Artificial Adversarial Intelligence – Faculty of Engineering
Two chess pieces with computer coding in the background

Artificial Adversarial Intelligence

Explore how competition between adversaries is shaping the evolution of artificial intelligence, from tax auditing and cybersecurity to the training of foundation models.

About the speaker

Dr. Una-May O’Reilly is a Senior Research Scientist and leader of the ALFA Group at the Massachusetts Institute of Technology’s Computer Science and Artificial Intelligence Laboratory (CSAIL). An AI and machine learning researcher for more than 20 years, her work focuses on Adversarial Intelligence: the intelligence leveraged in competitive offense-versus-defence environments, with the goal of advancing Artificial Adversarial Intelligence.

Her research spans taxation, cybersecurity and financial fraud, and includes the development of new deep learning and evolutionary algorithms.

O’Reilly’s academic accomplishments include an honorary doctorate from Dalhousie University, multiple Best Paper and Impact awards, the SIGEVO Recognizing Outstanding Achievements in Evolutionary Computation Award, the SPECIES Outstanding Achievements in Evolutionary Computation Award, and numerous keynote presentations, including the 2024 ACM SIGEVO Distinguished Lecture at GECCO.

She holds a B.Sc. from the University of Calgary and an M.C.S. and Ph.D. from Carleton University.