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Democracy Collides With Technology in Smart Cities

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There is a difference between new technology we’ve already adopted without thinking it through and new technology that we still have the chance to tame before its harms start overwhelming its benefits.
 
Think about Google, Facebook, Apple and Amazon with their now essential products and services. We fell in love with their whiz-bang conveniences so quickly that their innovations become a part of our lives before we recognized their downsides.  Unfortunately, now that they’ve gotten us hooked, it’s also become our problem (or our struggling regulators’ problem) to manage the harms caused by their products and services. 
 
-For Facebook and Google, those disruptions include surveillance dominated business models that compromise our privacy (and maybe our autonomy) when it comes to our consumer, political and social choices.
 
-For Apple, it’s the impact of constant smart phone distraction on young people whose brain power and ability to focus are still developing, and on the rest of us who look at our phones more than our partners, children or dogs.
 
-For these companies (along with Amazon), it’s also been the elimination of competitors, jobs and job-related community benefits without their upholding the other leg of the social contract, which is to give back to the economy they are profiting from by creating new jobs and benefits that can help us sustain flourishing communities.
 
Since we’ll never relinquish the conveniences these tech companies have brought, we’ll be struggling to limit their associated damages for a very long time. But a distinction is important here. 
 
The problem is not with these innovations but in how we adopted them. Their amazing advantages overwhelmed our ability as consumers to step back and see everything that we were getting into before we got hooked. Put another way, the capitalist imperative to profit quickly from transformative products and services overwhelmed the small number of visionaries who were trying to imagine for the rest of us where all of the alligators were lurking.
 
That is not the case with the new smart city initiatives that cities around the world have begun to explore. 
 
Burned and chastened, there was a critical mass of caution (as well as outrage) when Google affiliate Sidewalk Labs proposed a smart-city initiative in Toronto. Active and informed guardians of the social contract are actively negotiating with a profit-driven company like Sidewalk Labs to ensure that its innovations will also serve their city’s long- and short-term needs while minimizing the foreseeable harms.
 
Technology is only as good as the people who are managing it.

For the smart cities of the future, that means engaging everybody who could be benefitted as well as everybody who could be harmed long before these innovations “go live.” A fundamentally different value proposition becomes possible when democracy has enough time to collide with the prospects of powerful, life-changing technologies.

Irene Williams used remnants from football jerseys and shoulder pads to portray her local environs in Strip Quilt, 1960-69

1.         Smart Cities are Rational, Efficient and Human

I took a couple of hours off from work this week to visit a small exhibition of new arrivals at the Philadelphia Museum of Art. 
 
To the extent that I’ve collected anything over the years, it has been African art and textiles, mostly because locals had been collecting these artifacts for years, interesting and affordable items would come up for sale from time to time, I learned about the traditions behind the wood carvings or bark cloth I was drawn to, and gradually got hooked on their radically different ways of seeing the world. 
 
Some of those perspectives—particularly regarding reduction of familiar, natural forms to abstracted ones—extended into the homespun arts of the American South, particularly in the Mississippi Delta. 
 
A dozen or so years ago, quilts from rural Alabama communities like Gee’s Bend captured the art world’s attention, and my local museum just acquired some of these quilts along with other representational arts that came out of the former slave traditions in the American South. The picture at the top (of Loretta Pettway’s Roman Stripes Variation Quilt) and the others pictures here are from that new collection.
 
One echo in these quilts to smart cities is how they represent “maps” of their Delta communities, including rooflines, pathways and garden plots as a bird that was flying over, or even God, might see them. There is rationality—often a grid—but also local variation, points of human origination that are integral to their composition. As a uniquely American art form, these works can be read to combine the essential elements of a small community in boldly stylized ways. 
 
In their economy and how they incorporate their creator’s lived experiences, I don’t think that it’s too much of a stretch to say that they capture the essence of community that’s also coming into focus in smart city planning.
 
Earlier this year, I wrote about Toronto’s smart city initiative in two posts. The first was Whose Values Will Drive Our Future?–the citizens who will be most affected by smart city technologies or the tech companies that provide them. The second was The Human Purpose Behind Smart Cities. Each applauded Toronto for using cutting edge approaches to reclaim its Quayside neighborhood while also identifying some of the concerns that city leaders and residents will have to bear in mind for a community supported roll-out. 
 
For example, Robert Kitchin flagged seven “dangers” that haunt smart city plans as they’re drawn up and implemented. They are the dangers of taking a one-size-fits-all-cities approach; assuming the initiative is objective and “scientific” instead of biased; believing that complex social problems can be reduced to technology hurdles; having smart city technologies replacing key government functions as “cost savings” or otherwise; creating brittle and hackable tech systems that become impossible to maintain; being victimized as citizens by pervasive “dataveillance”; and reinforcing existing power structures and inequalities instead of improving social conditions.
 
Google’s Sidewalk Labs (“Sidewalk”) came out with its Master Innovation and Development Plan (“Plan”) for Toronto’s Quayside neighborhood this week. Unfortunately, against a rising crescendo of outrage over tech company surveillance and data privacy over the past 9 months, Sidewalk did a poor job of staying in front of the public relations curve by regularly consulting the community on its intentions. The result has been rising skepticism among Toronto’s leaders and citizens about whether Sidewalk can be trusted to deliver what it promised.
 
Toronto’s smart cities initiative is managed by an umbrella entity called Waterfront Toronto that was created by the city’s municipal, provincial and national governments. Sidewalk also has a stake in that entity, which has a high-powered board and several advisory boards with community representatives.

Last October one of those board members, Ann Cavoukian, who had recently been Ontario’s information and privacy commissioner, resigned in protest because she came to believe that Sidewalk was reneging on its promise to render all personal data anonymous immediately after it was collected. She worried that Sidewalk’s data collection technologies might identify people’s faces or license plates and potentially be used for corporate profit, despite Sidewalk’s public assurance that it would never market citizen-specific data. Cavoukian felt that leaving anonymity enforcement to a new and vaguely described “data trust” that Sidewald intended to propose was unacceptable and that other“[c]itizens in the area don’t feel that they’ve been consulted appropriately” about how their privacy would be protected either.
 
This April, a civil liberties coalition sued the three Canadian governments that created Waterfront Toronto over privacy concerns which appeared premature because Sidewalk’s actual Plan had yet to be submitted. When Sidewalk finally did so this week, the governments’ senior representative at Waterfront Toronto publically argued that the Plan goes “beyond the scope of the project initially proposed” by, among other things, including significantly more City property than was originally intended and “demanding” that the City’s existing transit network be extended to Quayside. 
 
