Virginia Governor Glenn Youngkin vetoed House Bill 2094, which aimed to establish a legal framework for AI, highlighting the sufficiency of existing laws in regulating AI-related issues. This decision reflects a growing trend among states to reconsider hasty AI regulations and emphasize existing legal protections for consumers.
The AI Action Summit 2025 gathered global leaders to discuss the evolving landscape of artificial intelligence, focusing on innovation, regulation, and governance. Prime Minister Modi emphasized India’s commitment to ethical AI development, positioning the nation as a key player in the global AI ecosystem.
As artificial intelligence increasingly guides critical decisions in areas like lending and hiring, a fundamental question arises: how much should we trust these systems, and when should human judgment prevail? This research delves into the complex interplay between human oversight and AI, exploring how these collaborations impact fairness. The core inquiry centers on understanding the conditions under which we might either over-rely on potentially flawed AI recommendations or, conversely, dismiss valid AI advice due to our own biases. By examining these dynamics, this work seeks to provide actionable insights for designing oversight mechanisms that promote equitable outcomes in high-stakes AI-assisted scenarios.
As AI models grow in power, leading developers are codifying safety measures to mitigate potential risks. These policies share common elements: defining dangerous capability thresholds, securing model weights from theft, carefully controlling model deployment, and regularly evaluating model performance. Companies also commit to halting development if risks exceed mitigation strategies. While specific implementation varies, a trend toward greater accountability and transparency reveals an industry striving for responsible innovation and adapting its safety measures as AI evolves.
This rigorous framework, built on proportionality, iteration, and exportability, demonstrates a commitment to aligning AI innovation with responsible risk management. By proactively defining capability thresholds, enforcing required safeguards, and prioritizing continuous assessment, the Responsible Scaling Policy charts a path towards a future where increasingly powerful AI systems are developed and deployed with careful consideration for potential risks. The systematic approach to internal governance, coupled with a dedication to transparency and external engagement, strives to establish a benchmark for industry self-regulation and informed policy-making, ultimately shaping a safer and more beneficial AI landscape.
Virginia’s Governor, Glenn Youngkin, vetoed a bill aimed at regulating “high-risk” AI systems, expressing concerns that it would hinder the AI industry and economic growth. Meanwhile, Colorado’s AI Impact Task Force has identified areas for improvement in their existing AI law ahead of its effective date in February 2026.
On March 24, 2025, Virginia’s Governor vetoed House Bill 2094, which aimed to establish regulations for businesses developing “high-risk” AI systems, citing concerns over its potential to hinder innovation. This decision reflects ongoing debates about how best to regulate AI technology at both state and federal levels.
Artificial intelligence (AI) is transforming international relations and governance, presenting both opportunities and risks that must be managed through ethical oversight. The European Union is leading the way with the Artificial Intelligence Act, setting global standards for safe and responsible AI development while promoting international cooperation.
The authors express serious concerns that the draft Code of Practice for the EU AI Act fails to adequately protect human rights by allowing many risks to be classified as optional. They argue that this approach undermines the Act’s intent to set a world-leading standard for AI regulation while prioritizing corporate interests over human rights.
Taiwan is taking proactive measures to support the AI industry by introducing the draft AI Basic Act and amending existing laws to address challenges posed by AI technologies, such as fraud and election manipulation. The government’s comprehensive approach includes promoting AI innovation across various sectors while ensuring data governance and protecting personal privacy.