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Bias in AI: Impact, Challenges, and Opportunities
Software Engineering Institute (SEI) Podcast Series
English - September 23, 2021 14:35 - 24 minutes - 25.1 MB - ★★★★★ - 18 ratingsTechnology Science futuretech softwareengineering cybersecurity Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: My Story in Computing with Rachel Dzombak
Next Episode: Measuring DevSecOps: The Way Forward
In this podcast from the Carnegie Mellon University Software Engineering Institute, Carol Smith, a senior research scientist in human-machine interaction, and Jonathan Spring, a senior vulnerability researcher, discuss 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.