[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 →
If there are two general principles that unify my recent work on technology policy and innovation issues, they would be as follows. To the maximum extent possible:
- We should avoid preemptive and precautionary-based regulatory regimes for new innovation. Instead, our policy default should be innovation allowed (or “permissionless innovation”) and innovators should be considered “innocent until proven guilty” (unless, that is, a thorough benefit-cost analysis has been conducted that documents the clear need for immediate preemptive restraints).
- We should avoid rigid, “top-down” technology-specific or sector-specific regulatory regimes and/or regulatory agencies and instead opt for a broader array of more flexible, “bottom-up” solutions (education, empowerment, social norms, self-regulation, public pressure, etc.) as well as reliance on existing legal systems and standards (torts, product liability, contracts, property rights, etc.).
I was very interested, therefore, to come across two new essays that make opposing arguments and proposals. The first is this recent
Slate oped by John Frank Weaver, “We Need to Pass Legislation on Artificial Intelligence Early and Often.” The second is Ryan Calo’s new Brookings Institution white paper, “The Case for a Federal Robotics Commission.”
Weaver argues that new robot technology “is going to develop fast, almost certainly faster than we can legislate it. That’s why we need to get ahead of it now.” In order to preemptively address concerns about new technologies such as driverless cars or commercial drones, “we need to legislate early and often,” Weaver says. Stated differently, Weaver is proposing “precautionary principle”-based regulation of these technologies. The precautionary principle generally refers to the belief that new innovations should be curtailed or disallowed until their developers can prove that they will not cause any harms to individuals, groups, specific entities, cultural norms, or various existing laws, norms, or traditions.
Calo argues that we need “the establishment of a new federal agency to deal with the novel experiences and harms robotics enables” since there exists “distinct but related challenges that would benefit from being examined and treated together.” These issues, he says, “require special expertise to understand and may require investment and coordination to thrive.
I’ll address both Weaver and Calo’s proposals in turn. Continue reading →
I recently finished reading Free the Market: Why Only Government Can Keep the Marketplace Competitive, a new book by noted antitrust agitator Gary L. Reback. Unsurprisingly, Reback, who led the antitrust jihad against Microsoft during the 1990s, has written a book that reads like an extended love letter to antitrust law. This man loves antitrust the way teenage girls love the Jonas Brothers — gushing, teary-eyed, ‘I-would-just-die-for-you’ sort of love. In Reback’s world, antitrust seemingly has no costs, no downsides, no trade-offs. It is our salvation and he serves as its high prophet. Everything good that happened in the world of high-tech over the past few decades? Oh, you can thank Almighty Antitrust for that. Anything bad that happened? Well, then, clearly there just wasn’t enough antitrust enforcement! That’s this book in a nutshell.
Think I’m kidding? How about this gem of quote from pg. 247: “Antitrust enforcement spawned Silicon Valley’s software industry as well.” Wow, who knew! Of course, that’s utter poppycock and should be somewhat insulting to the many entrepreneurial men and women in the high-tech world who risked everything in an attempt to build a better mousetrap. In Reback’s view of things, however, none of those mousetraps would have ever gotten built without antitrust there to supposedly shelter them from wicked “monopolists” (read: any large company) already operating in the marketplace. I’m sure many in Silicon Valley will also be surprised to hear Reback’s assertion that, “On closer examination, the Valley looks like one big public welfare project.” (p. 54) Ah yes, the old myth that government gave us the Net we know and love today. Please. Like many others, Reback spins a revisionist history of how early ARPANET involvement and seed money somehow made the Internet great when, in reality, the Net was stuck in the digital dark ages until it was finally allowed to be commercialized in 1992.
What irks me most about this book, however, is Reback’s perpetuation of the myth that antitrust is somehow not a form of economic regulation. I hear this tired old argument trotted out time and time again, even by many conservatives. Reback says, for example, that “Antitrust sets the rules of the road, so to speak, but doesn’t tell people where to drive.” By contrast, he argues, “Advocates of regulation want[] continuing government oversight and rule making to produce what would be the beneficial results of a free market… Neither approach works all the time, and decided between them remains difficult.” (p. 19) Again, this “choice” is largely a fiction since, for many industries, we end up getting both! 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.
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 →