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.
In an earlier essay, I explored “Why the Future of AI Will Not Be Invented in Europe” and argued that, “there is no doubt that European competitiveness is suffering today and that excessive regulation plays a fairly significant role in causing it.” This essay summarizes some of the major academic literature that leads to that conclusion.
Since the mid-1990s, the European Union has been layering on highly restrictive policies governing online data collection and use. The most significant of the E.U.’s recent mandates is the 2018 General Data Protection Regulation (GDPR). This regulation established even more stringent rules related to the protection of personal data, the movement thereof, and limits what organizations can do with data. Data minimization is the major priority of this system, but there are many different types of restrictions and reporting requirements involved in the regulatory scheme. This policy framework also has ramifications for the future of next-generation technologies, especially artificial intelligence and machine learning systems, which rely on high-quality data sets to improve their efficacy.
Whether or not the E.U.’s complicated regulatory regime has actually resulted in truly meaningful privacy protections for European citizens relative to people in other countries remains open to debate. It is very difficult to measure and compare highly subjective values like privacy across countries and cultures. This makes benefit-cost analysis for privacy regulation extremely challenging — especially on the benefits side of the equation.
What is no longer up for debate, however, is the cost side of the equation and the question of what sort of consequences the GDPR has had on business formation, competition, investment, and so on. On these matters, standardized metrics exist and the economic evidence is abundantly clear: the GDPR has been a disaster for Europe. Continue reading →
I spent much of 2022 writing about the growing policy debate over artificial intelligence, machine learning, robotics, and the Computational Revolution more generally. Here are some of the major highlights of my work on this front.
POLICY DEFAULTS: “The Proper Governance Default for AI” – Which policy default should we choose for algorithmic technologies: The Precautionary Principle or The Proactionary Principle? This is the single most important issue in AI policy today.
For my latest column in The Hill, I explored the European Union’s (EU) endlessly expanding push to regulate all facets of the modern data economy. That now includes a new effort to regulate artificial intelligence (AI) using the same sort of top-down, heavy-handed, bureaucratic compliance regime that has stifled digital innovation on the continent over the past quarter century.
The European Commission (EC) is advancing a new Artificial Intelligence Act, which proposes banning some AI technologies while classifying many others under a heavily controlled “high-risk” category. A new bureaucracy, the European Artificial Intelligence Board, will be tasked with enforcing a wide variety of new rules, including “prior conformity assessments,” which are like permission slips for algorithmic innovators. Steep fines are also part of the plan. There’s a lengthy list of covered sectors and technologies, with many others that could be added in coming years. It’s no wonder, then, that the measure has been labelled the measure “the mother of all AI laws” and analysts have argued it will further burden innovation and investment in Europe.
As I noted in my new column, the consensus about Europe’s future on the emerging technology front is dismal to put it mildly.
The International Economy journal recently asked 11 experts from Europe and the U.S. where the EU currently stood in global tech competition. Responses were nearly unanimous and bluntly summarized by the symposium’s title: “The Biggest Loser.” Respondents said Europe is “lagging behind in the global tech race,” and “unlikely to become a global hub of innovation.” “The future will not be invented in Europe,” another analyst bluntly concluded. Continue reading →
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 →
For my latest regular column in The Hill, I took a look at the trade-offs associated with the EU’s AI Act. This is derived from a much longer chapter on European AI policy that is in my forthcoming book, and I also plan on turning it into a free-standing paper at some point soon. My oped begins as follows:
In the intensifying race for global competitiveness in artificial intelligence (AI), the United States, China and the European Union are vying to be the home of what could be the most important technological revolution of our lifetimes. AI governance proposals are also developing rapidly, with the EU proposing an aggressive regulatory approach to add to its already-onerous regulatory regime.
It would be imprudent for the U.S. to adopt Europe’s more top-down regulatory model, however, which already decimated digital technology innovation in the past and now will do the same for AI. The key to competitive advantage in AI will be openness to entrepreneurialism, investment and talent, plus a flexible governance framework to address risks.
Jump over to The Hill to read the entire thing. And down below you will find all my recent writing on AI and robotics. This will be my primary research focus in coming years.
On July 12, I participated in a Bipartisan Policy Center event on “Civil Society Perspectives on Artificial Intelligence Impact Assessments.” It was an hour-long discussion moderated by Michele Nellenbach, Vice President of Strategic Initiatives at the Bipartisan Policy Center, and which also featured Miriam Vogel, President and CEO of EqualAI. We discussed the ins and outs of algorithmic auditing and impact assessments for artificial intelligence. This is one of the hottest topics in the field of AI governance today, with proposals multiplying rapidly in academic and public policy circles. Several governments are already considering mandating AI auditing and impact assessments.
