Artificiality: Being with AI
En podkast av Helen and Dave Edwards
99 Episoder
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Stephen Fleming: Metacognition
Publisert: 12.12.2021 -
Jevin West: Making Sense of Data
Publisert: 23.7.2021 -
Michael Bungay Stanier: Staying Curious
Publisert: 13.7.2021 -
Mollie Pettit: Visualizing Data
Publisert: 7.7.2021 -
Josh Lovejoy: Designing AI
Publisert: 29.6.2021 -
Kate O'Neill: Humanizing Tech
Publisert: 21.6.2021 -
Tania Lombrozo: Intuition and data
Publisert: 15.6.2021 -
Steven Sloman: Trusting knowledge
Publisert: 7.6.2021 -
Rana el Kaliouby of Affectiva on emotional AI
Publisert: 9.6.2020 -
Renée Cummings of Urban AI on urban AI
Publisert: 7.6.2020 -
Maria Axente of PWC on ethical AI
Publisert: 21.5.2020 -
Ted Kwartler of DataRobot on trusted AI
Publisert: 12.5.2020 -
Arash Rahnama of Modzy on explainability, fairness and bias in AI
Publisert: 15.4.2020 -
Scott Stephenson of Deepgram on end-to-end deep learning speech recognition
Publisert: 8.4.2020 -
Will Griffin on Hypergiant's ethical framework, Immanuel Kant and how to create ethical AI
Publisert: 1.4.2020 -
Chelsea Barabas on bias and power in AI
Publisert: 25.3.2020 -
Are AI ethicists making any difference?
Publisert: 11.3.2020 -
Another paradox: this time, explainability.
Publisert: 4.3.2020 -
The Paradox of Personalization
Publisert: 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.
