“We know of too many real-world examples of AI systems that have flawed or biased algorithms: automated processes used in hospitals that understate the health needs of Black patients; recruiting and hiring tools that discriminate against women and minority candidates; facial recognition systems with higher error rates among people with darker skin; and more.
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Cory A. Booker
U.S. senator from New Jersey
In a 2023 news release announcing the Algorithmic Accountability Act, Booker said there are too many real-world examples of AI systems with flawed or biased algorithms — in hospitals, in hiring, and in facial recognition — and that the bill would require automated systems to be assessed for biases and hold bad actors accountable.
U.S. Senator for New JerseySeptember 21, 2023Official Senate office news release
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The bill applies to new generative AI systems used for critical decisions, as well as other AI and automated systems. “We know of too many real-world examples of AI systems that have flawed or biased algorithms: automated processes used in hospitals that understate the health needs of Black patients; recruiting and hiring tools that discriminate against women and minority candidates; facial recognition systems with higher error rates among people with darker skin; and more. The Algorithmic Accountability Act would require that automated systems be assessed for biases, hold bad actors accountable, and ultimately help to create a safer AI future,” “AI is making choices, today, about who gets hired for a job, whether someone can rent an apartment and what school someone can attend.
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