Towards Data Science
Un pódcast de The TDS team
131 Episodo
-  91. Peter Gao - Self-driving cars: Past, present and futurePublicado: 7/7/2021
-  90. Jeffrey Ding - China’s AI ambitions and why they matterPublicado: 30/6/2021
-  89. Pointing AI in the right direction - A cross-over episode with the Banana Data podcast!Publicado: 23/6/2021
-  88. Oren Etzioni - The case against (worrying about) existential risk from AIPublicado: 16/6/2021
-  87. Evan Hubinger - The Inner Alignment ProblemPublicado: 9/6/2021
-  86. Andy Jones - AI Safety and the Scaling HypothesisPublicado: 2/6/2021
-  85. Brian Christian - The Alignment ProblemPublicado: 26/5/2021
-  84. Eliano Marques - The (evolving) world of AI privacy and data securityPublicado: 19/5/2021
-  83. Rosie Campbell - Should all AI research be published?Publicado: 12/5/2021
-  82. Jakob Foerster - The high cost of automated weaponsPublicado: 5/5/2021
-  81. Nicolas Miailhe - AI risk is a global problemPublicado: 28/4/2021
-  80. Yan Li - The Surprising Challenges of Global AI PhilanthropyPublicado: 21/4/2021
-  79. Ryan Carey - What does your AI want?Publicado: 14/4/2021
-  78. Melanie Mitchell - Existential risk from AI: A skeptical perspectivePublicado: 7/4/2021
-  77. Josh Fairfield - AI advances, but can the law keep up?Publicado: 31/3/2021
-  76. Stuart Armstrong - AI: Humanity's Endgame?Publicado: 24/3/2021
-  75. Georg Northoff - Consciousness and AIPublicado: 17/3/2021
-  74. Ethan Perez - Making AI safe through debatePublicado: 10/3/2021
-  73. David Roodman - Economic history and the road to the singularityPublicado: 3/3/2021
-  72. Margot Gerritsen - Does AI have to be understandable to be ethical?Publicado: 24/2/2021
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.
