Towards Data Science
En podcast av The TDS team
131 Avsnitt
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71. Ben Garfinkel - Superhuman AI and the future of democracy and government
Publicerades: 2021-02-17 -
70. Sarah Williams - What does ethical AI even mean?
Publicerades: 2021-02-10 -
69. Anders Sandberg - Answering the Fermi Question: Is AI our Great Filter?
Publicerades: 2021-02-03 -
68. Silvia Milano - Ethical problems with recommender systems
Publicerades: 2021-01-27 -
67. Joaquin Quiñonero-Candela - Responsible AI at Facebook
Publicerades: 2021-01-20 -
66. Owain Evans - Predicting the future of AI
Publicerades: 2021-01-13 -
65. Helen Toner - The strategic and security implications of AI
Publicerades: 2021-01-06 -
64. David Krueger - Managing the incentives of AI
Publicerades: 2020-12-30 -
63. Geordie Rose - Will AGI need to be embodied?
Publicerades: 2020-12-23 -
62. Nicolai Baldin - AI meets the law: Bias, fairness, privacy and regulation
Publicerades: 2020-12-16 -
61. Ben Goertzel - The unorthodox path to AGI
Publicerades: 2020-12-09 -
60. Rob Miles - Why should I care about AI safety?
Publicerades: 2020-12-02 -
59. Matthew Stewart - Tiny ML and the future of on-device AI
Publicerades: 2020-11-25 -
58. David Duvenaud - Using generative models for explainable AI
Publicerades: 2020-11-18 -
57. Dylan Hadfield-Menell - Humans in the loop
Publicerades: 2020-11-11 -
56. Annette Zimmermann - The ethics of AI
Publicerades: 2020-11-04 -
55. Rohin Shah - Effective altruism, AI safety, and learning human preferences from the state of the world
Publicerades: 2020-10-28 -
54. Tim Rocktäschel - Deep reinforcement learning, symbolic learning and the road to AGI
Publicerades: 2020-10-15 -
53. Edouard Harris - Emerging problems in machine learning: making AI "good"
Publicerades: 2020-10-08 -
52. Sanyam Bhutani - Networking like a pro in data science
Publicerades: 2020-09-23
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.
