Block Center Podcast "Episode 4: Fair Enough"
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Consequential is a podcast that looks at the human side of technological change and develops meaningful plans of action for policymakers, technologists and everyday people to build the kind of future that reduces inequality, improves quality of life and considers humanity. Over the course of the first season, hosts Lauren Prastien and Eugene Leventhal will unpack important topics like industry disruption, algorithmic bias, human-AI collaboration, reskilling and the future of work, as well as discuss policy interventions for using emerging technologies for social good.
Episode 4: Fair Enough
Everyone has a different definition of what fairness means - including algorithms. As municipalities begin to rely on algorithmic decision-making, many of the people impacted by these AI systems may not intuitively understand how those algorithms are making certain crucial choices. How can we foster better conversation between policymakers, technologists and communities their technologies affect?
In this episode:
- Jason Hong, Professor of Human Computer Interaction, Carnegie Mellon University
- Molly Wright Steenson, Senior Associate Dean for Research, Carnegie Mellon University
- David Danks, Professor of Philosophy and Psychology, Carnegie Mellon University
Listen below or read the Episode 4 transcript.