Innovation For All - Diversity in Tech and Business

When Are "Fair" Algorithms Better Than Accurate Ones? with Osonde Osoba


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Osonde Osoba, an engineer at the RAND Corporation and a professor at the Pardee RAND Graduate School, joins us in today’s episode of Innovation For All Podcast to talk about Fairness in Artificial Intelligence and Machine Learning. Most AI’s today and in the future could have consequential impacts on the people, which is why Osonde is pushing for systems that are accurate, unbiased, and flexible.
Discover what areas should we be wary when handing over the decision-making to AI’s, why this isn’t just a technical issue, but also political, and who should we put in charge of these systems. Learn also the importance of accountability, ethics, privacy, and regulation in AI systems. Visit innovationforallcast.com for shownotes and links to Osonde's TEDX talk: Making AI Fair.
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Innovation For All - Diversity in Tech and BusinessBy Innovation For All, Sheana Ahlqvist

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