AI can stand between you and getting a job. That means for you to make money and support yourself and your family, you may have to convince an AI that you’re the right person for the job. And yet, AI can be biased and fail in all sorts of ways. This is a conversation with Hilke Schellmann, investigative journalist and author of ‘The algorithm” along with her colleague Mona Sloane, Ph.D., is an Assistant Professor of Data Science and Media Studies at the University of Virginia. We discuss Hilke’s book and all the ways things go sideways when people are looking for work in the AI era. Originally aired in season one. Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
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42:13
Accuracy Isn’t Enough
We want accurate AI, right? As long as it’s accurate, we’re all good? My guest, Will Landecker, CEO Accountable Algorithm, explains why accuracy is just one metric among many to aim for. In fact, we have to make tradeoffs across things like accuracy, relevance, and normative (including ethical) considerations in order to get a usable model. We also cover whether explainability is important and whether it’s even on the menu and the risks of multi-agentic AI systems.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
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49:23
Beware of Autonomous Weapons
Should we allow autonomous AI systems? Who is accountable if things go sideways? And how is AI going to transform the future of military work? All this and more with my guest, Rosaria Taddeo, Professor of Digital Ethics and Defense Technologies at the University of Oxford.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
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38:50
How Do We Construct Intelligence?
The Silicon Valley titans talk a lot about intelligence and super intelligence of AI…but what is intelligence, anyway? My guest, former philosopher professor and now Director at Gartner Philip Walsh argues the SV folks are fundamentally confused about what intelligence is. It’s not, he argues, like horsepower, which can be objectively measured. Instead, whether we ascribe intelligence to something is a matter of what we communally agree to ascribe intelligence to. More specifically, we have to collectively agree on the criteria for intelligence and that’s when it makes sense to say “yeah this thing is intelligent.” But we don’t really have a settled collective agreement and that’s why we sort of want to say “this is not intelligence” at the same time we say, “How is this thing so smart?!” I think this is a crucial discussion for anyone who wants to think deeply about what to make of our new quasi/proto/faux intelligent companions.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
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53:59
AI Needs Historians
How can we solve AI’s problems if we don’t understand where they came from? Originally aired in season one.Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy
I have to roll my eyes at the constant click bait headlines on technology and ethics. If we want to get anything done, we need to go deeper. That’s where I come in. I’m Reid Blackman, a former philosophy professor turned AI ethics advisor to government and business. If you’re looking for a podcast that has no tolerance for the superficial, try out Ethical Machines.
UK