YouCongress - Expert and Citizen Preferences

Monitoring without intervention is a spectator sport.

If you’re relying on a ‘kill switch’ to stop an AI agent, you’ve already made a fundamental mistake. A properly governed agent is simply never handed the task, so there is nothing to kill.

Only together — those who design systems and those affected by them, richer countries and poorer ones, institutions and individuals, power centres and peripheries — will we be able to build a future, not for a privileged few, but for the entire human...

Frontier labs can put classifiers in front of these capabilities, but open-weight models a few months behind cannot, and the copies already downloaded never will.

It is unquestionably both. We can use the frontier models but also open weight models to prove a solution which gives defenders powerful capabilities and on their terms.

Publishing source code does not create those weaknesses, but it can modestly reduce attacker uncertainty and speed up analysis (an effect that may increase with AI assistance), especially where maintenance is weak and fixes are slow.

Effective AI governance, safety assessment, safety testing and assurance frameworks help reduce risk and provide greater confidence for developers, customers and regulators.

Our view is that AI is a general-purpose technology with a wide range of applications, and also that regulators understand well the sectors they are regulating. They understand the risks that are present and understand, as many noble Lords have raise...

Liability, oversight and incident-reporting frameworks need to account for attribution and operational control, to ensure that we, as a society, do not build and deploy systems with a potential for catastrophic harm.

Existing legal principles, such as under tort and contract law, can be applied by our courts to assess and determine liability in appropriate cases. That being said, we share the concerns raised by the Member, and will continue to study this issue, i...

States should not be permitted to penalize AI developers for a third party’s unlawful conduct involving their models.

We request that the U.S. government support an international effort to develop the technical and governance tools needed to deliberately pace the frontier of automated AI development.

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.

The conclusion is sobering: a global stop to the development of superintelligent AI seems impossible.

Science informs, but humans decide. Our goal is to make human control a technical reality, not a slogan. And that requires meaningful human oversight in every high-stakes decision — in justice, healthcare, credit.

Agentic AI requires a different model, one where leadership defines direction, systems enforce boundaries, and accountability is explicit.

Understanding is not a property that an isolated system possesses. It is a capacity enacted within a field of co-constructed meaning. [...] Under such a criterion, AI systems already exhibit non-trivial forms of this contribution.

We mistake a simulation for the thing simulated.

Worker voice belongs at the center of how AI gets implemented.

If we keep barreling forward, we risk a lot… up to human extinction.

So when people predict a high degree of existential risk from AGI, I don’t actually think “arguing back” on their chosen terms is the correct response. Radical agnosticism is the correct response, where all specific scenarios are pretty unlikely. Non...

The real challenge isn’t stopping an AI apocalypse — it’s crafting smart, sector-specific policies that keep technology aligned with human values. To avoid being a victim of AI, humans can, and should, put up focused guardrails.

Documentation and institutional transparency mechanisms, together with information-sharing practices, facilitate external scrutiny and support efforts to manage risks associated with general-purpose AI.

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...

Generative AI can be used to create highly realistic content that is difficult or impossible to distinguish from authentic material, including deepfakes. We are not interested in being deceived, and we are not interested in our children being deceive...

A media environment with more false and deceptive information is not a good thing for our society, but it is not the government's job to fix it. [...] Let's trust the American people, not the government, to decide for themselves how AI should be used...

The chart below shows the weekly ADP employment data, and there is zero evidence of job losses because of AI. [...] cheaper technology is creating more demand and more jobs.

We’ve looked and, honestly, we haven’t seen it. [...] It doesn’t mean it’s not going to happen in the future, but not yet.

AI is therefore replacing existing workers, while simultaneously shutting them out from moving to other industries.

High-impact or high-risk decisions can sometimes demand human involvement. Introducing a human-in-the-loop layer ensures that critical actions are properly reviewed and validated.

Hence, under the overarching ambit of the National AI Council and together with tripartite partners, we are studying the use of AI tools by businesses and its impact on employment, before deciding the most appropriate approach for Singapore.

The requirement of human review is one of the most burdensome compliance elements for employers, particularly in comparison to states that allow alternative processes rather than human review.

Decisions involving the use of force, escalation, or nuclear command-and-control must remain subject to meaningful human control and accountable command.

The Government strongly believes that there is a need to maintain meaningful human control of all weapons systems, including any systems that may be developed. Our position is that, for such systems to comply with international humanitarian law, cont...

Closing it requires redesigning Army doctrine, organizations, and training to integrate LAWS into targeting under lawful human-on-the-loop control.