97 Episodio

  1. Michael Bungay Stanier: Staying Curious

    Pubblicato: 13/07/2021
  2. Mollie Pettit: Visualizing Data

    Pubblicato: 07/07/2021
  3. Josh Lovejoy: Designing AI

    Pubblicato: 29/06/2021
  4. Kate O'Neill: Humanizing Tech

    Pubblicato: 21/06/2021
  5. Tania Lombrozo: Intuition and data

    Pubblicato: 15/06/2021
  6. Steven Sloman: Trusting knowledge

    Pubblicato: 07/06/2021
  7. Rana el Kaliouby of Affectiva on emotional AI

    Pubblicato: 09/06/2020
  8. Renée Cummings of Urban AI on urban AI

    Pubblicato: 07/06/2020
  9. Maria Axente of PWC on ethical AI

    Pubblicato: 21/05/2020
  10. Ted Kwartler of DataRobot on trusted AI

    Pubblicato: 12/05/2020
  11. Arash Rahnama of Modzy on explainability, fairness and bias in AI

    Pubblicato: 15/04/2020
  12. Scott Stephenson of Deepgram on end-to-end deep learning speech recognition

    Pubblicato: 08/04/2020
  13. Will Griffin on Hypergiant's ethical framework, Immanuel Kant and how to create ethical AI

    Pubblicato: 01/04/2020
  14. Chelsea Barabas on bias and power in AI

    Pubblicato: 25/03/2020
  15. Are AI ethicists making any difference?

    Pubblicato: 11/03/2020
  16. Another paradox: this time, explainability.

    Pubblicato: 04/03/2020
  17. The Paradox of Personalization

    Pubblicato: 07/02/2020

5 / 5

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.

Visit the podcast's native language site