Towards Data Science

A podcast by The TDS team

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131 Episodio

  1. 91. Peter Gao - Self-driving cars: Past, present and future

    Pubblicato: 07/07/2021
  2. 90. Jeffrey Ding - China’s AI ambitions and why they matter

    Pubblicato: 30/06/2021
  3. 89. Pointing AI in the right direction - A cross-over episode with the Banana Data podcast!

    Pubblicato: 23/06/2021
  4. 88. Oren Etzioni - The case against (worrying about) existential risk from AI

    Pubblicato: 16/06/2021
  5. 87. Evan Hubinger - The Inner Alignment Problem

    Pubblicato: 09/06/2021
  6. 86. Andy Jones - AI Safety and the Scaling Hypothesis

    Pubblicato: 02/06/2021
  7. 85. Brian Christian - The Alignment Problem

    Pubblicato: 26/05/2021
  8. 84. Eliano Marques - The (evolving) world of AI privacy and data security

    Pubblicato: 19/05/2021
  9. 83. Rosie Campbell - Should all AI research be published?

    Pubblicato: 12/05/2021
  10. 82. Jakob Foerster - The high cost of automated weapons

    Pubblicato: 05/05/2021
  11. 81. Nicolas Miailhe - AI risk is a global problem

    Pubblicato: 28/04/2021
  12. 80. Yan Li - The Surprising Challenges of Global AI Philanthropy

    Pubblicato: 21/04/2021
  13. 79. Ryan Carey - What does your AI want?

    Pubblicato: 14/04/2021
  14. 78. Melanie Mitchell - Existential risk from AI: A skeptical perspective

    Pubblicato: 07/04/2021
  15. 77. Josh Fairfield - AI advances, but can the law keep up?

    Pubblicato: 31/03/2021
  16. 76. Stuart Armstrong - AI: Humanity's Endgame?

    Pubblicato: 24/03/2021
  17. 75. Georg Northoff - Consciousness and AI

    Pubblicato: 17/03/2021
  18. 74. Ethan Perez - Making AI safe through debate

    Pubblicato: 10/03/2021
  19. 73. David Roodman - Economic history and the road to the singularity

    Pubblicato: 03/03/2021
  20. 72. Margot Gerritsen - Does AI have to be understandable to be ethical?

    Pubblicato: 24/02/2021

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Note: The TDS podcast's current run has ended. Researchers and business leaders at the forefront of the field unpack the most pressing questions around data science and AI.

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