Data privacy and surveillance concerns also persisted. A story this week about the Plan announcement and government push-back also included criticism that Sidewalk “is coloring outside the lines” by proposing a governance structure like “the data trust” to moderate privacy issues instead of leaving that issue to Waterfront Toronto’s government stakeholders. While Sidewalk said it welcomed this kind of back and forth, there is no denying that Toronto’s smart city dreams have lost a great deal of luster since they were first floated.
 
How might things have been different?
 
While it’s a longer story for another day, some years ago I was project lead on importing liquefied natural gas into Philadelphia’s port, an initiative that promised to bring over $1 billion in new revenues to the city. Unfortunately, while we were finalizing our plans with builders and suppliers, concerns that the Liberty Bell would be taken out by gas explosions (and other community reactions) were inadequately “ventilated,” depriving the project of key political sponsorship and weakening its chances for success. Other factors ultimately doomed this LNG project, but consistently building support for a project that concerned the commmunity certainly contributed. Despite Sidewalk’s having a vaunted community consensus builder in Dan Doctoroff at its helm, Sidewalk (and Google) appear to be fumbling this same ball in Toronto today.
 
My experience, along with Doctoroff’s and others, go some distance towards proving why profit-oriented companies are singularly ill-suited to take the lead on transformative, community-impacting projects. Why?  Because it’s so difficut to justify financially the years of discussions and consensus building that are necessary before an implementation plan can even be drafted. Capitalism is efficient and “economical” but democracy, well, it’s far less so.
 
Argued another way, if I’d had the time and funding to build a city-wide consensus around how significant new LNG revenues would benefit Philadelphia’s residents before the financial deals for supply, construction and distribution were being struck, there could have been powerful civic support built for the project and the problems that ultimately ended it might never have materialized. 
 
This anecdotal evidence from Toronto and Philadelphia begs some serious questions: 
 
-Should any technology that promises to transform people’s lives in fundamental ways (like smart cities or smart phones) be “held in abeyance” from the marketplace until its impacts can be debated and necessary safeguards put in place?
 
-Might a mandated “quiet period“ (like that imposed by regulators in the months before public stock offerings) be better than leaving tech companies to bomb us with seductive products that make them richer but many of us poorer because we never had a chance to consider the fall-out from these products beforehand?
 
-Should the economic model that brings technological innovations with these kinds of impacts to market be fundamentally changed to accommodate advance opportunities for the rest of us to learn what the necessary questions are, ask them and consider the answers we receive?

Mama’s Song, Mary Lee Bendolph

3.         An Unintended but Better Way With Self-Driving Cars

I can’t answer these questions today, but surely they’re worth asking and returning to.
 
Instead, I’m recalling some of the data that is being accumulated today about self-driving/autonomous car technology so that the impacted communities will have made at least some of their moral and other preferences clear long before this transformative technology has been brought to market and seduced us into dependency upon it. As noted in a post from last November:

One way to help determine what the future should look like and how it should operate is to ask people—lots of them—what they’d like to see and what they’re concerned about…In the so-called Moral Machine Experiment, these researchers asked people around the world for their preferences regarding the moral choices that autonomous cars will be called upon to make so that this new technology can match human values as well as its developer’s profit motives.

For example, if a self-driving car has to choose between hitting one person in its way or another, should it be the 6-year old or the 60-year old? People in different parts of the world would make different choices and it takes sustained investments of time and effort to gather those viewpoints.

If peoples’ moral preferences can be taken into account beforehand, the public might be able to recognize “the human face” in a new technology from the beginning instead of having to attempt damage control once that technology is in use.

Public advocates, like those in Toronto who filed suit in April, and the other Cassandras identifying potential problems also deserve a hearing.  Every transformative project’s (or product’s or service’s) dissenters as well as its proponents need opportunities to persuade those who have yet to make up their minds about whether the project is good for them before it’s on the runway or already taken off. 

Following their commentary and grappling with their concerns removes some of the dazzle in our [initial] hopes and grounds them more firmly in reality early on.

Unlike the smart city technology that Sidewalk Labs already has for Toronto, it’s only recently become clear that the artificial intelligence systems behind autonomous vehicles are unable to make the kinds of decisions that “take into mind” a community’s moral preferences. In effect, the rush towards implementation of this disruptive technology was stalled by problems with the technology itself. But this kind of pause is the exception not the rule. The rush to market and its associated profits are powerful, making “breathers to become smarter” before product launches like this uncommon.
 
Once again, we need to consider whether such public ventilation periods should be imposed. 
 
Is there any better way to aim for the community balance between rationality and efficiency on the one hand, human variation and need on the other, that was captured by some visionary artists from the Mississippi delta?
 

+ + + 


Next week, I’m thinking about a follow-up post on smart cities that uses the “seven dangers” discussed above as a springboard for the necessary follow-up questions that Torontonians (along with the rest of us) should be asking and debating now as the tech companies aim to bring us smarter and better cities. In that regard, I’d be grateful for your thoughts on how innovation can advance when democracy gets involved.

This post was adapted from my June 30, 2019 newsletter. When you subscribe, a new newsletter/post will be delivered to your inbox every Sunday morning.

The Human Purpose Behind Smart Cities

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It is human priorities that should be driving Smart City initiatives, like the ones in Toronto profiled here last week. 

Last week’s post also focused on a pioneering spirit in Toronto that many American cities and towns seem to have lost. While we entrench in the moral righteousness of our sides in the debate—including, for many, a distrust of collective governance, regulation and taxation—we drift towards an uncertain future instead of claiming one that can be built on values we actually share. 

In its King Street and Quayside initiatives, Toronto is actively experimenting with the future it wants based on its residents’ commitment to sustaining their natural environment in the face of urban life’s often toxic impacts.  They’re conducting these experiments in a relatively civil, collaborative and productive way—an urban role model for places that seem to have forgotten how to work together. Toronto’s bold experiments are also utilizing “smart” technologies in their on-going attempts to “optimize” living and working in new, experimental communities.

During a short trip this week, I got to see the leading edges of New York City’s new Hudson Yards community (spread over 28 acres with an estimated $25 billion price tag) and couldn’t help being struck by how much it catered to those seeking more luxury living, shopping and workspaces than Manhattan already affords. In other words, how much it could have been a bold experiment about new ways that all of its citizens might live and work in America’s first city for the next half-century, but how little it actually was. A hundred years ago, one of the largest immigrant migrations in history made New York City the envy of the world. With half of its current citizens being foreign-born, perhaps the next century, unfurling today, belongs to newer cities like Toronto.

Still, even with its laudable ambition, it will not be easy for Toronto and other future-facing communities to get their Smart City initiatives right, as several of you were also quick to remind me last week. Here is a complaint from a King Street merchant that one of you (thanks Josh!) found and forwarded that seems to cast what is happening in Toronto in a less favorable light than I had focused upon it:

What a wonderful story. But as with [all of] these wonderful plans some seem to be forgotten. As it appears are the actual merchants. Google certainly a big winner here. Below an excerpt written by one of the merchants:
   
‘The City of Toronto has chosen the worst time, in the worst way, in the worst season to implement the pilot project. Their goal is clearly to move people through King St., not to King St. For years King St. was a destination, now it is a thoroughfare.
 
