Towards Data Science

131 Episodes

1. 71. Ben Garfinkel - Superhuman AI and the future of democracy and government

   Published: 2/17/2021
2. 70. Sarah Williams - What does ethical AI even mean?

   Published: 2/10/2021
3. 69. Anders Sandberg - Answering the Fermi Question: Is AI our Great Filter?

   Published: 2/3/2021
4. 68. Silvia Milano - Ethical problems with recommender systems

   Published: 1/27/2021
5. 67. Joaquin Quiñonero-Candela - Responsible AI at Facebook

   Published: 1/20/2021
6. 66. Owain Evans - Predicting the future of AI

   Published: 1/13/2021
7. 65. Helen Toner - The strategic and security implications of AI

   Published: 1/6/2021
8. 64. David Krueger - Managing the incentives of AI

   Published: 12/30/2020
9. 63. Geordie Rose - Will AGI need to be embodied?

   Published: 12/23/2020
10. 62. Nicolai Baldin - AI meets the law: Bias, fairness, privacy and regulation

    Published: 12/16/2020
11. 61. Ben Goertzel - The unorthodox path to AGI

    Published: 12/9/2020
12. 60. Rob Miles - Why should I care about AI safety?

    Published: 12/2/2020
13. 59. Matthew Stewart - Tiny ML and the future of on-device AI

    Published: 11/25/2020
14. 58. David Duvenaud - Using generative models for explainable AI

    Published: 11/18/2020
15. 57. Dylan Hadfield-Menell - Humans in the loop

    Published: 11/11/2020
16. 56. Annette Zimmermann - The ethics of AI

    Published: 11/4/2020
17. 55. Rohin Shah - Effective altruism, AI safety, and learning human preferences from the state of the world

    Published: 10/28/2020
18. 54. Tim Rocktäschel - Deep reinforcement learning, symbolic learning and the road to AGI

    Published: 10/15/2020
19. 53. Edouard Harris - Emerging problems in machine learning: making AI "good"

    Published: 10/8/2020
20. 52. Sanyam Bhutani - Networking like a pro in data science

    Published: 9/23/2020