The Supreme Court's recent decision to overturn Chevron deference has significant implications for federal AI regulation, removing the requirement for courts to defer to federal agencies' interpretations of ambiguous statutes. This ruling complicates the Biden administration's efforts to regulate artificial intelligence, leading to increased legal challenges and highlighting the need for clear legislative directives from Congress. Legal experts, such as Ellen Goodman from Rutgers Law School, emphasize the necessity of establishing a new AI-focused regulatory agency.
In addition to the Supreme Court ruling, a new bipartisan legislation introduced by Senators Gary Peters and James Lankford aims to streamline the fragmented cybersecurity regulations in the United States. The Streamlining Federal Cybersecurity Regulations Act proposes the creation of an interagency committee led by the national cyber director to address inconsistent or contradictory cybersecurity requirements across federal agencies. This bill responds to concerns raised during recent Senate hearings about regulatory fragmentation and seeks to establish consistent cybersecurity standards.
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Sam Altman today revealed that OpenAI will release an open weight artificial intelligence model in the coming months. "We are excited to release a powerful new open-weight language model with reasoning in the coming months," Altman wrote on X.