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The National Interest on MSN23h
On AI Regulation, Bigger Is Not Always Better
A comprehensive federal regulatory framework for AI is neither politically nor technically feasible. A more flexible approach is needed.
Sam Altman wants the U.S. government to pull back on AI regulation, but he's also concerned about an impending "AI fraud ...
State Of The AI. The launch of ChatGPT by OpenAI in 2022 was a wake-up call for innovators in the AI space. Prior to its release, although companies like Google, Microsoft and Meta were already on ...
Key challenges in crafting AI regulations include balancing innovation and safety, making sure accountability, and fostering global cooperation to address cross-border risks.
AI regulation bans carry legal and economic ramifications. States must weigh the economic benefits of AI against the potential legal challenges that bans might provoke.
In considering AI regulation, it is important to review both the main points of tension in the AI debate and weigh them against the challenges to regulating AI now.
Both groups worry more that government regulation of AI will be too lax vs. too excessive. To summarize, most would agree that more control over how AI shows up in our lives or work is necessary.
AI is also a particular challenge for companies because security standards and practices are still very nascent. The same tools are available regardless of whether people want to do good or bad ...
Beyond the U.S. and EU, different AI regulations are coming up globally. ... Despite these challenges, AI has the potential to make HR more inclusive and fair if it is implemented correctly.
New research from the University of South Australia has revealed that tertiary students' learning habits are deeply connected ...
A lack of formal regulation of AI usage in insurance is one of the biggest challenges facing the American insurance industry today, according to Darcy Rittinger, chief risk officer, Cover Genius.
In October 2024, the FCA launched its new AI lab, which aims to help financial services firms navigate the challenges of AI and support them as they develop new AI models and solutions.