Making Artificial Intelligence Fairer

After decades of research, artificial intelligence is rapidly becoming a major force in our lives, uncannily understanding our language and our photographs, and even starting to take some of our jobs. Since this transformative technology is made by human beings, it has also exposed the biases of its creators and could reinforce those biases in our world. We’re joined by Tina Eliassi-Rad, an Associate Professor of Computer Science at Northeastern and also a faculty of Northeastern’s Network Science Institute. Her work focuses on machine learning, a centerpiece of Al.

Tina Eliassi-Rad is an Associate Professor of Computer Science at Northeastern University. She is also on the faculty of the Network Science Institute. Prior to joining Northeastern, Professor Eliassi-Rad was an associate professor of computer science at Rutgers University; and before that a member of technical staff and principal investigator at Lawrence Livermore National Laboratory. She earned her PhD in Computer Sciences (with a minor in mathematical statistics) at the University of Wisconsin-Madison. Her research is rooted in data mining and machine learning; and spans theory, algorithms, and applications of massive data from networked representations of physical and social phenomena. Professor Eliassi-Rad’s work has been applied to personalized search on the World-Wide Web, statistical indices of large-scale scientific simulation data, fraud detection, and cyber situational awareness. Her algorithms have been incorporated into systems used by the government and industry (e.g., IBM System G Graph Analytics) as well as open-source software (e.g., Stanford Network Analysis Project). In 2010, she received an Outstanding Mentor Award from the US DOE Office of Science.

View Eliassi Rad’s presentation, “Just Machine Learning”