The Bias in AI: Case study of facial recognition technology - What the Aid

Facial recognition's history can be traced back to its beginning in the sixties, which continued to develop until the recent research in this field (Libby and Ehrenfeld, 2021). In the seventies, NEC used the technology of facial recognition in Osaka Expo '70 in Japan and it attracted a huge audience (Gates, 2016) and is still evolving to unknown destinations, like any other new technology it has its share of controversial debates, arguments, and ethical dilemmas. In this case study we will explore and understand what facial recognition is, what the possible biases of this technology are. Long ago boarder control used witnesses to identify a suspect, or even use a professional artist to draw a picture of the suspect from the witness description to compare it with existing criminal data base (Horkaew et al., 2020). Facial Recognition Technology (FCT) is an artificial intelligence (AI) tool used to recognize and identify digital forms of facial footage or videos and cross-link the findings to existing databases using algorithms, (Thomas, 2018; Deborah Raji et al., 2020; European Union Agency for Fundamental Rights (FRA), 2020).