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The Reform leader wins the by-election he triggered, and gains more votes than last time.
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U.S. leaders limited immigration amid economic and social turmoil. Historians see similarities to Trump's crackdown, with a catch: He's doing it without Congress.
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We speak with Timnit Gebru, a leader in the field of AI ethics, about how artificial intelligence is entrenching societal biases and inequality. Gebru is the founder and executive director of the Distributed Artificial Intelligence Research Institute, a group of academics, activists and engineers who produce research rooted in the belief that technology should benefit everyone. She also co-founded Black in AI, a nonprofit that works to increase the inclusion and visibility of Black people in the field of AI. Gebru previously served as co-lead of the ethical AI research team at Google but was fired in 2020 for writing a paper that warned about the financial and environmental costs of large language models, as well as their propensity to promote racism. The internet, which is what AI uses to train itself, "represents hegemonic views," says Gebru. "We even know articles like Wikipedia are heavily biased. It's overwhelmingly Western and male."
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