Avoiding AI Bias: How Incorporating Diversity Makes AI Better
Jutta Treviranus, Director, IDRC
Artificial intelligence (AI) is based on aggregating data that tends to operate in the realm of the “average.” People with disabilities and other traditionally marginalized groups tend to create rich outlier data sets that in turn can lead to AI that is better at identifying weak signals, arriving at novel approaches, managing the unexpected, and producing guidance that does not bias against outliers & small minorities. Join MNIT Commissioner Tomes and Dr. Jutta Treviranus in exploring how government IT organizations can use their positions to advocate for the design, development, and implementation of better AI to serve its citizens.
About Jutta Treviranus: Jutta is the Director of the Inclusive Design Research Centre (IDRC) and professor in the faculty of Design at OCAD University. 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. She also heads the Inclusive Design Institute, a multi-university regional centre of expertise. Jutta founded an innovative graduate program in inclusive design at OCAD University. She leads international multi-partner research networks that have created broadly implemented innovations that support digital equity. She has played a leading role in developing accessibility legislation, standards and specifications internationally.