Unpacking the Boundaries of AI Decision-Making
AI regulations are evolving rapidly, but the most important rules might not be about what you should do—they’re about what you must not do. Lawmakers aren’t just guiding how companies develop or use artificial intelligence; they’re setting clear boundaries where algorithmic decision-making is outright prohibited. These boundaries highlight areas where society agrees that AI poses unacceptable risks.
Why Prohibitions Matter in Shaping AI’s Future
Focusing on prohibitions, rather than just compliance, helps us understand where policymakers draw the line on algorithmic authority. These “you must not” rules shape the landscape of AI development by signaling which uses are simply too risky or unethical. From privacy violations to biased decision-making, these red lines reflect a growing consensus on the limits of AI in society. As AI technology continues to advance, expect these boundaries to become even more crucial in guiding responsible innovation.
Sources:
Mapping the Boundaries of Algorithmic Authority – NatLawReview




