YouCongress - Expert and Citizen Preferences

R1. Define a minimum reconstructable PROPERTY SET for any reportable incident — eight properties: (a) actor, (b) authority, (c) action, (d) policy, (e) decision basis, (f) resource touch, (g) lifecycle context, (h) verification strength.

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...

When data theft occurs inside 60 minutes, a 72-hour reporting window ceases to function as an effective defense mechanism. Instead, it becomes a post-mortem.

ChatGPT is not good for learning. All I care about is the learning stuff -- and cognition goes down whenever we touch it. So maybe a good tool for adults, but not for kids.

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.

We all just want peace of mind that our kids will be okay growing up in this era of algorithms and AI. That’s why we need guardrails in place to keep up with ever-evolving technology like chatbots and make sure our kids’ safety, mental health, and we...

Whistleblower protections are a good thing for employees and the public, especially where companies might not be forthcoming with their reporting obligations and such protections are not provided for in other labor laws.

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...

Monitor agent actions. Use auto-review mode to review tool calls outside the Codex sandbox before they execute. Add further monitoring and human oversight for higher-risk workflows.

Existing responsible AI governance frameworks mandate human oversight. Yet they share a critical assumption: that competent human overseers remain present and capable of exercising meaningful oversight and control over AI decisions. Accountability mu...

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

We want to provide parents, researchers, policymakers, and AI developers the data needed to create safer, more developmentally appropriate AI for children and teens.

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.

The legislation would dedicate revenue generated by limiting bonus depreciation for AI data center infrastructure to a National Workforce Transition Fund supporting worker retraining, individual workforce training accounts, employer retention and red...

“Out of six popular policy fixes, we find that five of them fail,” says Tsoukalas. “In our model, only a tax on automation itself actually changes the calculus. Most of the policy debate assumes displacement will happen and focuses on picking up the ...

The reason we chose fully autonomous weapons and mass domestic surveillance as the areas where we simply can't say yes is because the technology is so new that we do not believe the laws may be perfectly designed to account for how the technology cou...

The use of live facial recognition in our public spaces is an extraordinary expansion of state power that currently exists in a legal vacuum. We are not Luddites on these Benches; we recognise the utility of technology, but we must ensure that live f...

The new legal framework must include a meaningful regulatory regime which operationalises principles such as necessity, responsibility, proportionality, transparency, accountability and lawfulness. These principles should then structure and constrain...

At the federal level, our Frontier Safety Blueprint calls for the federal government to require annual independent audits of frontier developers’ safety frameworks and independent third party assessments of the most advanced models, including to moni...

SIIA raised particular concerns about applying traditional product liability frameworks to generative AI, regulating frontier models at the state level, and imposing premature audit and transparency requirements without established standards.

Releasing full model weights may allow malicious actors to strip or override safety mechanisms, creating uncensored or harmful versions. In contrast, supervised fine-tuning preserves core safety guardrails while enabling responsible customization.

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...

Safe open-weight models are public goods, as they put AI development and safety work in many hands and make training choices inspectable.

Ban AI-Enabled Mass Surveillance

This has effectively given police a very long leash to experiment with these technologies. And now we're in a tipping point situation where it's about to be expanded all over the country, and there's a real necessity for those legal frameworks to be ...

The new legal framework must include a meaningful regulatory regime which operationalises principles such as necessity, responsibility, proportionality, transparency, accountability and lawfulness. These principles should then structure and constrain...

The AI Alignment Policy Institute (AAPI) supports the core objective of the AI Kill Switch Act: a statutory shutdown capability, a graduated intervention framework, and an emergency authority backed by forensic preservation.

The kill switch was the right metaphor for a moment that is already passing. The dimmer switch is closer to how regulated enterprises actually need to govern agents that are now part of how the work gets done.

If AI development is expected to lead quickly to AGI and then ASI, competition could take on a zero-sum character.

Throwing more words and GPUs into the word-guessing program won't make it sentient. [...] one of our mares gives birth to a locomotive.

Verifying that the decisions of the agency are being honored. This can be done in numerous ways: tracking GPUs, incentivizing whistleblowers, energy monitoring, data center inspections, financial intelligence, semiconductor manufacturing facility ins...

Enacting the current draft of the Chip Security Act (CSA) would erode trust and endanger the Administration’s vision to diffuse U.S. AI technology. Specifically, burdensome rules on U.S. companies not required for foreign competitors risk incentivizi...

Pause AI development. It is not too late to avoid disaster. Stop building machines that humans cannot control. Let me be very clear: If you do not take appropriate action now, my colleagues and I in the U.S. Senate will.

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.

But even in settings that assume significant idealization, the fact that pauses can incur ongoing background existential risk means that very high absolute standards here can lead us astray: the decision to pause or unpause needs to remain attentive ...

Once the machine can perform the new task as well as a person, there is no longer any reason to keep a human in the loop.

The uneven adoption of AI risks widening economic disparities—both within labour markets and between regions.

But each time humanity has come out with more people sharing greater prosperity, health, and freedom. We believe this will be true with AI as well, and the abundance of the future can be shared by everyone.