YouCongress - Expert and Citizen Preferences

They call for international red lines to prevent unacceptable AI risks, including prohibiting superintelligence development, until there is broad scientific consensus on how it can be done safely and with strong public buy-in.

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.

I hope that, when the Minister responds, she will confirm that the Government have no plan to suppress the development of ASI. Inquiry and discovery are deeply ingrained in the human psyche and the AI revolution we are living through should certainly...

In the later stage, AI should not be used as a black-box tool to infer personality, potential, or future performance, nor should it make independent hiring decisions.

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.

OpenAI supports the Illinois legislature’s efforts to advance frontier AI safety through SB 315. As AI systems become more powerful, clear rules around safety, transparency, incident reporting, and accountability are increasingly important.

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.

Building genuine European cloud and AI sovereignty is overdue, and giving our providers a fair seat at the table in strategic public tenders is the right instinct.

Europe should prioritize “code over concrete.”

In the “unprecedented” scenario, the company wrote that more permanent support will be necessary, and it listed several ways to generate and share revenue broadly, including basic income, sovereign wealth models and equity-sharing mechanisms.

Rather than doing something immediately, it would be better first to have academic research and examination, and then apply the scholarly findings to reality. It is an issue that, in the later legislative process, must win public consensus and fully ...

Going one step further from the performance bonus demands and strikes by vested-interest unions at major companies such as SK hynix and Samsung Electronics, the Blue House policy chief is now arguing for a 'corporate profit distribution system' that ...

We recommend an international deal to avoid a dangerous race to superintelligence.

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 ...

Currently, AI is a game of scale that is dominated by hegemons and hyperscalers. This poses a significant security and economic challenge as countries around the globe risk becoming subordinate or reliant on them.

However, there is a level of AI beneath that, at which its developer attains permanently unassailable strategic, commercial and military advantage—the “winner takes all” model.

Because effective tax rates on labor substantially exceed those on capital, a shift in national income from labor toward capital means the current tax system captures a shrinking share of a growing economy, even as the cost of sustained income suppor...

Raising the cost of all those innovation- and productivity-enhancing uses of computing would unequivocally harm American productivity, innovation, and global competitiveness. Knowingly imposing these costs on ourselves because of concerns about certa...

Project Tapestry is a global open consortium to build frontier-capability AI through distributed model development while allowing participating nations and institutions to retain control over their own data, models, and deployment.

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...

This initiative focuses on developing open tools and techniques to safeguard the AI stack—from open weight models to agent harnesses—to help drive safety, transparency, and broad scientific scrutiny. Open source models and frameworks act as vital def...

Protection against retaliation, as in every whistleblowing channel, must be robust and genuinely enforced. Employees should feel secure to report reasonable suspicion of AI-related misconduct, even when there is technical complexity and uncertainty, ...

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...

Publish and adhere to an incident-reporting time window for public disclosures. The developer may make a preliminary disclosure within the window and follow up with additional information thereafter, provided the initial disclosure indicates when fol...

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.

AI infrastructure is not valuable because it is large. It is valuable because of what it makes possible: more capable intelligence, available to more people, at a lower cost. That is how I think about abundance. It is both embedded in our mission—ens...

AI could make goods and services cheaper than ever, raising hopes for a new age of abundance where scarcity plays a smaller role in human life.

It is often suggested that the advent of powerful AI will create abundance and that it can thereby contribute to securing social harmony. This paper draws on Hirsch’s study of different kinds of limits to growth to show that this is false.

Design for human oversight from Day 1: Don't bolt on governance after deployment. Build approval workflows, block states, and audit trails directly into your architecture.

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.