How AI Companies Exploit Regulatory Gaps to Evade Accountability

Summary

This student essay, part of a Harvard Berkman Klein Center series, examines how AI companies exploit regulatory gaps and legal gray areas to cause familiar harms through new mechanisms while evading existing legal protections. The author uses personal experience with an AI image classifier misgendering them as a transgender person to illustrate algorithmic bias. The article argues that regulatory arbitrage in the AI supply chain allows companies to bypass accountability, and calls for updated legal frameworks to address these emerging challenges.

Source

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