According to an article from MediaNama, Google has recently outlined its key principles for AI regulation, urging lawmakers to fill gaps in existing laws rather than creating new ones. Google's policy agenda emphasizes the need for a balanced approach to AI regulation that promotes innovation while ensuring accountability and trust.

The policy agenda highlights three core objectives: opportunity, responsibility, and security. Google argues that fostering innovation through AI requires government investment in research and development, creating a supportive legal environment, and planning for an AI-ready workforce. By encouraging the development of AI, countries can maximize access to technology and achieve significant public objectives.

Responsibility is another critical aspect of Google's AI policy. The agenda suggests that AI deployment should involve a mix of government laws, corporate self-regulation, and input from non-governmental organizations. Google advocates for adopting common approaches to AI regulation based on international standards, such as those from the OECD. This would include ensuring that AI technologies are developed and deployed responsibly, with transparency and accountability.

In terms of security, Google's agenda calls for protecting global security through cohesive AI strategies that address both opportunities and risks. The company emphasizes that focusing regulations on high-risk applications can deter innovation in areas where AI could offer significant benefits. Therefore, a balanced regulatory framework should consider trade-offs between policy objectives like transparency, fairness, privacy, security, and efficiency.

Google's recommendations also suggest that existing regulatory agencies update their oversight regimes to apply to AI systems, ensuring compliance with current regulations using international consensus standards. The company believes that a supportive regulatory environment can help advance AI technology while safeguarding public interests.

This policy agenda reflects a broader trend in AI governance, where companies and governments seek to find a middle ground that supports technological advancement while addressing ethical and societal concerns.