The Responsible AI Safety and Education Act (RAISE Act) establishes mandatory transparency and safety standards for developers of high-risk AI systems in New York, positioning the state as a leader in AI regulation while raising concerns about compliance costs and bureaucratic challenges.
The OECD AI Principles set the first intergovernmental standards for accountability, data governance, and privacy in AI systems, addressing the implications of AI on work, the environment, and the need for collaboration in policy development.
The RAISE Act establishes legal responsibilities for developers of high-risk AI systems in New York, mandating safety plans, independent audits, and reporting requirements, while excluding small companies to promote innovation.
The UK is integrating human rights principles into AI systems’ design and use, mandating transparency through the Algorithmic Transparency Recording Standard, and promoting international cooperation to mitigate associated risks.
The California Governor’s office has issued a report outlining a regulatory framework for AI that emphasizes a “trust but verify” approach, highlighting the need for transparency, accountability, and proactive regulation to mitigate risks while fostering innovation.
The Third Circuit Court of Appeals will examine the pivotal case of ROSS Intelligence v Thomson Reuters, which addresses whether the use of copyrighted materials for AI training constitutes fair use, following a district court ruling that found ROSS liable for copyright infringement.
