This week, I appeared on the Tech Freedom Tech Policy Podcast to discuss “Who’s Afraid of Artificial Intelligence?” It’s an in-depth, wide-ranging conversation about all things AI related. Here’s a summary of what host what Corbin Barthold and I discussed:
The “little miracles happening every day” thanks to AI
Is AI a “born free” technology?
Potential anti-competitive effects of AI regulation
The flurry of joint letters
new AI regulatory agency political realities
the EU’s Precautionary Principle tech policy disaster
The looming “war on computation” & open source
The role of common law for AI
Is Sam Altman breaking the very laws he proposes?
Do we need an IAEA for AI or an “AI Island”
Nick Bostrom’s global control & surveillance model
Why “doom porn” dominates in academic circles
Will AI take all the jobs?
Smart regulation of algorithmic technology
How the “pacing problem” is sometimes the “pacing benefit”
It was my pleasure to recently join Matthew Lesh, Director of Public Policy and Communications for the London-based Institute of Economic Affairs (IEA), for the IEA podcast discussion, “Should We Regulate AI?” In our wide-ranging 30-minute conversation, we discuss how artificial intelligence policy is playing out across nations and I explained why I feel the UK has positioned itself smartly relative to the US & EU on AI policy. I argued that the UK approach encourages a better ‘innovation culture’ than the new US model being formulated by the Biden Administration.
We also went through some of the many concerns driving calls to regulate AI today, including: fears about job dislocations, privacy and security issues, national security and existential risks, and much more.
I have a new R Street Institute policy study out this week doing a deep dive into the question: “Can We Predict the Jobs and Skills Needed for the AI Era?” There’s lots of hand-wringing going on today about AI and the future of employment, but that’s really nothing new. In fact, in light of past automation panics, we might want to step back and ask: Why isn’t everyone already unemployed due to technological innovation?
To get my answers, please read the paper! In the meantime, here’s the executive summary:
To better plan for the economy of the future, many academics and policymakers regularly attempt to forecast the jobs and worker skills that will be needed going forward. Driving these efforts are fears about how technological automation might disrupt workers, skills, professions, firms and entire industrial sectors. The continued growth of artificial intelligence (AI), robotics and other computational technologies exacerbate these anxieties.
Yet the limits of both our collective knowledge and our individual imaginations constrain well-intentioned efforts to plan for the workforce of the future. Past attempts to assist workers or industries have often failed for various reasons. However, dystopian predictions about mass technological unemployment persist, as do retraining or reskilling programs that typically fail to produce much of value for workers or society. As public efforts to assist or train workers move from general to more specific, the potential for policy missteps grows greater. While transitional-support mechanisms can help alleviate some of the pain associated with fast-moving technological disruption, the most important thing policymakers can do is clear away barriers to economic dynamism and new opportunities for workers.
I do discuss some things that government can do to address automation fears at the end of the paper, but it’s important that policymakers first understand all the mistakes we’ve made with past retraining and reskilling efforts. The easiest thing to do to help in the short-term is clear away barriers to labor mobility and economic dynamism, I argue. Again, read the study for details.
For more info on other AI policy developments, check out my running list of research on AI, ML robotics policy.
This a running list of all the essays and reports I’ve already rolled out on the governance of artificial intelligence (AI), machine learning (ML), and robotics. Why have I decided to spend so much time on this issue? Because this will become the most important technological revolution of our lifetimes. Every segment of the economy will be touched in some fashion by AI, ML, robotics, and the power of computational science. It should be equally clear that public policy will be radically transformed along the way.
Eventually, all policy will involve AI policy and computational considerations. As AI “eats the world,” it eats the world of public policy along with it. The stakes here are profound for individuals, economies, and nations. As a result, AI policy will be the most important technology policy fight of the next decade, and perhaps next quarter century. Those who are passionate about the freedom to innovate need to prepare to meet the challenge as proposals to regulate AI proliferate.
There are many socio-technical concerns surrounding algorithmic systems that deserve serious consideration and appropriate governance steps to ensure that these systems are beneficial to society. However,
there is an equally compelling public interest in ensuring that AI innovations are developed and made widely available to help improve human well-being across many dimensions. And that’s the case that I’ll be dedicating my life to making in coming years.