‘The goal of the King St. Pilot project was said to be to balance three important principles: to move people more effectively on transit, to support business and economic prosperity and to improve public space. In its current form, the competing principles seem to be decidedly tilted away from the economic well-being of merchants and biases efficiency over convenience. The casual stickiness of pedestrians walking and stopping at stores, restaurants and other merchants is lost.
 
‘Additionally, the [transit authority] TTC has eliminated a number of stops along King St., forcing passengers to walk further to enter and disembark streetcars, further reducing pedestrian traffic and affecting areas businesses. The TTC appears to believe that if they didn’t have to pick up and drop off people, they could run their system more effectively.
 
‘The dubious benefits of faster street car traffic on King St. notwithstanding, the collateral damage of the increased traffic of the more than 20,000 cars the TTC alleges are displaced from King St to adjoining streets has turned Adelaide, Queen, Wellington and Front Sts. into a gridlock standstill. Anyone who has tried to navigate the area can attest that much of the time, no matter how close you are you can’t get there from here.
 
‘Along with the other merchants of King St. and the Toronto Entertainment District we ask that Mayor Tory and Toronto council to consider a simple, reasonable and cost-effective alternative. Put lights on King St. that restrict vehicle traffic during rush hours, but return King St. to its former vibrant self after 7 p.m., on weekends and statutory holidays. It’s smart, fair, reasonable and helps meet the goals of the King St. pilot project. 

Two things about this complaint seemed noteworthy. The first is how civil and constructive this criticism is in a process that hopes to “iterate” as real time impacts are assessed. It’s a tribute that Toronto’s experiments not only invite but are also receiving feedback like this. Alas, the second take-away from Josh’s comment is far more nettlesome. “[However many losers there may be along the way:] Google certainly a big winner here.”

The tech giant’s partnership with Canada’s governments in Toronto raises a constellation of challenging issues, but it’s useful to recall that pioneers who dare to claim new frontiers always do so with the best technology that’s available. While the settling of the American West involved significant collateral damage (to Native Americans and Chinese migrants, to the buffalo and the land itself), it would not have been possible without existing innovations and new ones that these pioneers fashioned along the way. Think of the railroads, the telegraph poles, even something as low-tech as the barbed wire that was used to contain livestock. 

The problem isn’t human and corporate greed or heartless technology—we know about them already—but failing to recognize and reduce their harmful impacts before it is too late. The objective for pioneers on new frontiers should always be maximizing the benefits while minimizing the harms that can be foreseen from the very beginning instead of looking back with anger after the damage is done.

We have that opportunity with Smart City initiatives today.

Because they concentrate many of the choices that will have to be made when we boldly dare to claim the future of America again, I’ve been looking for a roadmap through the moral thicket in the books and articles that are being written about these initiatives today. Here are some of the markers that I’ve discovered.

Human priorities, realized with the help of technology

1.         Markers on the Road to Smarter and More Vibrant Communities

The following insights come almost entirely from a short article by Robert Kitchin, a professor at Maynooth University in Ireland. In my review of the on-going conversation about Smart Cities, I found him to be one of its most helpful observers.  

In his article, Kitchin discusses the three principal ways that smart cities are understood, the key promises smart initiatives make to stakeholders, and the perils to be avoided around these promises.

Perhaps not surprisingly, people envision cities and other communities “getting smarter” in different ways. One constituency sees an opportunity to improve both “urban regulation and governance through instrumentation and data-driven systems”–essentially, a management tool. A bolder and more transformative vision sees information and communication technology “re-configur[ing] human capital, creativity, innovation, education, sustainability, and management,” thereby “produc[ing] smarter citizens, workers and public servants” who “can enact polic[ies], produce better products… foster indigenous entrepreneurship and attract inward investment.” The first makes the frontier operate more efficiently while the second improves nearly every corner of it.

The third Smart City vision is “a counter-weight or alternative” to each of them. It wants these technologies “to promote a citizen-centric model of development that fosters social innovation and social justice, civic engagement and hactivism, and transparent and accountable governance.” In this model, technology serves social objectives like greater equality and fairness. Kitchin reminds us that these three visions are not mutually exclusive. It seems to me that the priorities embedded in a community’s vision of a “smarter” future could include elements of each of them, functioning like checks and balances, in tension with one another. 

Smart City initiatives promise to solve pressing urban problems, including poor economic performance; government dysfunction; constrained mobility; environmental degradation; a declining quality of life, including risks to safety and security; and a disengaged, unproductive citizen base. Writes Kitchin:

the smart city promises to solve a fundamental conundrum of cities – how to reduce costs and create economic growth and resilience at the same time as producing sustainability and improving services, participation and quality of life – and to do so in commonsensical, pragmatic, neutral and apolitical ways.

Once again, it’s a delicate balancing act with a range of countervailing interests and constituencies, as you can see in the chart from a related discussion above.
 
The perils of Smart Cities should never overwhelm their promise in my view, but urban pioneers should always have them in mind (from planning through implementation) because some perils only manifest themselves over time. According to Kitchin, the seven dangers in pursuing these initiatives include:
 
–taking “a ‘one size fits all’ approach, treating cities as generic markets and solutions [that are] straightforwardly scalable and movable”;
 
–assuming that initiatives are “objective and non-ideological, grounded in either science or commonsense.” You can aim for these ideals, but human and organizational preferences and biases will always be embedded within them.
 
–believing that the complex social problems in communities can be reduced to “neatly defined technical problems” that smart technology can also solve. The ways that citizens have always framed and resolved their community problems cannot be automated so easily. (This is also the thrust of Ben Green’s Smart Enough City: Putting Technology in Its Place to Reclaim Our Urban Future, which will be published by MIT Press in April. In it he argues for “smart enough alternatives” that are attainable with the help of technology but never reducible to technology solutions alone.)
 
–engaging with corporations that are using smart city technologies “to capture government functions as new market opportunities.” One risk of a company like Google to communities like Toronto’s is that Google might lock Toronto in to its proprietary technologies and vendors over a long period of time or use Toronto’s citizen data to gain business opportunities in other cities.
 
–becoming straddled with “buggy, brittle and hackable” systems that are ever more “complicated, interconnected and dependent on software” while becoming more resistant to manual fixes.
 
