Algorithms, Unconscious Bias, & AI
AI is beginning to show racist and sexist associations, and it learned it by watching us. In a world where tech leadership is skewed 80% men and 83% percent white, and we are becoming increasingly more reliant on AI, how can we increase representation in our tech tools? Algorithms use data and benchmarks based on a past that we are trying to move away from. We either recognize the bias that is built into our daily culture, or we relive our past mistakes.
Additional Supporting Materials
- Who is represented? Who isn’t represented? How can we create a more equal future?
- What are the steps we can take now to be aware of our inherent unconscious bias?
- How can we create an environment where people are not judged by their backgrounds, leading to more diversity in the teams that create our tech?
- Amy Nordrum, Associate Editor, IEEE Spectrum
- Nita Patel, Chair, IEEE Women in Engineering International Leadership Conference
- Lynn Conway, Professor of Electrical Engineering and Computer Science, University of Michigan
Shana Pepin, Project Specialist, IEEE
Show me another