Artificial intelligence is increasingly influencing our society and our behavior. One of the challenges with the machine learning algorithms (used in AI applications) is the over-representation of biased data - especially around gender, racial profiles, and ethnic backgrounds. This panel discussion will focus on the algorithmic bias - it’s impact, detection, and mitigation strategies. It offers government, technology, and industry leaders a set of recommendations, best practices, as well as consumer-focused techniques -all of which will promote the fair and ethical deployment of AI.
Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.