Here’s the list of what I’ve done so far. I will continue to update this as new material is released: Continue reading →
One of the keys to improving the standard of living for citizens is to make sure it isn’t too difficult for them to form new businesses or find good jobs. Unfortunately, some governments make that process harder than it should be. San Francisco serves as a prime example. An important new report just out from Arizona State University proves that.
The report is a major undertaking that examines how 115 North American cities rank overall, as measured by six categories: starting a business, employing workers, getting electricity, registering property, paying taxes, and resolving insolvency. Among all U.S. cities, San Francisco ranks dead last with a score of 59.04 out of a 100. Of the 115 cities evaluated in Canada, Mexico, and the U.S., San Fran ranked 77th. By comparison, Oklahoma City ranked first in overall ease of doing business with a score of 85.22.
Imagine a competition to design the most onerous and destructive economic regulation ever conceived. A mandate that would make all other mandates blush with embarrassment for not being burdensome or costly enough. What would that Worst Regulation Ever look like?
Unfortunately, Bill de Blasio has just floated a few proposals that could take first and second place prize in that hypothetical contest. In a new Wired essay, the New York City mayor and 2020 Democratic presidential candidate explains, “Why American Workers Need to Be Protected From Automation,” and aims to accomplish that through a new agency with vast enforcement powers, and a new tax.
Taken together, these ideas represent one of the most radical regulatory plans any America politician has yet concocted.
Politicians, academics, and many others have been panicking over automation at least since the days when the Luddites were smashing machines in protest over growing factory mechanization. With the growth of more sophisticated forms of robotics, artificial intelligence, and workplace automation today, there has been a resurgence of these fears and a renewed push for sweeping regulations to throw a wrench in the gears of progress. Mayor de Blasio is looking to outflank his fellow Democratic candidates for president with an anti-automation plan that may be the most extreme proposal of its kind. Continue reading →
The White House has announced a new effort to help prepare workers for the challenges they will face in the future. While it’s a well-intentioned effort, and one that I hope succeeds, I’m skeptical about it for a simple reason: It’s just really hard to plan for the workforce needs of the future and train people for jobs that we cannot possibly envision today.
Writing in the Wall Street Journal today, Ivanka Trump, senior adviser to the president, outlines the elements of new Executive Order that President Trump is issuing “to prioritize and expand workforce development so that we can create and fill American jobs with American workers.” Toward that end, the Administration plans on:
establishing a National Council for the American Worker, “composed of senior administration officials, who will develop a national strategy for training and retraining workers for high-demand industries.” This is meant to bring more efficiency and effectiveness to the “more than 40 workforce-training programs in more than a dozen agencies, and too many have produced meager results.”
“facilitat[ing] the use of data to connect American businesses, workers and educational institutions.” This is meant to help workers find “what jobs are available, where they are, what skills are required to fill them, and where the best training is available.”
launching a nationwide campaign “to highlight the growing vocational crisis and promote careers in the skilled trades, technology and manufacturing.”
The Administration also plans on creating a new advisory board of experts to address these issues, and the administration is also “asking companies and trade groups throughout the country to sign our new Pledge to America’s Workers—a commitment to invest in the current and future workforce.” They hope to encourage companies to take additional steps “to educate, train and reskill American students and workers.”
Perhaps some of these steps make sense, and perhaps a few will even help workers deal with the challenges of our more complex, fast-evolving, global economy. But I doubt it.
Continue reading →
If the techno-pessimists are right and robots are set to take all the jobs, shouldn’t employment in Amazon warehouses be plummeting right now? After all, Amazon’s sorting and fulfillment centers have been automated at a rapid pace, with robotic technologies now being integrated into almost every facet of the process. (Just watch the video below to see it all in action.)
And yet according to this
Wall Street Journal story by Laura Stevens, Amazon is looking to immediately fill 50,000 new jobs, which would mean that its U.S. workforce “would swell to around 300,000, compared with 30,000 in 2011.” According to the article, “Nearly 40,000 of the promised jobs are full-time at the company’s fulfillment centers, including some facilities that will open in the coming months. Most of the remainder are part-time positions available at Amazon’s more than 30 sorting centers.”
