The U.S. Supreme Court struck down 'Chevron deference,' requiring courts to exercise their legal judgment in interpreting congressional laws, making nationwide AI regulation significantly more challenging.
Regulating AI now demands highly specific and complex legislation due to the rapid evolution and ambiguity of the industry, potentially hindering federal attempts at a cohesive AI policy framework.
Courts will now have to fill gaps left in AI legislation, posing significant challenges for lawmakers and potentially leading to increased difficulty in regulating AI effectively at a federal level.
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