AI & Inequality | Kalinda Ukanwa predicts biased algorithms 'to be less profitable'
Kalinda Ukanwa, assistant professor of marketing at the University of Southern California, spoke with Harvard Business School's Institute for Business in Global Society (BiGS) at a symposium on Inequality in the Digital Age, a collaboration with the Race, Gender, and Equity initiative at HBS. Ukanwa's research focuses on the responsible use of AI to ensure that its outputs and the outcomes it generates are fair to everyone. Ukanwa asserts the study of bias in algorithms is as important as studying society's beliefs around whether the algorithms are unfair, providing a rich frontier for future academic research and business debate about AI. Ultimately, she details that the fact that biased algorithms are less profitable for firms in the long run, as well as the existence of legal incentives against bias, will be the most effective strategies to ensure fair use of the technology.
In this video, Ukanwa answers the following questions:
00:01 – Who is Kalinda Ukanwa and what is her #research about?
02:25 – Is #AI good or bad for society?
02:48 – What research is Ukanwa presenting at the Inequality in the Digital Age conference?
03:52 – What's the next research frontier in AI?
04:50 – What are effective #strategies to encourage the use of fair #algorithms?
05:59 – What should #CEOs consider before deploying AI?
#ethicalAI #artificialintelligence #bias #fairalgorithms #unconsciousbias #ThinkBiGS @USC @HarvardHBS
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