AI, Ethical Issues and Explainability—Applied Biometrics

Professor KC Santosh, Ph.D. is the Chair of the Department of Computer Science (CS) at the University of South Dakota (USD). Prior to that, he worked as a research fellow at the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). He worked as a postdoctoral research scientist at the LORIA research center, Université de Lorraine in direct collaboration with industrial partner ITESOFT, France. He also served as a research scientist at the INRIA Nancy Grand Est research center (France), where he received his PhD in Computer Science - Artificial Intelligence.  His research projects, primarily in Applied AI, are funded (of more than $2m) by multiple agencies, such as SDCRGP, Department of Education, National Science Foundation, and Asian Office of Aerospace Research and Development. He completed leadership and training programs for Deans/Chairs (organized by the Councils of Colleges of Arts & Sciences (U.S. 21)) and PELI - President's Executive Leadership Institute (USD 21). He is highly motivated/interested in academic leadership. To name a few, Prof. Santosh is the proud recipient of the Cutler Award for Teaching and Research Excellence (USD 2021), the President's Research Excellence Award (USD 2019) and the Ignite Award from the U.S. Department of Health & Human Services (HHS 2014).   Casey Wall is a prestigious National Science Foundation (NSF) Research Traineeship Program awardee—graduate student at University of South Dakota. His research interests lie in Multimodal representation and learning for security and counterfeiting that addresses the national concern in understanding and disrupting the illicit economy.

Chapter 1. AI and ethical issues.- Chapter 2. Explainable AI.- Chapter 3. Trustworthy and explainable AI for biometrics.- Chapter 4. Illicit economy, threats, and biometrics.- Chapter 5. AI, ethical issues, and explainability for biometrics – summary and what else?.