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Retrieved on: 2024-04-20 17:23:50
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Summary
The article addresses the systemic biases in AI technologies like facial recognition, highlighting how they perpetuate racial discrimination, with studies by researchers like Joy Buolamwini and Timnit Gebru evidencing high error rates. It emphasizes the need for diversity in AI development and data, discussing the work of companies and researchers aiming to create more equitable AI. This ties into the key concept of 'Computer science' and tags such as 'Artificial intelligence,' 'Facial recognition system,' and 'Progress in artificial intelligence.'
Article found on: www.businessinsider.com
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