Artificiality: Minds Meeting Machines
Un pódcast de Helen and Dave Edwards
97 Episodo
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Michael Bungay Stanier: Staying Curious
Publicado: 13/7/2021 -
Mollie Pettit: Visualizing Data
Publicado: 7/7/2021 -
Josh Lovejoy: Designing AI
Publicado: 29/6/2021 -
Kate O'Neill: Humanizing Tech
Publicado: 21/6/2021 -
Tania Lombrozo: Intuition and data
Publicado: 15/6/2021 -
Steven Sloman: Trusting knowledge
Publicado: 7/6/2021 -
Rana el Kaliouby of Affectiva on emotional AI
Publicado: 9/6/2020 -
Renée Cummings of Urban AI on urban AI
Publicado: 7/6/2020 -
Maria Axente of PWC on ethical AI
Publicado: 21/5/2020 -
Ted Kwartler of DataRobot on trusted AI
Publicado: 12/5/2020 -
Arash Rahnama of Modzy on explainability, fairness and bias in AI
Publicado: 15/4/2020 -
Scott Stephenson of Deepgram on end-to-end deep learning speech recognition
Publicado: 8/4/2020 -
Will Griffin on Hypergiant's ethical framework, Immanuel Kant and how to create ethical AI
Publicado: 1/4/2020 -
Chelsea Barabas on bias and power in AI
Publicado: 25/3/2020 -
Are AI ethicists making any difference?
Publicado: 11/3/2020 -
Another paradox: this time, explainability.
Publicado: 4/3/2020 -
The Paradox of Personalization
Publicado: 7/2/2020
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.
