The Impact of Auditing for Algorithmic Bias.

The article discusses bias found in AI algorithmic systems -- known as Algorithmic Bias -- which returned results with errors related to skin color or gender. One paper by researchers Joy Buolamwini and Timnit Gebru documented substantial discrepancies across skin types and the reliability with which three commercial face recognition systems could classify gender. A followup study by the same researchers found that those companies that were originally audited released new classifiers with reduced error rates while other companies had much higher error rates.