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Bias can manifest in algorithmic decisions because the program follows rules that may have been written by individuals unaware of their own biases.
Findings
Additional insights we found via TEDx Talks
Found in search engines, hiring and college admissions tools, facial recognition systems, and other software, algorithms may be built on limited, incomplete, or inaccurate data, which makes them more likely to inherit and propagate existing biases.
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