Artificial intelligence plays a key role in facial recognition technology and the input data that drives the machine learning aspect of facial recognition technology is critically important. Bad data, or data sets that are incomplete or too narrow, present the risk of algorithmic bias. Elizabeth Adams is a chief AI and ethics advisor whose research is decimated to working with leaders at the design stage of technology to help mitigate potential bias.