130 stories tagged Policy · page 2 of 6
In a wide-ranging interview with Axios, Nvidia CEO Jensen Huang dismissed fears of catastrophic AI risks and massive job losses, arguing that open models and expanding hardware infrastructure will drive unprecedented economic growth.
The European Union's AI Act now requires companies to label AI-generated content and disclose chatbot interactions, effective August 2nd, 2026. The rules aim to help users identify deepfakes and synthetic media online.
The European Union's AI Act is now enforceable, requiring developers of high-risk AI models to conduct risk assessments, ensure data governance, and submit to third-party certification or face fines of up to 7% of global turnover.
A federal judge ruled the Trump administration lacks sufficient evidence to justify labeling Anthropic a supply-chain risk, casting doubt on the government's 2025 ban of its AI technology.
A judge rejected xAI's request to block a Minnesota law banning apps that create nude images of people without consent. The law will take effect in September.
OpenAI has published a detailed overview of its safety, security, transparency, and provenance practices to align with the EU AI Act. The company is actively working to ensure its AI models meet European standards for responsible AI governance.
Nvidia CEO Jensen Huang launched an initiative championing open-weight AI models, prompting a sharp response from Anthropic's Dario Amodei as top frontier labs join forces to push for federal review processes in Washington.
UC Berkeley researchers introduced Eco3S, a framework that uses large language model-powered AI agents to simulate complex socio-economic systems, automate simulation workflows, and enable flexible counterfactual policy testing.
Employees from OpenAI, Anthropic, Google, Meta, Microsoft, Mistral, and other leading AI labs have signed a statement asking the US government to slow down frontier AI development or accelerate global coordinated governance to manage risks.
Nvidia, Mistral, and other AI companies are urging US policymakers to avoid broad restrictions on open-weight AI models, arguing such limits could stifle innovation and cede ground to China.
More than 100 startup founders signed an open letter to President Trump, warning that restricting access to Chinese open-weight AI models would stifle U.S. innovation and harm small tech companies that rely on these freely available resources.
Nearly 200 US utility companies and data center developers have signed President Trump's "rate payer protection pledge" to prevent AI's growing energy demands from driving up consumer electricity bills. The initiative aims to manage the power needs of AI data centers without passing costs to households.
Despite U.S. government restrictions aimed at containing China's AI influence, Silicon Valley companies continue to rely on Chinese AI tools like Moonshot AI's Kimi, creating a tension between national security and technological progress.
Bloomberg reports that AI-driven automation may reduce income tax revenue as fewer people pay taxes, potentially destabilizing economies. Governments will need to adapt their tax policies to address this shift.
The Trump administration is requiring frontier AI labs like Anthropic and OpenAI to restrict access to their most advanced models, citing national security. Critics warn the policy could slow innovation and limit access for small businesses and researchers.
New York Governor Kathy Hochul revealed on Bloomberg's Odd Lots podcast that her team is using AI to analyze every state rule, regulation, and policy to identify outdated or ineffective ones. The goal is to streamline government operations, but the initiative also raises questions about privacy and bias in AI decision-making.
The EU has mandated that Google must share its search data and open up AI features on Android under the Digital Markets Act, aiming to increase competition and give users more choices in the AI market.
OpenAI outlines a 'reverse federalism' approach to AI governance, where state-level laws help build a national framework for safe, democratic AI. This strategy aims to make regulations more responsive to local needs while fostering innovation.
A joint report from Nobel Prize-winning economists and top tech executives warns that AI is poised to automate jobs in creative and knowledge sectors, urging proactive policies such as universal basic income and retraining programs to prevent widespread economic disruption.
New York has become the first state to temporarily stop approving new large data centers, as Governor Kathy Hochul warns that the AI-driven building boom must not come at the expense of higher electricity costs, water supplies, or local control.
Anthropic is lobbying individual U.S. states to pass stricter AI regulations, aiming to create a patchwork of state-level rules that could set national precedents for transparency, accountability, and safety in AI development.
Demis Hassabis, CEO of Google DeepMind, proposes a global AI watchdog with the power to halt dangerous AI development. He suggests the US should lead this initiative to set global standards.
DeepMind CEO Demis Hassabis is proposing an independent AI "standards body" modeled after FINRA, to test frontier models and develop best practices for their release. This could shape how powerful AI systems are developed and released in the future.
China is using AI to censor and manipulate information, raising concerns about global AI ethics. The government is training AI models to promote its political agenda, not just filter content.