–becoming victimized by “pervasive dataveillance that erodes privacy” through practices like “algorithmic social sorting (whether people get a loan, a tenancy, a job, etc), dynamic pricing (whereby different people pay varying prices depending on their perceived customer value) and anticipatory governance using predictive profiling (wherein data precedes how a person is policed and governed).” Earlier this month, my post on popular on-line games like Fortnite highlighted the additional risk that invasive technologies can use the data they are gathering to change peoples’ behavior.
 
-and lastly, reinforcing existing power structures and inequalities instead of eroding or reconfiguring them.
 
While acknowledging the promise of Smart Cities at their best, Kitchin closes his article with this cautionary note:

the realities of implementation are messier and more complex than the marketing hype of corporations or city managers portray and there are a number of social, political, ethical and legal concerns with respect to the kind of society smart city initiatives seek to create.  As such, whilst networked urbanism has benefits, it also poses challenges and risks that are often little explored or legislated for ahead of implementation. Indeed, the pace of development and rollout of smart city technologies is proceeding well ahead of wider reflection, critique and regulation.

Putting the cart before a suitably-designed horse is a problem with all new and seductive technologies that get embraced before their harms are identified or can be addressed—a quandary that was also considered here in a post called “Looking Out for the Human Side of Technology.”

2.         The Value of Our Data

A few additional considerations about the Smart City are also worth bearing in mind as debate about these initiatives intensifies.

In a March 8, 2019 post, Kurtis McBride wrote about two different ways “to value” the data that these initiatives will produce, and his distinction is an important one. It’s a discussion that citizens, government officials and tech companies should be having, but unfortunately are not having as much as they need to.

When Smart City data is free to everyone, there is the risk that the multinationals generating it will merely use it to increase their power and profits in the growing market for Smart City technologies and services. From the residents’ perspective, McBride argues that it’s “reasonable for citizens to expect to see benefit” from their data, while noting that these same citizens will also be paying dearly for smart upgrades to their communities. His proposal on valuing citizen data depends on how it will be used by tech companies like Google or local service providers. For example, if citizen data is used:

to map the safest and fastest routes for cyclists across the city and offers that information free to all citizens, [the tech company] is providing citizen benefit and should be able to access the needed smart city data free of charge. 
 
But, if a courier company uses real-time traffic data to optimize their routes, improving their productivity and profit margins – there is no broad citizen benefit. In those cases, I think it’s fair to ask those organizations to pay to access the needed city data, providing a revenue stream cities can then use to improve city services for all. 

Applying McBride’s reasoning, an impartial body in a city like Toronto would need to decide whether Google has to pay for data generated in its Quayside community by consulting a benefit-to-citizens standard. Clearly, if Google wanted to use Quayside data in a Smart City initiative in say Colorado or California, it would need to pay Toronto for the use of its citizens’ information.
 
Of course, addressing the imbalance between those (like us) who provide the data and the tech companies that use it to increase their profits and influence is not just a problem for Smart City initiatives, and changing the “value proposition” around our data is surely part of the solution. In her new book Age of Surveillance Capitalism: the Fight for a Human Future in the New Frontier of Power, Harvard Business School’s Shoshana Zuboff says that “you’re the product if these companies aren’t paying you for your data” does not state the case powerfully enough. She argues that the big tech platforms are like elephant poachers and our personal data like those elephants’ ivory tusks. “You are not the product,” she writes. “You are the abandoned carcass.”
 
Smart City initiatives also provide a way to think about “the value of our data” in the context of our living and working and not merely as the gateway to more convenient shopping, more addictive gaming experiences or  “free” search engines like Googles’.

This post is adapted from my March 24, 2019 newsletter. Subscribe today and receive an email copy of future posts in your inbox each week.

Whose Values Will Drive Our Future?

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When people decide what is most important to them—and bother to champion it in conversation, in voting, in how they act everyday—they are helping to build the future.

It’s not just making noise, but that’s part of it. For years, when Emily was in grade school, the argument for an all-girl education was that the boys dominated the classroom with their antics and opinions while the girls were ignored or drowned out. Those making the most noise hog the attention, at least at first.

Later on, it’s about the quality of your opinions and the actions that back them up. Power and money in the commons of public life is not synonymous with good commitments or actions, but it does purchase a position with facts and experts and a platform to share it that can hold its own (if not prevail) in the wider debate over what the future will be like and what its trade-offs will cost. Not unlike the over-powered girls in grade school, it takes courage to stand up against what the best-organized, best-financed and most dominant corporate players want.

Part of the problem with these companies today is that many of them are nurturing, so that they can also cater to, lower-level priorities that we all have. For example, we all want convenience in our daily lives and to embrace a certain amount of distraction. The future that some companies want to deliver to us aims at catering to these (as opposed to other) priorities in the most efficient and profitable manner. For example:

-companies like Amazon profit by providing all the convenience you could ever want as a shopper, or

-when when your aim is relief from boredom or stress, social media, on-line games and search engines like Google provide wonderlands of distraction to lose yourself in.

Moreover, with the behavioral data these companies are harvesting from you whenever you’re on their platforms, they’ll hook you with even greater conveniences, forms of escapism and more stuff to buy in the future. Their priorities of efficiency and profit almost perfectly dovetail with ours for convenience and distraction.

This convenient and distracted future—along with a human yearning for something more—is captured with dazzling visuals and melancholy humor in Wall-E, a 10-year old movie from Pixar. (It’s worth every minute for a first or second view of a little trash robot named Wall-E’s bid to save the human race from itself.) In its futuristic world, the round-as-donuts humans who have fled the planet they’ve soiled spend their days on a We’ve-Thought-of-Everything cruise ship that’s floating through space. Except, as it turns out, the ship’s operators aren’t providing everything their passengers want and need, or want and need even more, like a thriving planet to call home.

Wall-E’s brilliance doesn’t come from an either/or future, but from a place where more important priorities are gradually acknowledged and acted upon too. It’s deciding to have more of some things and somewhat less of others. Back in the real world, that change in priorities might involve diverting some of our national resources away from economic efficiency and profit to support thriving families and communities (January 27, 2019 newsletter). Or, as in Wall-E’s case, using fewer of our shared resources for convenience and distraction and more for restoring an environment that can sustain our humanity in deeper ways.

On the other hand, as anyone who has tried it knows: it can be hard to find enough courage to stand up to those who are dominating (while they’re also subverting) the entire conversation about what we should want most. It’s our admiration for Wall-E’s kind of courage that makes Toronto’s citizens so inspiring today. Why these northern neighbors?  Because they are trying through their actions to meet a primary shared objective—which is to build a sustainable urban environment that protects its natural resources—without losing sight of other priorities like efficiency, convenience and strengthening the bonds of family and community in their city.

And as if that weren’t enough, there is another wrinkle to the boldness that Torontonians are currently demonstrating. The City is partnering with tech giant Google on a key piece of data-driven redevelopment. As we admire them from afar, maybe we can also learn some lessons about how to test-drive a carbon-free future while helping that future to evolve with data we provide as we live and work. This fascinating and hopeful city is raising the kinds of questions that can only be asked when a place has the courage to stop talking about its convictions and start acting on them.

