The report uses Nick Bostrom’s “vulnerable world hypothesis” as a launching point and discusses how his five specific control mechanisms for addressing AI risks have started having real-world influence with extreme regulatory proposals now being floated. My report also does a deep dive into the debate about a proposed global ban on “killer robots” and looks at how past treaties and arms control efforts might apply, or what we can learn from them about what won’t work.
I argue that proposals to impose global controls on AI through a worldwide regulatory authority are both unwise and unlikely to work. Calls for bans or “pauses” on AI developments are largely futile because many nations will not agree to them. As with nuclear and chemical weapons, treaties, accords, sanctions and other multilateral agreements can help address some threats of malicious uses of AI or robotics. But trade-offs are inevitable, and addressing one type of existential risk sometimes can give rise to other risks.
A culture of AI safety by design is critical. But there is an equally compelling interest in ensuring algorithmic innovations are developed and made widely available to society. The most effective solution to technological problems usually lies in more innovation, not less. Many other multistakeholder and multilateral efforts can help AI safety. Final third of my study is devoted to a discussion of that. Continuous communication, coordination, and cooperation—among countries, developers, professional bodies and other stakeholders—will be essential. Continue reading →
I feel silly saying that, even though I really shouldn’t. Video games are now fully intertwined with the fabric of modern life and, by this point, there have been a couple of generations of adults who, like me, have played them actively over the past few decades. Somehow, despite the seemingly endless moral panics about video games, we came out alright. But that likely will not stop some critics from finding new things to panic over.
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 →