Alex Hanna, Data, Transparency, And AI Ethics

Two centuries of dystopian thought consistently imagined how technologies “out of control” can threaten humanity: with obsolescence at best, with violent systemic destruction at worst. Yet current advances in neural networked machine learning herald the advent of a new ethical question for this established history of critique. If a genuinely conscious form of artificial intelligence arises, it will be wired from its inception as guided by certain incentives, one of which might eventually be its own self-preservation. How can the tradition of philosophical ethics approach this emerging form of intelligence? How might we anticipate the ethical crisis that emerges when machines we cannot turn off cross the existential threshold, becoming beings we should not turn off? Alex Hanna ML Fairness Google

Om Podcasten

A selection of interviews and talks exploring the normative dimensions of AI and related technologies in individual and public life, brought to you by the interdisciplinary Ethics of AI Lab at the Centre for Ethics, University of Toronto.