Making AI fair | Osonde Osoba | TEDxManhattanBeach

As Artificial Intelligence (AI) becomes more pervasive in our lives, we need to make sure that the decisions made by AI reflect the value system of our society, including one of the most coveted values, fairness. To eliminate the current bias and unfairness in AI systems today, Osonde believes we need to look back to the history of AI when social scientists worked along side software engineers. Osonde Osoba (pronounced “oh-shOwn-day aw-shAw-bah”) is a researcher and data scientist at the RAND Corporation and a professor at the Pardee RAND Graduate School. He has a background in the design and optimization of machine learning algorithms. He has applied his expertise to diverse policy topics such as epidemiology, defense acquisition, and science and technology policy. His recent focus has been on data privacy and accountability in algorithmic systems and artificial intelligence.

Prior to joining RAND, Dr. Osoba’s research at the University of Southern California (USC) was focused on improving the speed and robustness of popular statistical algorithms, specifically expectation-maximization, neural networks, and Bayesian inference.

When he’s not lecturing, writing or registering patents, you can find O Pé (Osonde’s apelido) substitute teaching and event organizing for the United Capoeira Association in Los Angeles (UCAinLA) and enjoying his practice of this Afro-Brazilian art form. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx

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