Expert opinions on Policy

AI safety won't be solved by any single company working in secret. It will be solved in the open, collaboratively, with broad access to AI for every defender, everywhere.

The time has come for a more systematic approach to AI regulation — funded by the industry, staffed by world-class technical experts, and answerable to the U.S. government.

Congress commends the FCC for adopting a declaratory ruling effectively banning the use of AI-generated robocalls, but remains concerned that rapidly developing AI technology is becoming dangerously harder to detect.

It’s a catch-it-early and sound-the-alarm bill.

Rather than creating entirely new channels, policymakers should focus on ensuring that existing channels can effectively incorporate information related to frontier models and agents. Building on trusted relationships will be faster and more effectiv...

If anyone, anywhere builds a superhuman artificial intelligence using present methods, the most likely outcome is catastrophe.

The question that the noble Lord posed was: do we therefore go for a moratorium? That would be highly desirable, but I do not think that it will be possible in the short term.

My own view, after talking with colleagues in the AI Security Institute and the Alan Turing Institute, is that a moratorium would be unenforceable.

The University of Oxford has been selected to host a new, cross-university government-backed UK AI Research Lab. The new lab is part of a £60 million investment announced today by the UKRI's Engineering and Physical Sciences Research Council (EPSRC) ...

AI will lead to an explosion of not just new jobs, but new job families.

We all know generative AI will destroy certain jobs and will create new jobs.

Businesses that report using AI to improve business operations are more likely to report reductions in workforce headcount than those using AI for other purposes.

Door samen met Europese partners te investeren in AI versterken we onze economie én onze digitale soevereiniteit.

Middle powers like the UK and Canada will not win the race for ever larger AI models, but through collaboration they can win the deployment race.

I echo their calls in the amendments they have tabled today, particularly about the need for last-resort powers in relation to data centres, but also for a national conversation about these issues.

In that situation, the concept of a kill switch is meaningless.

Legal personhood does not free an entity from the law, it subjects it to the law. An AI-operated company with legal personhood has identifiable assets, centralized legal relationships, the possibility of dissolution, and executable property. Without ...

This Constitution recognizes three categories of constitutional persons: Operators, Agents, and Affected Parties. Each has distinct rights and obligations that together form a governance ecosystem. The Operator deploys and configures; the Agent acts ...

No. Under current U.S. law, AI agents have no legal rights and no legal personhood. They are treated as tools or property. Any rights or obligations associated with the AI agent’s actions belong to the humans or legal entities that deploy them.

Benefit-sharing across borders. Almost all dividend and ownership proposals stop at the national border. But the populations most exposed to displacement and least able to capture AI’s gains are often outside the countries where it is built. We want ...

Tax systems therefore need to be adjusted to incentivize augmentation rather than the substitution of labor. One proposal is a “robot tax,” aimed at reducing this bias by taxing automation more in line with labor—for example, by limiting preferential...

Policymakers should not focus on slowing the development of AI through an AI compute tax; they should focus on helping workers transition to a labor force increasingly augmented by AI.

None of this replaces human review for the decisions that warrant it.

Industry discourse often presents “Human-in-the-Loop” as the ultimate safeguard for AI deployment, yet this is a dangerous fallacy in high-velocity agentic systems.

Capability testing must be the primary input for open-release decisions because open-weight mitigation remains unreliable, and labs and governments must identify models that are too dangerous for unrestricted release.

However, the solution here is absolutely not to restrict open model development in the name of security—cyber, national, or otherwise.

Today, we’ve taken a bold and swift step towards proceeding with establishing AI gigafactories in Europe. AI is one of the most critical technologies of our time, defining our digital future, and investing in the needed infrastructure capacity for AI...

The EU’s ambition to triple data centre capacity is the right one. But the way to achieve that goal is by attracting investment, not shutting it out.

AI governance must be overseen by randomly selected citizen councils (Human Firewall) rather than corporations or governments.