PODCAST · education
Humans, Data and Machines
In our automated lives, we generate and interact with unprecedented amounts of data. This sea of information is constantly searched, catalogued, analyzed and referenced by machines with the ability to uncover patterns unseen by their human creators. These new insights have far reaching implications for our society. From our everyday presence online, to scientists sequencing billions of genes or cataloging billions of stars, to cars that drive themselves – this series of six lectures will explore how the confluence of humans, data and machines extends beyond science – raising new philosophical and ethical questions.
Episodes
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Machine Influencers and Decision Makers
Jane Bambauer, Professor of Law, University of Arizona James E. Rogers College of Law Machine learning is shaping human lives in both obvious and subtle ways. Important economic and legal decisions about credit, employment, and criminal justice are already made with the aid of complex algorithms,...
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There is No Such Thing as Big Data
Vincent J. Del Casino Jr., Vice President, Academic Initiatives and Student Success, Professor, School of Geography and Development, University of Arizona This talk challenges the notion that “big data” are what people believe they are – large, singular inanimate manifestations of our proxy…
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What Humans do that Machines Cannot
Luis von Ahn, CEO and Co-Founder, Duolingo, Professor of Computer Science, Carnegie Mellon University This talk is about harnessing human time and energy to address problems that computers cannot yet solve. Although computers have advanced dramatically in many respects over the last 50 years…
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Working Alongside Thinking Machines
Nirav Merchant, Director Data Science Institute, Data7, University of Arizona Machine learning (ML) based systems are rapidly becoming pervasive, powering many applications from recommending music, movies and merchandise to driving our cars to assisting in medical diagnoses. Our daily…
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The Minds of Machines
Mihai Surdeanu, Associate Professor of Computer Science, University of Arizona We are inundated daily with news about artificial intelligence (AI) achieving tremendous results, e.g., defeating human champions at Go, driving better than us, etc. But does this mean that we are approaching the...
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Problem Solving with Algorithms
Stephen Kobourov, Professor of Computer Science, University of Arizona The idea of computation and algorithms is old, but modern day computers are a relatively new phenomenon. Even more recent are the notions of artificial intelligence (AI), machine learning (ML) and big data. While it is…
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ABOUT THIS SHOW
In our automated lives, we generate and interact with unprecedented amounts of data. This sea of information is constantly searched, catalogued, analyzed and referenced by machines with the ability to uncover patterns unseen by their human creators. These new insights have far reaching implications for our society. From our everyday presence online, to scientists sequencing billions of genes or cataloging billions of stars, to cars that drive themselves – this series of six lectures will explore how the confluence of humans, data and machines extends beyond science – raising new philosophical and ethical questions.
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Frequently Asked Questions
How many episodes does Humans, Data and Machines have?
Humans, Data and Machines currently has 6 episodes available on PodParley. New episodes are automatically indexed when they're published to the podcast feed.
What is Humans, Data and Machines about?
In our automated lives, we generate and interact with unprecedented amounts of data. This sea of information is constantly searched, catalogued, analyzed and referenced by machines with the ability to uncover patterns unseen by their human creators. These new insights have far reaching implications...
How often does Humans, Data and Machines release new episodes?
Humans, Data and Machines has 6 episodes. Check the episode list to see recent publication dates and frequency.
Where can I listen to Humans, Data and Machines?
You can listen to Humans, Data and Machines on PodParley by clicking any episode. We provide an embedded audio player for direct listening, and you can also subscribe via your preferred podcast app using the RSS feed.
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