Artificial Intelligence and You
Technology
This and all episodes at: https://aiandyou.net/ .
Never mind fantasies about Skynet and Terminators; how to trust AI is a real issue right now, as AI is used in life-impacting decisions like medical diagnoses and loan granting. Kush Varshney has a PhD from MIT and is a distinguished researcher at IBM’s Thomas J. Watson Research Center in New York, where he leads the machine learning group in the Foundations of Trustworthy AI department. He is the author of the book Trustworthy Machine Learning. We talk about the whole ecosystem of trustworthiness, finding out where it goes in areas like privacy, anonymization, regulation, compliance, and oversight.
All this plus our usual look at today's AI headlines.
Transcript and URLs referenced at HumanCusp Blog.
130 - Guest: Handel Jones, Sino-American AI Strategist, part 1
129 - Guest: Jonathan Bowen, Professor and Alan Turing expert, part 2
128 - Guest: Jonathan Bowen, Professor and Alan Turing expert, part 1
127 - Guest: Mark van Rijmenam, Future Tech Strategist, part 2
126 - Guest: Mark van Rijmenam, Future Tech Strategist, part 1
125 - Guest: Mark Lee, Professor of Intelligent Systems, part 2
124 - Guest: Mark Lee, Professor of Intelligent Systems, part1
123 - Guest: Dan Turchin, Employee Service AI CEO, part 2
122 - Guest: Dan Turchin, Employee Service AI CEO, part 1
121 - Guest: Paul Newman, Vehicle Autonomy CTO, part 2
120 - Guest: Paul Newman, Vehicle Autonomy CTO, part 1
119 - Guest: Robbie Stamp, Historian Philosopher, part 2
118 - Guest: Robbie Stamp, Historian Philosopher, part 1
117 - Guest: Chris Summerfield, Cognitive Scientist at Oxford and DeepMind, part 2
116 - Guest: Chris Summerfield, Cognitive Scientist at Oxford and DeepMind, part 1
115 - Guest: Chanuki Seresinhe, BeautifulPlaces.ai Founder
114 - Guest: James Wilson, Gartner Leadership Partner
113 - Guest: Justin Harrison, Virtual Persona Creator
112 - Guest: Cansu Canca, Applied AI Ethics Philosopher, part 2
111 - Guest: Cansu Canca, Applied AI Ethics Philosopher, part 1
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