YouCongress - Expert and Citizen Preferences

The Employer must maintain meaningful human oversight of all hiring decisions [and] must not make significant employment decisions based solely on automated processing without human review.

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.

Middle powers can successfully advance benefit-sharing agreements by leveraging the strategic interests of great powers, especially if they focus on gaining access to non-zero-sum resources, such as training data and software needed to deploy advance...

The answer isn't convergence for its own sake. We can push too hard on one thing. But if you have one standard, you could risk a lowest common denominator outcome that can cost us the innovation system as well and might have a risk on the national in...

We and others have therefore proposed requiring that third-party auditors verify the claims that AI companies make about their technology and evaluate AI systems and company practices against relevant standards.

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.

Robocalls with AI-generated voices are a widespread concern that the vast majority of older adults feel Congress needs to address.

Congress must establish a comprehensive federal AI safety framework with mandatory safety testing, independent audits, incident reporting requirements, and regulators empowered to remove AI systems when they pose risks.

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...

Guided by our National Security Principles, we approach national security deployments with safeguards, meaningful human judgment, and appropriate oversight, especially in high-stakes settings.

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.

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...

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...

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.