Policy Punchline

AI Is Biased: Why it Matters and How to Fix Algorithmic Injustice

Informações:

Synopsis

Multiple tech companies (Amazon, IBM) have—in a rather surprising turn of events—pledged to stop providing facial recognition technology to police departments in light of the #BlackLivesMatter movement. In this episode, Dr. Annette Zimmerman of Princeton University gives context to the wider public debate on algorithmic justice and the biases of artificial intelligence technology that is rapidly unfolding right now. Dr. Zimmermann, Arjun, and Tiger touch on some of the most long-standing questions in the field of AI research and moral philosophy: - What is algorithmic bias? Is all bias bad? How do we understand algorithmic bias from a moral and philosophical perspective, as well as from a technical perspective? - Where do we see algorithms exacerbating structural injustices in society, and in what precise ways are algorithms doing so? - What are some of the questions unworthy of asking or are merely “AI alarmism” that is not helpful to the discourse?  - AI fairness is an active research area. Is reducing