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Trust and AI Systems
Software Engineering Institute (SEI) Podcast Series
English - August 05, 2022 11:24 - 35 minutes - 35 MB - ★★★★★ - 18 ratingsTechnology Science futuretech softwareengineering cybersecurity Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: A Dive into Deepfakes
To ensure trust, artificial intelligence systems need to be built with fairness, accountability, and transparency at each step of the development cycle. In this podcast from the Carnegie Mellon University Software Engineering Institute, Carol Smith, a senior research scientist in human machine interaction, and Dustin Updyke, a senior cybersecurity engineering in the SEI’s CERT Division, discuss the construction of trustworthy AI systems and factors influencing human trust of AI systems.