AI companies promised to self-regulate one year ago. What's changed?
AI companies like Amazon, Google, and Microsoft committed to safe AI development with the White House. Progress includes red-teaming practices and watermarks, but lacks transparency and accountability. Efforts like red-teaming exercises, collaboration with experts, and information sharing show improvement. Encryption and bug bounty programs enhance security, but independent verification and more actions are needed for AI safety and trust.
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AI companies, including Amazon, Google, and Microsoft, made voluntary commitments with the White House a year ago to develop AI in a safe and trustworthy manner. MIT Technology Review's assessment reveals progress in red-teaming practices and watermarks for AI-generated content. However, transparency and accountability are lacking. Companies like OpenAI conduct red-teaming exercises and collaborate with external experts to probe AI models for flaws. The establishment of the Frontier Model Forum and participation in the Artificial Intelligence Safety Institute Consortium show efforts to share information on managing AI risks. Measures to protect proprietary AI model weights have been implemented, such as encryption by Microsoft and cybersecurity initiatives by Google. Bug bounty programs are in place for vulnerability reporting, but more comprehensive third-party auditing is needed. While progress has been made, experts emphasize the necessity for independent verification and more substantial actions to ensure AI systems' safety and trustworthiness. The industry still faces challenges in achieving meaningful changes and addressing all risks associated with AI development.
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