Bias in AI: Impact, Challenges, and Opportunities
• Podcast
Publisher
Software Engineering Institute
Subjects
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Abstract
Carol Smith discusses with Jonathan Spring the hidden sources of bias in artificial intelligence (AI) systems and how systems developers can raise their awareness of bias, mitigate consequences, and reduce risks.
About the Speaker
Carol J. Smith
Carol Smith is a senior research scientist in human-machine interaction in the SEI AI Division. In this role Smith contributes to research and development focused on improving user experiences (UX) and interactions with the nation’s AI systems, robotics, and other complex and emerging technologies. Smith’s research includes human-computer interaction (HCI), …
Read moreJonathan Spring
Jonathan Spring is an SEI alumni employee.
Jonathan Spring is a senior member of the technical staff with the CERT division of the Software Engineering Institute (SEI) at Carnegie Mellon University. Spring began working at the SEI in 2009. Prior posts include adjunct professor at the University of Pittsburgh’s School …
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