You can watch the entire discussion here, and down below I have included some of my key talking points from the session. I am currently finishing up my next book, which is on how to craft a flexible governance framework for AI and algorithmic technologies. It includes a lengthy chapter on this issue and I also plan on eventually publishing a stand-alone study on this topic.
On Thursday, June 9, it was my great pleasure to return to my first work office at the Adam Smith Institute in London and give a talk on the future of innovation policy and the governance of artificial intelligence. James Lawson, who is affiliated with the ASI and wrote a wonderful 2020 study on AI policy, introduced me and also offered some remarks. Among the issues discussed:
What sort of governance vision should govern the future of innovation generally and AI in particular: the “precautionary principle” or “permissionless innovation”?
Which AI sectors are witnessing the most exciting forms of innovation currently?
What are the fundamental policy fault lines in the AI policy debates today?
Will fears about disruption and automation lead to a new Luddite movement?
How can “soft law” and decentralized governance mechanism help us solve pressing policy concerns surrounding AI?
How did automation affect traditional jobs and sectors?
Will the European Union’s AI Act become a global model for regulation and will it have a “Brussels Effect” in terms of forcing innovators across the world to come into compliance with EU regulatory mandates?
How will global innovation arbitrage affect the efforts by governments in Europe and elsewhere to regulate AI innovation?
Can the common law help address AI risk? How is the UK common law system superior to the US legal system?
What do we mean by “existential risk” as it pertains to artificial intelligence?
I have a massive study in the works addressing all these issues. In the meantime, you can watch the video of my London talk here. And thanks again to my friends at the Adam Smith Institute for hosting!
An important new book launched this week in Europe on issues related to innovation policy and industrial policy. “Questioning the Entrepreneurial State: Status-quo, Pitfalls, and the Need for Credible Innovation Policy” (Springer, 2022) brings together more than 30 scholars who contribute unique chapters to this impressive volume. It was edited by Karl Wennberg of the Stockholm School of Economics and Christian Sandström of the Jönköping (Sweden) International Business School.
As the title of this book suggests, the authors are generally pushing back against the thesis found in Mariana Mazzucato’s book
The Entrepreneurial State (2011). That book, like many other books and essays written recently, lays out a romantic view of industrial policy that sees government as the prime mover of markets and innovation. Mazzucato calls for “a bolder vision for the State’s dynamic role in fostering economic growth” and innovation. She wants the state fully entrenched in technological investments and decision-making throughout the economy because she believes that is the best way to expand the innovative potential of a nation.
The essays in
Questioning the Entrepreneurial State offer a different perspective, rooted in the realities on the ground in Europe today. Taken together, the chapters tell a fairly consistent story: Despite the existence of many different industrial policy schemes at the continental and country level, Europe isn’t in very good shape on the tech and innovation front. The heavy-handed policies and volumes of regulations imposed by the European Union and its member states have played a role in that outcome. But these governments have simultaneously been pushing to promote innovation using a variety of technocratic policy levers and industrial policy schemes. Despite all those well-intentioned efforts, the EU has struggled to keep up with the US and China in most important modern tech sectors. Continue reading →
Calls for revitalizing American industrial policy have multiplied in recent years, with many pundits and policymakers suggesting that the U.S. should consider taking on Europe and China by emulating their approaches to technological development. The goal would be to have Washington formulate a set of strategic innovation goals and mobilize government planning and spending around them.
We continue on to argue that what most of these advocates miss is that:
China’s targeting efforts are often antithetical to both innovation and liberty, and involve plenty of red tape and bureaucracy. China has become a remarkably innovative country for many reasons, including its greater tolerance for risk-taking, even as the Chinese Communist Party continues to pump resources into strategic sectors. But most Chinese innovation is permissible only insomuch as it furthers the party’s objectives, a strategy the U.S. obviously wouldn’t want to copy.
We discuss the problems associated with some of those Chinese efforts as well as proposed US responses, like the recently released 756 page report from the National Security Commission on Artificial Intelligence. The report takes an everything-and-the-kitchen-sink approach to state direction for new AI-related efforts and spending. While that report says the government now must “drive change through top-down leadership” in order to “win the AI competition that is intensifying strategic competition with China,” we argue that there could be some serious pitfalls with top-down, high price tag approaches.
Jump over to the
Discourse site to read the full essay, as well as our previous essay, which asked, “Can European-Style Industrial Policies Create Tech Supremacy?” These two essay build on the research Connor and I have been doing on global artificial intelligence policies in the US, China, and the EU. In a much longer forthcoming white paper, we explore both the regulatory and industrial policy approaches for AI being adopted in the US, China, and the EU. Stay tuned for more.
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 →
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 →