Phys.org January 3, 2019
Researchers at Wake Forest University compared the emotional analysis from two different facial recognition services, Face and Microsoft’s Face API. Both services interpreted black players as having more negative emotions than white players. According to the researchers there are two different mechanisms. Face consistently interprets black players as angrier than white players, even controlling for their degree of smiling. Microsoft registers contempt instead of anger, and it interprets black players as more contemptuous when their facial expressions are ambiguous. As the players’ smile widens, the disparity disappears. The finding has implications for individuals, organizations, and society, and it contributes to the growing literature of bias and/or disparate impact in AI…read more. Open Access TECHNICAL ARTICLE
Credit: Chart: The Conversation, CC-BY-ND Source: SSRN (2018)