YouCongress - Expert and Citizen Preferences

Pretraining has already produced models with strong semantic competence: they can understand natural language, extract facts, draft arguments, and explain complex materials.

The results show that LLMs only have a modest understanding of the formal semantics of HMSCs (ca. 52% overall accuracy).

In essence, the number of people necessary to make large corporations function is going to be dramatically reduced.

This is more than a learning curve. It’s a structural challenge for individuals, employers and entire industries — one that risks widening inequalities if left unaddressed.

The idea that if you don’t join the frontier labs, you’ll fall into the ‘permanent underclass’ is utterly ridiculous.

We conclude that effective use of agentic AI requires both domain expertise to frame questions and evaluate outputs, and coding literacy to guide the AI's approach.

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

FDD Action supports the MATCH Act, which focuses on strengthening and aligning export controls on semiconductor manufacturing equipment. These tools are essential to protecting U.S. technological leadership and national security. By closing gaps and ...

China consistently opposes any practice of overstretching the concept of national security and abusing export controls.

Congress could consider passing legislation to protect security whistleblowers in the AI industry from retaliation by AI companies.

Connecticut already has strong whistleblower laws that protect employees from retaliation. [...] creating a separate, AI-specific whistleblower regime could lead to confusion, duplication, and unintended consequences for employers operating in highly...

There should be no licenses granted for advanced AI chips to China, period. To that end, the AI Overwatch Act offers a sound framework: mandatory congressional notification before any such export is approved, verifiable safeguards preventing military...

They would have to limit everything.

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...

We acknowledge it is worth monitoring the security implications of open source models that may reach frontier capabilities. But for the most part, the transparency that is inherent to open source makes them safer and more secure, because more enginee...

AI companions — including those products that allow or even cater to younger users — should not be used by anyone under the age of 18 years.

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.

It is insufficient to leave monitoring solely to individual business operators; the development of public infrastructure for cross-industry sharing and analysis of accident and near-miss information should be considered. Coordination with internation...

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...

Corporate power extends beyond lobbying, manifesting as infrastructural and platform power as governments and societies become increasingly dependent on these critical functions.

An international agreement to limit AI development could be crucial to mitigate risks from AI.

A one-size-fits-all approach to AI governance will not be effective. We all face different risks, priorities, levels of digital development, and regulatory environments. Effective governance requires shared principles that can be implemented flexibly...

Federal preemption of state AI laws should proceed on a narrow, issue-by-issue basis. Broad preemption of a vaguely defined and poorly understood category of state laws would, in all likelihood, be a disaster, for both political and policy reasons.

Companies’ AI models earn federal preemption — a safe harbor from liability under state law for a specific category of risk — if they meet or exceed CAISI’s determination of industry best practices for cybersecurity, human safety, privacy and the lik...

AI is a decision-support system, not a decision-maker.

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.

Pre-release testing and pre-deployment testing are important, but that type of evidence needs to continue via continual monitoring of the systems post-deployment, incident reporting, and observing behaviour in the wild rather than just in the laborat...

Timelines for incident reports are often set with well-intentioned urgency, but if they implicitly assume that root-cause analysis or full impact assessment has already been conducted, they will either produce premature and unreliable reports or plac...

I appreciate the intent behind the amendments and the shadow Minister’s position of understanding but not supporting them, which I share.

Every example of future scenario planning I have read identifies growing existential risk.

Much has been said about whether AI poses an ultimate existential threat to humanity. The more immediate existential challenge may be whether technologies that simulate relationships weaken our capacity for the relationships that foster our own human...

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.