I was walking in lower Manhattan this week when I caught the sign above, encouraging me to bring my hand in for a palm reading.

I knew the fortuneteller wouldn’t find my future there, but she was probably right about one thing. Your prior experience is etched in the lines on your hands and your face. But as to where these lines will take you next, the story that Toronto is writing today is likely to provide better guidance than she will—and more information about the priorities to be weighed and measured along the way. 

1.         A Carbon-Free Future

Toronto has initiated two experiments, one is to gradually reduce its carbon footprint to nothing and the other is to build a community from the ground up with the help of data from its new residents. Both experiments are in the early stages, but they provide tantalizing glimpses into the places where we all might be living and working if we commit to the same priorities as Toronto.
 
When I’ve visited this City, it always seemed futuristic to me but not because of its built environment. Instead, it was its remarkably diverse population drawn in large numbers from every corner of the globe. Only later did I learn that over half of Toronto’s population is foreign-born, giving the place a remarkable sense of optimism and new beginnings.
 
Declaring its intention to radically reduce its use of fossil fuels, Toronto has taken a long stretch of King Street, one of the City’s busiest commercial and recreational boulevards, and implemented a multi-faceted plan that bans most private traffic, upgrades the existing streetcar system, concentrates new residential and commercial space along its corridor, and utilizes these densities and proximities to encourage both walking and public transportation for work, school, shopping and play.
 
In contrast to a suburban sprawl of large homes and distant amenities that require driving, Toronto’s urbanized alternative offers smaller living spaces, more contact with other members of the community, far less fuel consumption, and reclaimed spaces for public use that were once devoted to parking or driving. One hope is that people will feel less isolated and lonely as proximity has them bumping into one another more regularly. Another is that residents and workers visiting daily will become more engaged in public life because they’ll need to cooperate in order to share its more concentrated spaces.
 
Toronto’s King Street experiment envisions a time when all of its streets will be “pedestrianized.” There will still be cars, but fewer will be in private hands and those that remain will be rented as needed—anticipating the rise of on-call autonomous vehicles. Streets and roads will also remain, but they will increasingly be paid for by those who use them most, further reducing the need for underutilized roadways and freeing up space for other uses like parks and recreational corridors.
 
Toronto’s experiment in urban living also promotes a “sharing economy,” with prices for nearly everything reduced when the cost is shared with others. Academics like Daniel Hoornweg at the University of Ontario’s Institute of Technology have been particularly interested in using reduced prices to drive the necessary changes. It’s “sharing rides, sharing tools, sharing somebody to look after your dog when you’re not there,” says Hoornweg. Eventually, the sharing economy that started with Uber and Airbnb will become almost second nature as it becomes more affordable and residents exchange their needs to own big homes and cars for other priorities like a sustainable environment, greater access to nature within an urban area, and more engagement over shared pursuits with their neighbors. 
 
For a spirited discussion about Toronto’s King Street experiment that includes some of its strongest boosters, you can listen here to an NPR-Morning Edition segment that was broadcast earlier this week.

2.         Toronto’s Quayside Re-Development

Much like in Philadelphia where I’m writing this post, some of Toronto’s most desireable waterfront areas have been isolated from the rest of its urban center by a multi-lane highway. In response, Toronto has set aside a particularly lifeless area “of rock-strewn parking lots and heaps of construction materials” that’s spread over a dozen acres for the development of another urban experiment, this time in partnership with a “smart-cities” Google affiliate called Sidewalk Labs. In October, a coalition of the City, Ontario and Canadian governments contracted with Sidewalk to produce a $50 million design for a part of town that’s been renamed Quayside, or what Sidewalk calls “the world’s first neighborhood built from the internet up”—a sensor-enabled, highly wired environment that promises to run itself.

According to a recent article in Politico (that you can also listen to), Quayside will be “a feedback-rich” smart city “whose constant data flow [will] let it optimize services constantly” because it is “not only woven through with sensors and Wi-Fi, but [also] shaped around waves of innovation still to come, like self-driving cars.” For example, in keeping with Toronto’s other pay-as-you-go priorities, one of Quayside’s features will be “pay-as-you-throw” garbage chutes that automatically separate out recyclables and charge households for their waste output.

Here are a couple of views of the future development, including tags on some of the promised innovations.

The new Quayside neighborhood in Toronto

A truly smart city runs on data that is generated from its inhabitants and behaviorally informed algorithms instead of on decisions that are made by Sidewalk’s managers or public officials. Not surprisingly, this raises a series of legal and quality of life questions. 

On the legal side, those questions include: who owns the data produced by Sidewalk’s sensors and WiFi monitors; who controls the use of that data after it’s been generated; and whose laws apply when conflicts arise?  On the issue of data privacy (and other potential legal differences), the Politico article notes that there are:

few better places to have this conversation than Canada, a Western democracy that takes seriously debates over informational privacy and data ownership—and is known for managing to stay polite while discussing even hot-button civic issues.

Moreover, because Canadians view personal privacy as a fundamental human right instead of one that can be readily traded for a “free” Gmail account or access to Google’s search engine, Sidewalk has already stipulated that data collected in Quayside will never be used to sell targeted advertising. 
 
Undesirable human impacts from machine decision-making have also been raised, and Sidewalk is hoping to minimize these impacts by asking the City’s residents in advance for their own visions and concerns about Quayside. A year of consultations is already informing the initial plan. 
 
Longer term, urbanists like Arielle Arieff worry about “the gap between what data can and cannot do” when running a neighborhood.  Part of the beauty of city living is the connections that develop “organically”–chance occurrences and random encounters that a database would never anticipate. Arieff says: “They really do believe in their heart and soul that it’s all algorithmically controllable, but it’s not.”  As if to confirm her suspicions, Sidewalk’s lead manager seems equally convinced that today’s technology can “optimize everyone’s needs in a more rational way.” 
 
Given the expertise and perspective Toronto will be gaining from its King Street experiment and its citizens’ sensitivity to human concerns (like privacy) over efficiency concerns (like convenience), there is room for optimism that the City will strike a livable balance with its high tech partner. Moreover, Sidewalk Labs has a significant incentive to get it right in Quayside. There is an adjacent and currently available 800-acre lot known as Port Lands, “a swath of problem space big enough to become home to a dozen new neighborhoods in a growing metropolis.”
 
