Towards Data Science

131 Avsnitt

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

   Publicerades: 2021-02-17
2. 70. Sarah Williams - What does ethical AI even mean?

   Publicerades: 2021-02-10
3. 69. Anders Sandberg - Answering the Fermi Question: Is AI our Great Filter?

   Publicerades: 2021-02-03
4. 68. Silvia Milano - Ethical problems with recommender systems

   Publicerades: 2021-01-27
5. 67. Joaquin Quiñonero-Candela - Responsible AI at Facebook

   Publicerades: 2021-01-20
6. 66. Owain Evans - Predicting the future of AI

   Publicerades: 2021-01-13
7. 65. Helen Toner - The strategic and security implications of AI

   Publicerades: 2021-01-06
8. 64. David Krueger - Managing the incentives of AI

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

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

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

    Publicerades: 2020-12-09
12. 60. Rob Miles - Why should I care about AI safety?

    Publicerades: 2020-12-02
13. 59. Matthew Stewart - Tiny ML and the future of on-device AI

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

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

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

    Publicerades: 2020-11-04
17. 55. Rohin Shah - Effective altruism, AI safety, and learning human preferences from the state of the world

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

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

    Publicerades: 2020-10-08
20. 52. Sanyam Bhutani - Networking like a pro in data science

    Publicerades: 2020-09-23