Artificiality: Being with AI
En podcast av Helen and Dave Edwards
98 Avsnitt
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Jevin West: Making Sense of Data
Publicerades: 2021-07-23 -
Michael Bungay Stanier: Staying Curious
Publicerades: 2021-07-13 -
Mollie Pettit: Visualizing Data
Publicerades: 2021-07-07 -
Josh Lovejoy: Designing AI
Publicerades: 2021-06-29 -
Kate O'Neill: Humanizing Tech
Publicerades: 2021-06-21 -
Tania Lombrozo: Intuition and data
Publicerades: 2021-06-15 -
Steven Sloman: Trusting knowledge
Publicerades: 2021-06-07 -
Rana el Kaliouby of Affectiva on emotional AI
Publicerades: 2020-06-09 -
Renée Cummings of Urban AI on urban AI
Publicerades: 2020-06-07 -
Maria Axente of PWC on ethical AI
Publicerades: 2020-05-21 -
Ted Kwartler of DataRobot on trusted AI
Publicerades: 2020-05-12 -
Arash Rahnama of Modzy on explainability, fairness and bias in AI
Publicerades: 2020-04-15 -
Scott Stephenson of Deepgram on end-to-end deep learning speech recognition
Publicerades: 2020-04-08 -
Will Griffin on Hypergiant's ethical framework, Immanuel Kant and how to create ethical AI
Publicerades: 2020-04-01 -
Chelsea Barabas on bias and power in AI
Publicerades: 2020-03-25 -
Are AI ethicists making any difference?
Publicerades: 2020-03-11 -
Another paradox: this time, explainability.
Publicerades: 2020-03-04 -
The Paradox of Personalization
Publicerades: 2020-02-07
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.