To me, Toronto’s Quayside experiment seems to have little downside, with more serious issues arising in Sidewalk’s future smart city projects. Sidewalk may not be selling its Toronto data to advertisers, but it will be vastly more knowledgeable than other cities that lack either the rich pools of behavioral data it has accumulated in Toronto or the in-house expertise to interpret it. Among other things, this creates a power imbalance between a well-funded private contractor and underfunded cities that lack the knowledge to understand what they stand to gain or to forge a working partnership they can actually benefit from. Simone Brody, who runs the Bloomberg Philanthropies’ “What Works Cities” project, says: “When it comes to future negotiations, its frightening that Google will have the data and [other] cities won’t.”
 
But these are longer-range concerns, and there is reason today for cautious optimism that American regulators (for example) will eventually begin to treat powerful tech companies that are amassing and utilizing public data more like “utilities” that must serve the public as well as their own profit-driven interests. That kind of intervention could help to level the public-private playing field, but it’s also a discussion for another day. 
 
In the meantime, Toronto’s boldness in experimenting its way to a future that champions its priorities through the latest innovations is truly inspiring. The cities and towns where the rest of us live and work have much to learn from Toronto’s willingness to claim the future it wants by the seat of its pants.  

This post was adapted from my March 17, 2019 newsletter.

Flourishing in Every Job

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Taking greater satisfaction from your work may be your goal, but it seems that it’s hardly the government’s or the economy’s goal. Not so long ago it felt differently, that those goals were all more aligned—and maybe they could be again–but only if we gain a better understanding of how that alignment came about in the first place and the choices we can make in the workplace and at the ballot box to support it again.

Economist Edmund Phelps provides a powerful argument for how the American worker’s wellbeing and capitalism’s productivity became intertwined in his 2013 book Mass Flourishing: How Grassroots Innovation Created Jobs, Challenge, and Change. His aim in writing it (I think) was to remind us that there used to be more of an alliance between how good we felt about ourselves when we were working and the benefits that our good work produced in the economy at large.

Phelps makes several proposals to restore that sense of equilibrium. But in a wide-ranging argument that relies on history, philosophy and quantitative analysis, his primary objective seems to be an ethical one:  to get us thinking about what is important about our work and how to advance those priorities in the choices we make about the quality of life we want to be working for.

When his book came out, Phelps (who teaches economics at Columbia) gave a lecture with the related title: “Mass Flourishing: How It Was Won, Then Largely Lost.” It summarized several of his book’s arguments in a highly accessible format.  Most of the quotations below come from that lecture. It is only a few pages long and well worth your time to read it in full.

Phelps’ thesis is that modern American capitalism created a culture of innovation, which refers to each worker’s entrepreneurial mindset as well as to the broader economic and social benefits that mindset produced. For the individual worker, this culture fostered:

a spirit that views the prospect of unanticipated consequences that may come with voyaging into the unknown as a valued part of experience and not a drawback.

In other words, at the same time that an innovation culture produces economic growth, it also gives rise to the experience of human flourishing as workers become more powerful and capable both as explorers and creators of the new world where they’ll be living.

According to Phelps, it was the Industrial Revolution (around 1800) that ushered in a period of individual and countrywide thriving that continued in America through at least the 1960’s. It was an explosion of individual and economic energy that would not have been possible without the Enlightenment values that took root, particularly in America, during an overlapping historical period.

The impetus for high dynamism, my book argues, was the modern values arising in Jacques Barzun’s Modern Era – roughly from 1490 to 1940 – particularly the values we associate with individualism and vitalism. They include thinking for oneself, working for oneself, competing with others, overcoming obstacles, experimenting and making a mark. The courage to express one’s self by creating or exploring the unknown and the gumption to stand apart from community, family and friends are also modern values. The thesis is that these values stirred a desire to flourish; they shaped a modern conception of the life to aim for – the good life. A prevalence of these values in a nation tends to generate an economy that offers work gratifying those desires – an economy that delivers flourishing.

How these values changed individual workers and the economy around them may be Phelps’ central insight. The standard argument has been that capitalism or “free enterprise” merely took advantage of discoveries and innovations that had been produced by science. Phelps argues that competition between workers in order to prosper contributed at least as much to individual and economic advancement—that capitalism creates innovation instead of merely feeding upon it. For him, it is the Enlightenment values that we brought to work for more than a century and a half that made “the good life” possible.

As quoted in a Thanksgiving article from a few days ago, this is the vitality and ambition that Alexis de Tocqueville witnessed when he traveled across America in the 1830’s, with its grassroots “religious, moral, commercial and industrial associations” standing in for the nobility and bureaucracy that limited European progress. It is what Lincoln was talking about when he observed that in America, “every man can make himself,” as illustrated in a speech he gave in 1859:

The prudent, penniless beginner in the world labors for wages awhile, saves a surplus with which to buy tools or land for himself; then labors on his own account another while, and at length hires another new beginner to help him. This… is free labor — the just and generous, and prosperous system, which opens the way for all — gives hope to all, and energy, and progress, and improvement of condition to all.

But then says Phelps, starting around 1970 and extending into the present day, the values of “free labor” have been constrained or overtaken by other values. In the wake of the New Deal of the 1930’s and even more so of the Great Society of the 1960’s, “traditional” social values have increasingly challenged what used to be our “vigorously individualistic” ones, including the current preference for  “solidarity, social protection and security.”  Among other things, these society changing priorities gave rise to “a vast canvas of entitlements… [and] to thickets of regulation” that impeded and sometimes overwhelmed the culture of innovation.

Instead of driving an economy that championed a good life from the ground up for individual workers, American policymakers began to manage the economy from the top down so that it would be what they conceived of as good for everyone. For Phelps, the satisfaction that came from realizing yourself through your talents at work along with the explosion of productivity that accompanied it in the economy—a century and a half of “mass flourishing”—was increasingly constrained by the parallel pursuit of other, well-meaning priorities. We tried to do two things at once, with a number of unintended consequences.

For one thing, the personal pride and psychic reward that were yours when you seized the opportunity “to make yourself” through your work were replaced by the promise of material wellbeing. Realizing your potential and learning new things about yourself while you overcame challenges in the rough and tumble working world were increasingly exchanged for the security of income and savings and for your leisure time away from work.  According to Phelps, this trade-off no longer serves the individual worker’s “non-material experience” at all, draining work of everything that had once made it so satisfying.

These [recent] formulations overlook the world of creation, exploration and personal growth. Gone is the conception of the good life as a wild ride through an economy with an open future, an economy offering challenges with unimagined rewards. In this climate, young people are not likely to grow up conceiving the good life as a life of Kierkegaardian mystery, Nietzschean challenge and Bergsonian becoming.

(I know, pretty philosophical for an economist.)

Unfortunately as a result, work today has not only become the 8 hours you have to “get through” on your way to a paycheck and a week of vacation, but it also accounts for the startling pull-back of national productivity over the past 50 years.  If we accept his thesis, “mass flourishing” has been replaced by widespread worker dissatisfaction, a decline in economic opportunity with few “haves” and many “have nots,” and an overall economy that seems to have run out of gas.

