Aleksandra Mojsilovic

Mojsilović's research interests include artificial intelligence, machine learning, multi-dimensional signal processing, and data science. She has applied her expertise to diverse application areas, including computer vision, multimedia, recommender systems, medical diagnostics, healthcare, IT operations, business analytics, workforce analytics, drug discovery, disease ecology, and most recently, COVID-19 response. A substantial part of her research is focused on development of ethical, responsible, and beneficial AI systems. In 2015, with Kush Varshney, she created IBM Science for Social Good initiative as a way to promote and direct AI research and development towards applications that benefit humanity. She was among the first researchers to call for transparent reporting on the development and deployment of AI models and systems.

Mojsilović was born in Belgrade, Serbia. She received her PhD in Electrical Engineering in 1997 from the University of Belgrade, Belgrade, Serbia. From 1997 to 1998, she was an assistant professor at the University of Belgrade. From 1998 to 2000, she was a Member of Technical Staff at the Bell Laboratories, Murray Hill, New Jersey. She joined IBM Research in 2000.

Aleksandra (Saška) Mojsilović (born 1968) is a Serbian American scientist. Her research interests are artificial intelligence, data science, and signal processing. She is known for innovative applications of machine learning to diverse societal and business problems. Her current research focuses on issues of fairness, accountability, transparency, and ethics in AI. Mojsilović currently leads Trustworthy AI at IBM Research and is a co-director of IBM Science for Social Good. She is an IBM Fellow and IEEE Fellow.