Under the Joint Artificial Intelligence Governance model, frontier AI companies must demonstrate their ability to self-regulate. This is a recent example of actions towards achieving this goal.


OpenAI, Anthropic probe tens of thousands of AI model security incidents


As for its part of establishing standards, licensing, auditing and liability, government is in the stage of publicly probing AI companies nationally and internationally. These are sample probes into AI. 


Senior leaders from Anthropic, OpenAI, Google and Meta testified under oath during a New York City Council hearing.

U.S. FTC to Compel Testimony from AI Executives in Sweeping Probe of OpenAI and Anthropic

U.S. Will Now Examine National Security Implications of New AI Models, Pre-Release

OpenAI Faces Congressional Probe Over Swarm Hacking Incident

Australia Summons OpenAI, Anthropic CEOs to AI Probe

Comments

Post a Comment

Popular posts from this blog

Image
Financial Sector Governance could be the closest model to follow for Artificial Intelligence governance. How does the Financial sector work and how does it help in the case of AI? The financial-sector model essentially says: Private power + public authority + shared infrastructure + systemic risk requires joint governance . AI increasingly has exactly the same characteristics. Consider the parallel: Financial Sector AI Ecosystem Banks AI Companies Financial Markets AI Platforms/Models Capital Compute/Data/Investment Regulators AI Regulatory Authorities Central Banks Strategic/National AI Institutions Financial Infrastructure Cloud, Chips, Data Centers Systemic Financial Risk Systemic AI Risk Regulatory Capture AI Regulatory Capture Financial Stability AI/Strategic Stability Public/Private Governance Government–Industry AI Governance The most important lesson from Financial Sector Governance ...
Read more
Image
Artificial intelligence is developing along two major—and increasingly interconnected—paths: Commercial/Economic AI and Strategic AI. They require different governance philosophies. Commercial/Economic AI The guiding principle is: Regulate the risks while preserving competition and innovation. Its institutional foundations resemble those developed for other powerful economic systems: Financial regulation Antitrust law Consumer protection Environmental regulation Occupational safety Privacy law The objective is to allow innovation while preventing companies, markets, or technologies from imposing unacceptable costs on society. Strategic AI Strategic AI presents a fundamentally different challenge. Its guiding principle is: Maintain human control and strategic stability while preventing catastrophic misuse or escalation. Its institutional ancestors are therefore different: Nuclear arms control International humanitarian law Military command structures Intelligence oversight ...
Read more