YouCongress - Expert and Citizen Preferences

Rightsholders must have the ability to opt out of having their work used for AI training and data crawling.

Restricting access to training data, whether through mandatory compensation, expanded opt-out rights, or onerous compliance requirements, can have the effect of restricting AI development itself.

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.

While respecting security, data protection and intellectual property rights, we encourage member economies to support open-source models and projects that employ strong security assurance through development and deployment.

As AI becomes a bigger part of everyday life, sound research and clear standards will be essential.

The draft implementing regulation should clearly differentiate between API access, which should be the preferred method for safety evaluations where access to documents and relevant information are deemed insufficient, and “further” means of access, ...

There's going to be a lot of new jobs created. You got to tell both parts of that story.

I think what I take from this is there's more questions than answers that we have, which really calls for more data and research to understand how AI and technology and innovation will impact our economies.

It's not going to create jobs for us realistically. I think it's going to actually subtract.

We reiterate bipartisan calls for strict enforcement of export controls and the closure of loopholes that allow AI chips and manufacturing equipment to reach Beijing.

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

Companies and governments should invest in shared open infrastructure for AI defense — datasets, evaluation frameworks, attack simulators and red-teaming tools — much as past generations invested in open source software.

If a Political Advertisement contains an image, video, or audio content that was substantially produced by generative artificial intelligence, the Political Advertisement must display, in legible writing, a disclosure stating “This content generated ...

We should ask ourselves an important question: does the problem require government regulation?

Congress must stop that cycle: abolish DHS, end federal data purchases that sidestep constitutional protections, hold corporations accountable, and protect states defending our people.

When I was in justice, my ultimate vision for that part of the criminal justice system was to achieve, by means of AI and technology, what Jeremy Bentham tried to do with his Panopticon. That is that the eyes of the state can be on you at all times. ...

Together, through strengthened cooperation and shared commitment, we can ensure that artificial intelligence becomes a powerful tool for sustainable development, innovation, and prosperity for all.

Transparency obligations will help people recognise when they are interacting with AI or when content has been generated or altered by AI, reducing the risk of deception and manipulation.

A media environment with more false and deceptive information is not a good thing for our society, but it is not the government's job to fix it. [...] Let's trust the American people, not the government, to decide for themselves how AI should be used...

Accountability must be engineered before deployment with the permission, oversight, audit trail need to be designed to build a time-based, not added after an incident.

Industry discourse often presents “Human-in-the-Loop” as the ultimate safeguard for AI deployment, yet this is a dangerous fallacy in high-velocity agentic systems.

The objective must be minimum practical compatibility across terminology, risk classification, data protection, cybersecurity, documentation, testing, and incident reporting, while allowing countries to sequence implementation according to their inst...

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 need to replace the onus back on platforms, companies, also governments, parliamentarians, and regulators to set up systems that really truly work safely while allowing for children's autonomy and growth and development.

Employment decisions still require accountable human judgment.

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.

You want to make them bear that risk. If they do, they’ll have all the incentives they need to reduce risk.

Existing legal principles, such as under tort and contract law, can be applied by our courts to assess and determine liability in appropriate cases. That being said, we share the concerns raised by the Member, and will continue to study this issue, i...

States should not be permitted to penalize AI developers for a third party’s unlawful conduct involving their models.