Why the Jagged Edge Matters


Statistical reasoning shapes our collective sense of what is true, what is best, and what should happen next. Even before we mechanized statistical prediction through machine learning, it was a habitual convention that was used as a marker of quality, rigorous science and democratic fairness. What happens if you happen to be far from the statistical mean? What if every scientific predication does not apply to you? What if you are unrecognizable and commonly flagged as a potential threat? What happens when we automate, amplify and accelerate this convention? What are we collectively missing by habitually looking toward the average, the most popular, the majority?


Jutta Treviranus is the Director of the Inclusive Design Research Centre (IDRC) and professor in the faculty of Design at OCAD University in Toronto (http://idrc.ocadu.ca ). Jutta established the IDRC in 1993 as the nexus of a growing global community that proactively works to ensure that our digitally transformed and globally connected society is designed inclusively. Dr. Treviranus also founded an innovative graduate program in inclusive design at OCAD University. Jutta is credited with developing an inclusive design methodology that has been adopted by large enterprise companies such as Microsoft, as well as public sector organizations internationally. In 2022 Jutta was recognized for her work in AI by Women in AI with the AI for Good - DEI AI Leader of the Year award.

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