Artificiality: Being with AI
A podcast by Helen and Dave Edwards
99 Episodes
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Stephen Fleming: Metacognition
Published: 12/12/2021 -
Jevin West: Making Sense of Data
Published: 23/07/2021 -
Michael Bungay Stanier: Staying Curious
Published: 13/07/2021 -
Mollie Pettit: Visualizing Data
Published: 07/07/2021 -
Josh Lovejoy: Designing AI
Published: 29/06/2021 -
Kate O'Neill: Humanizing Tech
Published: 21/06/2021 -
Tania Lombrozo: Intuition and data
Published: 15/06/2021 -
Steven Sloman: Trusting knowledge
Published: 07/06/2021 -
Rana el Kaliouby of Affectiva on emotional AI
Published: 09/06/2020 -
Renée Cummings of Urban AI on urban AI
Published: 07/06/2020 -
Maria Axente of PWC on ethical AI
Published: 21/05/2020 -
Ted Kwartler of DataRobot on trusted AI
Published: 12/05/2020 -
Arash Rahnama of Modzy on explainability, fairness and bias in AI
Published: 15/04/2020 -
Scott Stephenson of Deepgram on end-to-end deep learning speech recognition
Published: 08/04/2020 -
Will Griffin on Hypergiant's ethical framework, Immanuel Kant and how to create ethical AI
Published: 01/04/2020 -
Chelsea Barabas on bias and power in AI
Published: 25/03/2020 -
Are AI ethicists making any difference?
Published: 11/03/2020 -
Another paradox: this time, explainability.
Published: 04/03/2020 -
The Paradox of Personalization
Published: 07/02/2020
Artificiality was founded in 2019 to help people make sense of artificial intelligence. We are artificial philosophers and meta-researchers. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We publish essays, podcasts, and research on AI including a Pro membership, providing advanced research to leaders with actionable intelligence and insights for applying AI. Learn more at www.artificiality.world.