According to Phelps, the creative competition inherent in grassroots capitalism and the Enlightenment values that allowed it to thrive are essential to an innovation culture that brings prosperity at the same time that it makes work engaging. For him, Washington and the decision makers in other Western governments may believe that they can create more orderly and just societies by regulating, taxing and reducing economic growth, but by doing so they have nearly killed the golden goose.

When the values of the corporate state overtake the values of an innovation culture, the result is slower wage growth, reduced productivity in the economy, greater inequality among the nation’s stakeholders, less inclusiveness in promises like “the American Dream,” a sharp reduction in individual job satisfaction, and workers who have lots of stuff at the end of the day but little sense of personal meaning in their lives. One of the great virtues of Mass Flourishing is that it backs its arguments with the kinds of statistics that you’d expect from a Nobel Prize-winning economist like Phelps.

Artist Saul Steinberg imagines today’s workers, out to recover what they’ve lost

What Phelps does not provide are any statistics that quantify the loss of individual, work-related “meaning” over the past 50 years. But to me at least, his conclusion seems bolstered by the findings of a Gallop Poll that was taken around the same time that Phelps’ book came out.  Its data proved the sorry state of worker engagement both here and elsewhere, as measured by an employee’s “psychological commitment” to his or her job as well as worker disengagement due to a “lack of motivation” and the disinclination “to invest discretionary effort in organizational goals or outcomes.”

Among North American workers, the Poll determined that 71% of the workforce was disengaged, while globally the level was an even more alarming 87%. Moreover, a substantial subset of checked-out workers was found to be “actively” disengaged. These individuals were not only “unhappy and unproductive,” but also “liable to spread [their] negativity to coworkers.” That all four corners of Phelps’ argument are evidence-based makes it particularly compelling food for thought.

As a result, his thesis challenges my sometimes belief (or is it arrogance?) that greater justice, equality, etc. can be achieved by enlightened government policies, even though experience tells me that there never seems to be a large or robust enough majority to produce real change. Does a tried-and-true system like Phelps “grassroots innovation,” with its mix of individual and system-wide incentives, have a better chance than well-meaning political agendas of producing “a good outcome” for both workers and the country’s economy?

Unfortunately, many of Phelps’ proposals for recovering what’s been lost seem impossible in today’s America. One of them still appeals to me however. It would mandate that members of Congress be people who have done more with their lives than practice law or connive in politics. Phelps’ proposes that all of our legislators be workers who have experienced competition first hand and, therefore, have been forced to innovate on the job. They would bring what they know about flourishing at work to Washington before returning, after term limits, to their highly productive lives.

Today, at the end of 2018, there is still grassroots innovation in America, and not just in the garages of Silicon Valley. When your work goals are in line with Enlightenment values like thinking for yourself, enjoying competition and overcoming obstacles, while experimenting, creating and exploring the unknown, you’ll find the opportunities for innovation at work. But these days, you may need to make a more deliberate effort to find them.

This post is adapted from my November 25, 2018 newsletter. Subscribe today.

Good Work Uses Innovation to Drive Change

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Welcome to the “white-water world”—a world that is rapidly changing, hyper-connected and radically contingent on forces beyond our control.

The social environment where we live and work today:

– makes a fool out of the concept of mastery in all areas except our ability–or inability–to navigate these turbulent waters successfully (the so-called “caring” professions may be the only exception);

– requires that we work in more playful and less pre-determined ways in an effort to to keep up with the pace of change and harness it for a good purpose;

– demands workplaces where the process of learning allows the tinkerer in all of us “to feel safe” from getting it wrong until we begin to get it right;

– calls on us to treat technology as a toolbox for serving human needs as opposed to the needs of states and corporations alone;  and finally,

– this world requires us to set aside time for reflection “outside of the flux” so that we can consider the right and wrong of where we’re headed, commit to what we value, and return to declare those values in the rough and tumble of our work tomorrow.

You’ve heard each of these arguments here before. Today, they get updated and expanded in a commencement address that was given last month by John Seely Brown. He was speaking to graduate students receiving degrees that they hope will enable them to drive public policy through innovation. But his comments apply with equal force to every kind of change–small changes as well as big ones–that we’re pursuing in our work today.

When you reach the end, I hope you’ll let me know how Brown’s approach to work relates to the many jobs that are still ahead of you.

Good Work Uses Innovation to Drive Change

John Seely Brown is 78 now. It seems that he’s never stopped trying to make sense out of the impacts that technology has on our world or how we can use these extraordinary tools to make the kind of difference we want to make.

Brown is currently independent co-chairman of the Center for the Edge, an incubator of ideas that’s associated with the global consulting firm Deloitte. In a previous life, he was the chief scientist at Xerox and the director of its Palo Alto Research Center (or PARC). Brown speaks, writes and teaches to provoke people to ask the right questions. He stimulates our curiosity by defining the world in simple, practical terms that are easy to understand but more difficult to confront. As a result, he also wants to share his excitement and optimism so that our own questioning yields solutions that make the most out of these challenges and opportunities.

He begins his commencement address with quotes from two books that frame the challenge as he sees it.

KNOWLEDGE IS TOO BIG TO KNOW

We used to know how to know. We got our answers from books or experts. We’d nail down the facts and move on. We even had canons . . . But in the Internet age, knowledge has moved onto networks. There’s more knowledge than ever, but it’s different. Topics have no boundaries, and nobody agrees on anything.  (from “Too Big To Know” by David Weinberger)

A WEB OF CONNECTIONS CHANGES EVERYTHING

The seventh sense is the ability to look at any object and see (or imagine) the way in which it is changed by connection–whether you are commanding an army, running a Fortune 500 company, planning a great work of art, or thinking about your child’s education. (from “The Seventh Sense” by Joshua Cooper Remo)

These realities about knowledge and connection impact not only how we think (research, practice, and create) but also how we feel (love, hate, trust and fear). Brown analogizes the challenge to navigating “a white water world” that requires particular kinds of virtuosity. That virtuosity includes:

– reading the currents and disturbances around you;

– interpreting the flows for what they reveal about what lies beneath the surface; and

– leveraging the currents, disturbances and flows for amplified action.

In short, you need to gain the experience, reflexes and opportunism of a white-water rafter to make the most out of your work today.

Becoming Entrepreneurial Learners

To confront the world like a white-water rafter, Brown argues—in a kind of call to arms—that each graduate (and by implication, each one of us too) needs to be a person whose work:

Is always questing, connecting, probing.

Is deeply curious and listening to others.

Is always learning with and from others.

Is reading context as much as reading content.

Is continuously learning from interacting with the world, almost as if in conversation with the world.

