Katherine Lee, Diversity in Data Graduate Specialist, explored various aspects of Algorithmic Bias.
The talks below cover the same topics from the Spring 2022 Diversity in Data series.
We need a cultural shift in technology. Let's discuss how the "move fast, break things" tech mentality and the uplifting of tech companies and leaders onto pedestals furthers algorithmic bias.
This workshop will focus on specific examples of algorithmic bias in popular technologies, and how they were resolved short-term and long-term as well as what we can learn from these errors.
We know algorithmic bias exists in our tech. So, what can we do?
Katherine Lee served as Diversity in Data Graduate Specialist during academic year 2021-2022 and 2022-2023. Her research into algorithmic bias (problems, examples, and solutions) resulted in the presentations described on this page.
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