YouCongress - Expert and Citizen Preferences

It proposes institutionally-distributed algorithmic governance (IDAG): an architecture in which separate, deliberately heterogeneous algorithmic systems—each with its own data, objective, and operator—are distributed across independent institutions a...

Over the long term, the labor market would adjust in ways that create new jobs and augment the productivity of existing jobs, boosting real wages.

Labour market economists have long demonstrated that the amount of work in the economy is not fixed, and that labour market adjustments can create more jobs. Yet this ‘lump of labour fallacy’ is still applied to debates about technological innovation...

The only meaningful guardrails around workplace AI are happening at the bargaining table, where workers are showing up and demanding protections.

This is why laws, treaties and other collective-action mechanisms may become necessary.

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...

UN organizations must play a frontline role in drawing up safety and security standards that are common to us, then disseminating them among states. We must also collectively tackle the issue of independent evaluation of AI models before their rollou...

The time has come for a more systematic approach to AI regulation — funded by the industry, staffed by world-class technical experts, and answerable to the U.S. government.

AI safety testing — automating the safety testing of AI software like chatbots to ensure they meet the government’s requirements prior to deployment.

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...

USIAIS publishes research, advises organizations, and certifies AI systems against published safety standards.

This bill contains a critically flawed mandatory third-party audit requirement that creates an impossible compliance obligation on an unrealistic timeline.

Managing and understanding these risks effectively requires appropriate information flows across the ecosystem, ensuring timely notification of actionable information to the right sets of actors.

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...

We request that the U.S. government support an international effort to develop the technical and governance tools needed to deliberately pace the frontier of automated AI development.”

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.

Frontier labs can put classifiers in front of these capabilities, but open-weight models a few months behind cannot, and the copies already downloaded never will.

It is unquestionably both. We can use the frontier models but also open weight models to prove a solution which gives defenders powerful capabilities and on their terms.

China’s open models are no more dangerous than any other open source software a company may use.

We could lower taxation on human workers and raise taxation on capital investments like AI. A shift away from taxing people to taxing capital will recognize the important role that humans play in generating the data on which artificial intelligence r...

The proposals differ in detail, but they cite the same story: Labor’s share of national income has declined, and AI is accelerating workers’ losses by shifting more economic activity to capital. The tax code makes all of this worse by undertaxing cap...

Competition policy also has a role to play in ensuring that the gains from the technology are diffused and shared widely rather than becoming unduly concentrated among a small number of firms.

An AI sovereign wealth fund would require a significant and continuous share in the profits of those companies that train their models here. That should include the value derived wherever the models trained here are used.

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 ...

The better use of any surplus generated by AI adoption is to fund accessible and effective upskilling that amplifies Singaporeans’ value.

SB 315 is the strongest AI safety law in the country. It builds on the frameworks California and New York have already passed and goes one step further by requiring independent audits, so the public doesn't have to take AI companies at their word. Il...

The Artificial Intelligence Safety Measures Act establishes a framework requiring developers of the largest advanced AI systems to publicly disclose safety practices, report significant safety incidents, and maintain robust compliance processes. The ...

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...

Young people are increasingly worried about the implication of AI on their job opportunities. These instances emphasize the urgency of broader discussion on how to build a social consensus around those challenges at a speed commensurate with the spee...

AI may instead exacerbate inequality, eliminating some lower- and middle-income jobs while boosting the income and wealth of higher-income individuals. Since we don't know which of these futures will come about, it is useful to use potential scenario...

Great technological transitions only result in meaningful social progress when they are shaped actively and decisively. The Industrial Revolution – often casually invoked to describe the possibilities of AI – saw fifty years of wage stagnation while ...