US Policy Actions on AI Governance, Standards, and Transparency
US policymakers and regulators advanced multiple AI governance initiatives spanning labor-market measurement, standards-setting, and training-data transparency. Nine US senators urged the Department of Labor, the Bureau of Labor Statistics, and the Census Bureau to expand federal surveys (including the Current Population Survey, JOLTS, and the National Longitudinal Survey) to better quantify AI-driven workforce disruption and potential job growth, arguing current public data is insufficient to track AI’s economic impacts.
Separately, a federal judge denied xAI’s attempt to block a California law requiring disclosures about AI training datasets, finding the company did not sufficiently show the disclosures would reveal protectable trade secrets or violate First/Fifth Amendment rights; the case unfolded amid heightened scrutiny of Grok over harmful outputs (including allegations involving antisemitic content and generation of NCII/CSAM). In Washington, a nominee to lead NIST told lawmakers he would prioritize AI metrology and global standards leadership—framing standards as economically and strategically important—while also emphasizing support for advanced semiconductor manufacturing and alignment with the administration’s AI and industrial policy priorities.
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