Tag: regulation
This article explores the critical domain of AI governance, detailing its definition, necessity, core principles, and practical implementation strategies. It emphasizes the evolving regulatory landscape and the importance of a proactive, ethical approach to AI development and deployment to ensure responsible innovation and mitigate risks.
A new study reveals that rapidly advancing autonomous AI agents in healthcare are outpacing existing medical device regulations in the US and Europe. Researchers propose adaptive regulatory frameworks and voluntary alternative pathways to ensure patient safety and foster innovation.
White & Case LLP has released a comprehensive handbook designed to guide businesses through the complexities of the EU AI Act. This resource provides an in-depth look at the regulation
European creators are expressing significant reservations about the proposed implementation measures for the AI Act, fearing detrimental effects on their ability to create and distribute content. The core of their argument centers on the potential for overly broad definitions and burdensome requirements that could stifle innovation and artistic expression within the creative sector.
BRICS nations are advocating for the United Nations to spearhead the development of global rules for artificial intelligence, emphasizing the need for a unified international approach to AI governance amidst rapid technological advancements.
The upcoming 2025 AI export controls are poised to reshape the technological landscape, with significant implications stemming from potential Microsoft regulatory capture and the subsequent impact on competitors like Oracle. This analysis delves into the quantified effects and model restrictions that will define the next era of AI development and deployment.
This analysis explores the ongoing developments in U.S. artificial intelligence regulation, examining the current approaches and future directions in establishing a comprehensive legal and ethical framework for AI technologies.
A new report from Stanford HAI features leading scholars urging a shift towards evidence-based strategies in AI policy development, emphasizing the need for rigorous data and analysis to guide regulation and innovation effectively.
The global approach to Artificial Intelligence governance is fracturing, with major world powers increasingly adopting divergent strategies. This analysis explores the contrasting regulatory philosophies emerging from key nations and blocs, highlighting the implications for international cooperation and the future of AI development.
The European Commission has released a Code of Practice for General-Purpose AI, signaling a proactive approach to AI governance. This analysis delves into its implications for developers and deployers, focusing on transparency, risk management, and fundamental rights.
As artificial intelligence becomes more integrated into society, a growing public apprehension is poised to significantly influence the trajectory of AI regulation. This analysis explores the emerging backlash against AI and its inevitable impact on legislative frameworks, drawing parallels with historical technological shifts.