Demystifying Machine Learning: Ethical Artificial Intelligence

Washington Hall, Room 219 (William & Mary), 241 Jamestown Road, Williamsburg, 23185

We will outline some of the main topics within the burgeoning field of ethical AI and show how issues of systematic bias can be addressed in a machine learning context.

Dec 3, 2021, 12:00 – 1:00 AM

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Key Themes

Machine Learning

About this event

While artificial intelligence approaches and applications are often very effective, they are not without their own drawbacks. Central to the field of ethical artificial intelligence are questions of privacy, bias, and discrimination. Attendees at this workshop will learn how deployed AI algorithms can fail when they are misunderstood or inappropriately applied. In particular, we will see how unrepresentative datasets can lead to algorithms that display high error rates for the least represented components of the data. Then, we will work to improve these models and discuss how we can work towards a general solution for more ethical AI approaches.


Banner photo credit: Pietro Jeng on Unsplash.

When

When

Friday, December 3, 2021
12:00 AM – 1:00 AM UTC

Organizers

  • Charlie Dobson

    GDSC Lead

  • Alex Batts

    Vice Lead: Outreach

  • Colleen Polka

    Vice Lead: Workshops

  • Jason LaPierre

    Vice Lead: Consulting

  • Aniedi Udo-Obong

    Regional Leader

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