Human & machine intuition
Introducing the new Artificiality podcast series
The Artificiality podcast is back with a new focus: understanding the emerging community that is humans and machines. If you want to learn about how humans work with AI and big data, but you’re not sure where to start, this podcast is for you. We take the latest from the human side—decision science, psychology and design—and put it together with advances in artificial intelligence and big data so that you can understand how to work better with machines. And your fellow humans. We ask, how do we improve our learning and decision making when machines are part of our community? How can we develop an intuition for how a machine thinks and what it knows? How can we use machines to help us work better with others?
We founded Sonder Studio to help people be more human in the age of AI. We’re on this learning journey too so we strive to find the frontiers, to ask the best questions and stay curious. This season we interview some of the top minds working at the intersection of humans and machines and make sure we have a few laughs along the way.
We will be releasing episodes of the coming weeks and here’s what to look forward to:
Steven Sloman, Professor of Cognitive, Linguistic and Psychological Sciences at Brown University and co-author of The Knowledge Illusion, on how knowledge being derived from our community affects our experience in the world. Are machines part of our community?
Tania Lombrozo, Arthur W. Marks ’19 Professor of Psychology and director of the Concepts & Cognition Lab at Princeton University, on why humans love to use intuition even when surrounded by data and when even simple algorithms can be more accurate than human judgment.
Josh Lovejoy, Head of Design for Ethics & Society at Microsoft, on what’s different about making decisions with machines and why is human-centered design so important when working with AI.
Kate O’Neill, founder of KO Insights and author of the Tech Humanist, on what it means to be a humanist in the age of technology. How can we put human values into a machine? How can we even know what those human values are?
Mollie Petit, Data Visualization Developer at Observable, on what matters in modern visualization when it’s all about big data and helping people understand uncertainty.
Michael Bungay Stanier, founder of MBS Works and author of the best-selling The Coaching Habit and The Advice Trap, on what makes people different from machines. Well one thing is curiosity, which is something that drives humans but not machines.
Jevin West, Professor in the Information School at the University of Washington, co-founder of the DataLab, director of the Center for the Informed Public and co-author of Calling Bullshit, on what it means to be data literate in a world of big data and AI. Now that so many decisions rely on information that is only readable by machine and our statistical intuitions, which were bad before, are now practically useless, what is data literacy in the age of AI and how important is it?
As a subscriber you will get an email when a new episode is released and you can listen on your favorite podcast platform. We’d love to hear from you at firstname.lastname@example.org or email@example.com and hope you’ll enjoy this series.