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If you have trouble figuring out if an image of a person is real or if it’s been generated using artificial intelligence, you’re not alone.

A new study conducted by Cheriton School of Computer Science researchers found that people had more difficulty than expected distinguishing who is a real person and who is artificially generated.

The study saw 260 participants provided with 20 unlabeled pictures: 10 of which were of real people obtained from Google searches, and the other 10 generated by Stable Diffusion or DALL-E, two commonly used AI programs that generate images.

Cancer is the leading cause of death in Canada. According to the Canadian Cancer Society, an estimated 230,000 people are diagnosed with the disease every year.  

University Professor Ming Li, the Canada Research Chair in Bioinformatics, is using deep learning technology to make personalized cancer vaccines accessible to everyone. He began doing cancer research when his wife, Jessie W. H. Zou, was diagnosed with breast cancer. Though she died in 2010, her legacy continues in his research. 

Professor Shlomi Steinberg has a PhD in computer science from the University of California, Santa Barbara. While pursuing his doctoral degree he was a recipient of an NVIDIA PhD fellowship. He received his MSc in mathematics and computer science from the Weizmann Institute of Science in Israel under the supervision of Professor David Harel. His master’s research centred on efficient execution and distribution of formally verifiable software paradigms.

University Professor Ming Li is the 2024 recipient of the IEEE Computer Society W. Wallace McDowell Award, a prestigious honour conferred for his pioneering and enduring contributions to modern information theory and bioinformatics.