Artificiality: Being with AI
A podcast by Helen and Dave Edwards
99 Episoade
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Stephen Fleming: Metacognition
Publicat: 12.12.2021 -
Jevin West: Making Sense of Data
Publicat: 23.07.2021 -
Michael Bungay Stanier: Staying Curious
Publicat: 13.07.2021 -
Mollie Pettit: Visualizing Data
Publicat: 07.07.2021 -
Josh Lovejoy: Designing AI
Publicat: 29.06.2021 -
Kate O'Neill: Humanizing Tech
Publicat: 21.06.2021 -
Tania Lombrozo: Intuition and data
Publicat: 15.06.2021 -
Steven Sloman: Trusting knowledge
Publicat: 07.06.2021 -
Rana el Kaliouby of Affectiva on emotional AI
Publicat: 09.06.2020 -
Renée Cummings of Urban AI on urban AI
Publicat: 07.06.2020 -
Maria Axente of PWC on ethical AI
Publicat: 21.05.2020 -
Ted Kwartler of DataRobot on trusted AI
Publicat: 12.05.2020 -
Arash Rahnama of Modzy on explainability, fairness and bias in AI
Publicat: 15.04.2020 -
Scott Stephenson of Deepgram on end-to-end deep learning speech recognition
Publicat: 08.04.2020 -
Will Griffin on Hypergiant's ethical framework, Immanuel Kant and how to create ethical AI
Publicat: 01.04.2020 -
Chelsea Barabas on bias and power in AI
Publicat: 25.03.2020 -
Are AI ethicists making any difference?
Publicat: 11.03.2020 -
Another paradox: this time, explainability.
Publicat: 04.03.2020 -
The Paradox of Personalization
Publicat: 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.
