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Join us for a discussion, chaired by Philosophy's Catherine Stinson, about the film "", which can be streamed in advance of the discussion through the Queen’s University Library. ³ÉÈË´óƬ the film, Stephanie Bunbury (The Age) writes: "In Coded Bias, an American documentary, Shalini Kantayya takes a deep dive into the ways algorithms repeat and reinforce the unconscious prejudices of their original programmers".

³ÉÈË´óƬ the speakers:

LLana James is the AI, Medicine and Data Justice Post-Doctoral Fellow at ³ÉÈË´óƬ. She is also wrapping up her doctoral studies at the University of Toronto, Faculty of Medicine. Her research  is focused on the intersection of AI applications in, clinical care, population health, public health data science and the law, and its particular implications for BlackLife. LLana’s recent thinking and research can be found in the Conversation, the Toronto Star, the AI health podcast and the web series COVID  conversations, which is the first and longest running pan-Canadian series on race-based data collection, AI, Big Data, privacy, ethics and equity in health. You can find more at @REDE4BlackLives on Twitter.

Bretton Fosbrook (he/they) is Senior UX Researcher at Wealthsimple, where he creates organizational and institutional change in the service of more just futures. Building from nearly 10 years of experience in knowledge integration and environmental scanning, Bretton works as an advisor to organizations that are ready to respond with purpose to emerging culture, economic, and technology trends. Previously, Bretton was a research fellow at the Rotman School of Management at the University of Toronto, where he developed and led the Working Beyond the Binary project, an initiative seeking to improve the workplace conditions for trans and gender non-conforming people in Canada by helping businesses to understand the changing landscape of gender diversity. Bretton received a PhD (2017) in science and technology studies from York University.

Discussion of Bias in AI (Poster, JPEG 70KB)