How can this be? Shouldn’t the robots have eaten all those jobs by now?
“The quickest way to find out who your enemies are is to try doing something new.” Thus begins Innovation and Its Enemies, an ambitious new book by Calestous Juma that will go down as one of the decade’s most important works on innovation policy.
Juma, who is affiliated with the Harvard Kennedy School’s Belfer Center for Science and International Affairs, has written a book that is rich in history and insights about the social and economic forces and factors that have, again and again, lead various groups and individuals to oppose technological change. Juma’s extensive research documents how “technological controversies often arise from tensions between the need to innovate and the pressure to maintain continuity, social order, and stability” (p. 5) and how this tension is “one of today’s biggest policy challenges.” (p. 8)
What Juma does better than any other technology policy scholar to date is that he identifies how these tensions develop out of deep-seated psychological biases that eventually come to affect attitudes about innovations among individuals, groups, corporations, and governments. “Public perceptions about the benefits and risks of new technologies cannot be fully understood without paying attention to intuitive aspects of human psychology,” he correctly observes. (p. 24) Continue reading →
In a terrific little essay on “Local Economic Revival and The Unpredictability of Technological Innovation,” Michael Mandel, the chief economic strategist at the Progressive Policy Institute, makes several important points regarding the fundamental folly for future forecasting efforts as it pertains to new innovations. He notes, for example:
There are plenty of candidates for the “next big thing,” ranging from the Internet of Things to additive manufacturing to artificial organ factories to autonomous cars to space commerce to Elon Musk’s hyperloop. Each of these has the potential to revolutionize an industry, and to create many thousands or even millions of jobs in the process–not just for the highly-educated, but a whole range of workers.
Yet the problem–and the beauty–is that technological innovation is fundamentally unpredictable, even at close range. Consider this: The two most important innovations of the past decade, economically, have been the smartphone and fracking. The smartphone transformed the way that we communicate and hydraulic fracturing has driven down the price of energy, not to mention shifting the geopolitical balance of power.
But few saw the smartphone and fracking revolutions coming, he notes. The pundits and the press were too focused on technologies of the past. Continue reading →
The Technology Liberation Front is the tech policy blog dedicated to keeping politicians' hands off the 'net and everything else related to technology. Learn more about TLF →
One of the keys to improving the standard of living for citizens is to make sure it isn’t too difficult for them to form new businesses or find good jobs. Unfortunately, some governments make that process harder than it should be. San Francisco serves as a prime example. An important new report just out from Arizona State University proves that.
The Technology Liberation Front is the tech policy blog dedicated to keeping politicians' hands off the 'net and everything else related to technology.
Running List of My Research on AI, ML & Robotics Policy
by Adam Thierer on July 29, 2022 · 0 comments
[last updated 4/3/2025 – Check my Medium page for latest posts]
This a running list of all the essays and reports I’ve already rolled out on the governance of artificial intelligence (AI), machine learning (ML), and robotics. Why have I decided to spend so much time on this issue? Because this will become the most important technological revolution of our lifetimes. Every segment of the economy will be touched in some fashion by AI, ML, robotics, and the power of computational science. It should be equally clear that public policy will be radically transformed along the way.
Eventually, all policy will involve AI policy and computational considerations. As AI “eats the world,” it eats the world of public policy along with it. The stakes here are profound for individuals, economies, and nations. As a result, AI policy will be the most important technology policy fight of the next decade, and perhaps next quarter century. Those who are passionate about the freedom to innovate need to prepare to meet the challenge as proposals to regulate AI proliferate.
There are many socio-technical concerns surrounding algorithmic systems that deserve serious consideration and appropriate governance steps to ensure that these systems are beneficial to society. However, there is an equally compelling public interest in ensuring that AI innovations are developed and made widely available to help improve human well-being across many dimensions. And that’s the case that I’ll be dedicating my life to making in coming years.
Here’s the list of what I’ve done so far. I will continue to update this as new material is released: Continue reading →