YouCongress - Expert and Citizen Preferences

The dialogue was established as a UN platform involving governments and all relevant stakeholders to support international cooperation and to share lessons learned and to discuss how AI can contribute to sustainable development and actually help clos...

Our data shows AI is reshaping work at the task level, creating new job categories even as it changes others. Whether a Fortune 500 company or small local business, this is a critical time for employers to focus on upskilling today’s workers and prep...

Structural labour market impacts may change as AI increasingly begins to reinvent workflows, not just augment them. The volume of investment in AI over the past years suggests that AI will likely move along the adoption curve much faster than previou...

Firms are hiring fewer junior workers because AI now handles the routine work that once trained future experts, quietly draining the pipeline that produces senior judgment.

《办法》明确，拟人化互动服务提供者不得向未成年人提供虚拟亲属、虚拟伴侣等虚拟亲密关系的服务。

Children have given us a clear diagnosis of the problem. They aren't asking us to block AI innovation, but it shouldn't be a case of cleaning up the mess after harm has happened either.

No company should deploy an AI system accessible to children without child-specific safety testing and independent oversight.

Recklessly pushing unsafe, experimental AI products on vulnerable people is predatory corporate behavior at its worst.

Age verification can be done well in a privacy-protective way, but it is not easy.

Competition, innovation, and speech options will be limited as a result of these moves.

Production agent systems need emergency controls. They also need scope. A useful kill switch should answer: stop what, for whom, at which boundary, for how long, and with what audit trail?

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.

If you are able to prove that I did an AI video of you robbing a bank when you were running for office, and I didn’t have a disclosure, I could be fined and face up to two years in jail.

We should ask ourselves an important question: does the problem require government regulation?

89% say final hiring decisions must remain human-led, and 74% say the same about cultural fit.

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.

That assumption is unrealistic in the world of AI-driven automation and open-source agent ecosystems.

Restricting access to a dual-use AI model is precautionary only if it delays harmful actors more than defenders. That condition varies across actors: a state agency or organized criminal group may obtain a substitute through theft, distillation, inte...

As policymakers and regulators work through questions of AI safety, the distinction that matters is not open versus closed, but transparent and secure versus opaque and unexamined. Open models and open tooling should be recognized as defensive assets...

Things are moving far too quickly for comfort in the capabilities and autonomy of AI agents, and our defenses likely aren’t keeping up.

Because the point of AI safety is not to slow the future down. It is to make sure the future remains human, aligned with our values, and advancing our interests.

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.

It's worth remembering what these systems actually do: they generate convincing language, not verified reality.

Transparency efforts like the TRAIN Act mark a first, but absolutely critical, step towards ensuring that the production workforce continues to benefit from how their labor is used in the marketplace.

Restricting access to training data, whether through mandatory compensation, expanded opt-out rights, or onerous compliance requirements, can have the effect of restricting AI development itself.

People do not want AI making silent decisions. They want transparency. What does the agent recommend? What does it execute? Where does human approval sit? That transparency builds trust quickly.

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

As state lawmakers, we take seriously our responsibility to safeguard our constituents from AI harms to children, workers, artists and creators, families, and consumers. GAAIA’s broad preemption provisions would freeze a sweeping set of state laws an...

The FRONTIER Act is a targeted bill with clear, uniform transparency, and safety standards, instead of a fifty-state patchwork. I'm glad to support this bipartisan effort so that Congress acts before this technology outruns us.

Under the existing laws on both sides of the Atlantic, if an AI agent or any AI-powered app escapes its sandbox and causes damage to a third party, the operator of the AI model will likely be liable for all the damage caused. Excuses like “AI did it”...

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.

By combining explainability infrastructure with continuous monitoring and human oversight mechanisms, the governance control stack provides a practical blueprint for achieving hardened AI governance in complex enterprise environments.

We have a very natural instinct to say: we want as much interpretability as possible. One of the sci-fi worry cases is that agents start speaking in languages to each other that we don't understand. [...] I bet there are ways to define boundaries tha...

[...] principles requiring that AI be explicable are misguided. We should be deciding which decisions require explanations. Automation is still an option;