And finally, is willing to reflect on performance, alone and with the help of others.

No one is on this journey alone or only accompanied by the limited number of co-workers she sees everyday.

John Seely Brown

Years before giving this commencement address, Brown used the “one room schoolhouse” in early American education as the springboard for a talk he gave about the type of learning environment we need to meet this “call to arms.” In what he dubbed the One Room Global Schoolhouse, he applied ideas about education from John Dewey and Maria Montessori to the network age. This kind of learning has new characteristics along with some traditional ones.

Learning’s aim both then and now “is making things as well as contexts,” because important information comes from both of them. It is not simply the result (the gadget, service or competence with spelling) that you end up with but also how you got there. He cites blogging as an example, where the blog post is the product but its dissemination creates the context for a conversation with readers. Similarly, in a one-room schoolhouse, a student may achieve his goal but only does so because everyone else who’s with him in the room has helped him. (I’ve been taking this to heart by adapting each week’s newsletter into a blog post so that you can share your comments each week with one another instead of just with me if you want to.)

On the other hand, learning in a localized space that’s open to global connections and boundless knowledge means that it’s better to “play with something until it just falls into place.” It’s not merely the problem you’re trying to solve or the change you’re trying to make but also creating an environment where discovery becomes possible given the volume of inputs and information. This kind of work isn’t arm’s length, but immersive. (I think of finger-painting instead of using a brush.) It allows you to put seemingly unrelated ideas, components or strategies together because it’s fun to do so and–almost incidentally–gives rise to possibilities that you simply didn’t see before. In Global Schoolhouses, “tinkering is catalytic.”

Because “time is money” in the working world, one of the challenges is for leaders, managers, coordinators, and teachers to provide “a space of safety and permission” where you can make playful mistakes until you get it right. Because knowledge is so vast and our connections to others so extensive, linear and circumscribed forms of learning simply can’t harness the tools at our disposal to make the world a better place.

Some of the learning we need must be (for lack of a better word) intergenerational too. Brown is inspired by the one room schoolhouse where the younger kids and the older kids teach one another and where the teacher acts as coach, coordinator and mentor once she’s set the table. In today’s workplace, Brown’s vision gets us imagining less hierarchical orgnizations, workers plotting the directions they’ll follow instead of following a manager’s directions, and constantly seeking input from all of the work’s stakeholders, including owners, suppliers, customers and members of the community where the work is being done. The conversation needs to be between the youngest and the oldest too. For the magic to happen in the learning space where you work, that space should be as open as possible to the knowledge and connections that are outside of it.

In his commencement address, Brown refers to Sherlock Holmes when describing the kind of reasoning that can be developed in learning collaborations like this.

[W]here Holmes breaks new ground is insisting that the facts are never really all there and so, one must engage in abductive reasoning as well. One must ask not only what do I see but what am I not seeing and why? Abduction requires imagination! Not the ‘creative arts’ kind but the kind associated with empathy. What questions would one ask if they imagined themselves in the shoes, or situation of another.

Here’s a video from Brown’s talk on the “Global One Room Schoolhouse.” It is a graphic presentation that covers many of the points above. While I found the word streams snaking across the screen more distracting than illuminating, it is well worth the 10 minutes it will take for you to listen to it.

There’s Cause for White-Water Optimism

We’re worrying about our work for lots of reasons today. Recent news reports have included these troubling stories:

– the gains in gross national product (or wealth) that were reported this week are not being shared with most American workers, which means the costs and benefits of work are increasingly skewed in favor of the few over the many;

– entire categories of work—particularly in mid-level and lower paying jobs—will be eliminated by technologies like advanced robotics and artificial intelligence over the next decade;  and

– the many ways that we’re failing to consider the human impacts of technologies because of the blinding pace of innovation and the rush to monetize new products before we understand the consequences around their use—stories about cell phone and social media addictions, for example.

Brown’s attempt to produce more white-water rafters who can address these kinds of challenges is part of the solution he proposes. Another part is to balance our legitimate concerns about the changes we’re experiencing with optimism and excitement about the possibilities as he sees them.

Brown closes his commencement address with a story about the exciting possibiities of new technology tools. It’s about how Artificial Intelligence (AI) can become Intelligence Augmentation (or IA). “[I]f we can get this right,  he says, ” this could lead to a kind of man/machine virtuosity that actually enhances our humanness rather than the more dystopian view of robots replacing most of us.”

Brown witnessed this shift to “virtuosity” during the now legendary contest that pitted the greatest Go player in the world against AlphaGo, an artificial intelligence program. (Maybe the world’s most complex game, Go has been played in East Asia for more than 2500 years.)

There is a documentary about AlphaGo (trailer here) that I watched last night and that I agree with Brown is “stunning.”  It follows at close range the team that developed the AIphaGo program, the first games the program played and lost, and the final match where AlphaGo beat the world champion in 4 out of 5 games. What Brown found most compelling (and shared with his graduates) were the testimonials and comments at the end.

Those who play the game regularly, like Brown apparently does, found the gameplay they witnessed to be “intuitive and surprising,” even “creative.” Passionate players who watched the human/machine interaction throughout felt it expanded the possibilities and parameters of the game, “a different sense of the internal beauty of the game.” For the world champion himself, it was striking how much it improved his Go play after the epic match. Brown was so excited by these reports that he felt the 21stCentury actually began in 2016 when the championship matches took place. In his mind, it marked the date when humans and machines began to “learn with and from each other.”

Of course, Brown’s AlphaGo story is also about the entrepreneurial learning that produced not only an awe-inspiring product but also a context where literally millions had input in the lessons that were being learned along the way.

+ + +

The past year’s worth of newsletter stories have considered many of the observations that Brown makes above. If you’re interested, there are links to all published newsletters on the Subscribe Page. Here’s a partial list of topics that relate to today’s discussion:

– how technology influences the future of our work (9/13/17-why “small” inventions like barbed wire, modern paper and the sensors in our phones can be more influential than “big” ones like the smart phone itself; 10/1/17-how blockchain could monetize every job, big and small, where you have something of value that others want);

– how openness to “the new and unexplored” is key to survival in work and in life (8/20/17–working groups outside your discipline are better at “scaling up” learning in rapidly changing industries; 6/24/18–a genetic marker for extreme explorers has been found among the first settlers of the Western Hemisphere); and

– the value of playful tinkering (7/2/17 -if you really want to learn, focusing less may allow you to see more); 8/27/17–how curiosity without formal preparation can win you a Nobel Prize in physics; and 10/17/17–the one skill you’ll need in the future according to the World Economic Forum is the ability to play creatively).

What John Seely Brown does in his June commencement address is to link these ideas (and others) into a narrative that’s filled with his own excitement and optimism. In my experience, the commencement address season is a particularly good time to find his kind of inspiration.

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