Algorithmic Bias in Artificial Intelligence
Type: Presentation
Description:
Have you ever wondered how social media platforms decide who to recommend as your friend? Or how AI models can be used to forecast the future? All prediction algorithms in AI have some inherent bias. The algorithms need bias to be able to generalize to previously unseen situations, but often bias is seen as a problem that causes algorithms to make mistakes. Here we explore different types of bias and how they can impact scenarios differently. Participants can talk with researchers and learn about the benefits and drawbacks of bias through hands-on demonstrations.
Presented by:
- Anna Stephens, Research Assistant, Computer Science & Engineering, MSU
- Francisco Santos, Research Assistant, Computer Science & Engineering, MSU
- Asadullah Galib, Research Assistant, Computer Science & Engineering, MSU
- Bidhan Bashyal, Research Assistant, Computer Science & Engineering, MSU
Ages: Elementary school age, Middle school age, High school age, Over 21 years only
Scientific Disciplines:
- Engineering and Technology
For more information:
Read more about Algorithmic Bias in Artificial Intelligence (external site)
Time and Location
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Date/Time: 4/1/2023 10:00 AM - 4:00 PM
Location: STEM Teaching and Learning Facility Room 2201