Policy Lab: AI and Implicit Bias (de Silva de Alwis)
Faculty
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| Rangita de Silva de Alwis Senior Adjunct Professor of Global Leadership rdesilva@law.upenn.edu |
Additional Information
Experiential CourseYes
No
Class meets online.
Course Continuity
Students are encouraged to stay home if you are ill or experience flu-like symptoms. If you miss a class for any reason, it is still your responsibility to make up the work missed.
I offer the following to students who miss class due to illness:
- If you are absent, due to illness or some other unavoidable circumstance, email me and I can ask for volunteers among your classmates to share their notes with you.
Meeting Times/Location
M 1:00PM - 3:00PM
Category
Upper-Level
Credits
2.0
Two credit experiential. The Lab will engage closely with Microsoft's Legal Counsel's Office and Microsoft's Office of Accessibility Primarily through a series of multilateral conversations with international stakeholders, including leaders in technology, technologists, lawyers, researchers, and designers, we will seek to understand whether and how gender bias, including implicit and unconscious biases are being baked into technological design, and whether and how these biases are being reproduced in new technologies. Currently, there is gender asymmetry in the AI workforce. Those designing, coding, engineering and programming AI technologies do not represent a diverse demographic. Our theoretical explorations will include gender equality theory, implicit bias, unconscious bias, and postcolonial theory to explore subtle barriers to equality that bleed into the design of AI technologies. This one credit experiential lab will develop a set of policy guidelines and a code of inclusion which could guide tech leaders, designers and technologists to embed pluralism and inclusion into AI systems and the future of work. Some Speakers to Class:
1)Mitchell Baker- CEO of Mozilla 2) Sean White- Chief R and D Officer- Mozilla 3) Lila Ibrahim- CEO of Deep Mind, Cover of Forbes Women and Henry Crown Fellow Aspen. 4)Safiya Noble - author of Algorithms of Oppression- Time 100 video interview with the Duke and Duchess of Sussex in October on Times most innovative people https://www.msn.com/en-us/news/world/prince-harry-and-meghan-the-duke-and-duchess-of-sussex-discuss-misinformation-with-silicon-valleys-biggest-critics/ar-BB1adFZQ 5) Jenni Olson-LGBTQ filmmaker - Criterion Collection- movie on AI and Bias