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Towards Data Science

En podcast av: The TDS team

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

Our American listeners can also listen to Towards Data Science at our American site

131 Avsnitt

131. Jeremie Harris - TDS Podcast Finale: The future of AI, and the risks that come with it
Publicerades 2022-10-19

130. Edouard Harris - New Research: Advanced AI may tend to seek power *by default*
Publicerades 2022-10-12
129. Amber Teng - Building apps with a new generation of language models
Publicerades 2022-10-05
128. David Hirko - AI observability and data as a cybersecurity weakness
Publicerades 2022-09-28
127. Matthew Stewart - The emerging world of ML sensors
Publicerades 2022-09-21
126. JR King - Does the brain run on deep learning?
Publicerades 2022-09-14
125. Ryan Fedasiuk - Can the U.S. and China collaborate on AI safety?
Publicerades 2022-09-07
124. Alex Watson - Synthetic data could change everything
Publicerades 2022-05-18
123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually might just make sense)
Publicerades 2022-05-12
122. Sadie St. Lawrence - Trends in data science
Publicerades 2022-05-04
121. Alexei Baevski - data2vec and the future of multimodal learning
Publicerades 2022-04-27
120. Liam Fedus and Barrett Zoph - AI scaling with mixture of expert models
Publicerades 2022-04-20
119. Jaime Sevilla - Projecting AI progress from compute trends
Publicerades 2022-04-13
118. Angela Fan - Generating Wikipedia articles with AI
Publicerades 2022-04-06
117. Beena Ammanath - Defining trustworthy AI
Publicerades 2022-03-30
116. Katya Sedova - AI-powered disinformation, present and future
Publicerades 2022-03-23
115. Irina Rish - Out-of-distribution generalization
Publicerades 2022-03-09
114. Sam Bowman - Are we *under-hyping* AI?
Publicerades 2022-03-02
113. Yaron Singer - Catching edge cases in AI
Publicerades 2022-02-09
112. Tali Raveh - AI, single cell genomics, and the new era of computational biology
Publicerades 2022-02-02
111. Mo Gawdat - Scary Smart: A former Google exec’s perspective on AI risk
Publicerades 2022-01-26
110. Alex Turner - Will powerful AIs tend to seek power?
Publicerades 2022-01-19
109. Danijar Hafner - Gaming our way to AGI
Publicerades 2022-01-12
108. Last Week In AI — 2021: The (full) year in review
Publicerades 2022-01-05
107. Kevin Hu - Data observability and why it matters
Publicerades 2021-12-15
106. Yang Gao - Sample-efficient AI
Publicerades 2021-12-08
105. Yannic Kilcher - A 10,000-foot view of AI
Publicerades 2021-12-01
104. Ken Stanley - AI without objectives
Publicerades 2021-11-24
103. Gillian Hadfield - How to create explainable AI regulations that actually make sense
Publicerades 2021-11-17
102. Wendy Foster - AI ethics as a user experience challenge
Publicerades 2021-11-10
101. Ayanna Howard - AI and the trust problem
Publicerades 2021-11-03
100. Max Jaderberg - Open-ended learning at DeepMind
Publicerades 2021-10-27
99. Margaret Mitchell - (Practical) AI ethics
Publicerades 2021-10-20
98. Mike Tung - Are knowledge graphs AI’s next big thing?
Publicerades 2021-10-13
97. Anthony Habayeb - The present and future of AI regulation
Publicerades 2021-10-06
96. Jan Leike - AI alignment at OpenAI
Publicerades 2021-09-29
95. Francesca Rossi - Thinking, fast and slow: AI edition
Publicerades 2021-09-22
94. Divya Siddarth - Are we thinking about AI wrong?
Publicerades 2021-07-28
93. 2021: A year in AI (so far) - Reviewing the biggest AI stories of 2021 with our friends at the Let’s Talk AI podcast
Publicerades 2021-07-21
92. Daniel Filan - Peering into neural nets for AI safety
Publicerades 2021-07-14
91. Peter Gao - Self-driving cars: Past, present and future
Publicerades 2021-07-07
90. Jeffrey Ding - China’s AI ambitions and why they matter
Publicerades 2021-06-30
89. Pointing AI in the right direction - A cross-over episode with the Banana Data podcast!
Publicerades 2021-06-23
88. Oren Etzioni - The case against (worrying about) existential risk from AI
Publicerades 2021-06-16
87. Evan Hubinger - The Inner Alignment Problem
Publicerades 2021-06-09
86. Andy Jones - AI Safety and the Scaling Hypothesis
Publicerades 2021-06-02
85. Brian Christian - The Alignment Problem
Publicerades 2021-05-26
84. Eliano Marques - The (evolving) world of AI privacy and data security
Publicerades 2021-05-19
83. Rosie Campbell - Should all AI research be published?
Publicerades 2021-05-12
82. Jakob Foerster - The high cost of automated weapons
Publicerades 2021-05-05
81. Nicolas Miailhe - AI risk is a global problem
Publicerades 2021-04-28
80. Yan Li - The Surprising Challenges of Global AI Philanthropy
Publicerades 2021-04-21
79. Ryan Carey - What does your AI want?
Publicerades 2021-04-14
78. Melanie Mitchell - Existential risk from AI: A skeptical perspective
Publicerades 2021-04-07
77. Josh Fairfield - AI advances, but can the law keep up?
Publicerades 2021-03-31
76. Stuart Armstrong - AI: Humanity's Endgame?
Publicerades 2021-03-24
75. Georg Northoff - Consciousness and AI
Publicerades 2021-03-17
74. Ethan Perez - Making AI safe through debate
Publicerades 2021-03-10
73. David Roodman - Economic history and the road to the singularity
Publicerades 2021-03-03
72. Margot Gerritsen - Does AI have to be understandable to be ethical?
Publicerades 2021-02-24
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.

131 Avsnitt

131. Jeremie Harris - TDS Podcast Finale: The future of AI, and the risks that come with it

130. Edouard Harris - New Research: Advanced AI may tend to seek power *by default*

129. Amber Teng - Building apps with a new generation of language models

128. David Hirko - AI observability and data as a cybersecurity weakness

127. Matthew Stewart - The emerging world of ML sensors

126. JR King - Does the brain run on deep learning?

125. Ryan Fedasiuk - Can the U.S. and China collaborate on AI safety?

124. Alex Watson - Synthetic data could change everything

123. Ala Shaabana and Jacob Steeves - AI on the blockchain (it actually might just make sense)

122. Sadie St. Lawrence - Trends in data science

121. Alexei Baevski - data2vec and the future of multimodal learning

120. Liam Fedus and Barrett Zoph - AI scaling with mixture of expert models

119. Jaime Sevilla - Projecting AI progress from compute trends

118. Angela Fan - Generating Wikipedia articles with AI

117. Beena Ammanath - Defining trustworthy AI

116. Katya Sedova - AI-powered disinformation, present and future

115. Irina Rish - Out-of-distribution generalization

114. Sam Bowman - Are we *under-hyping* AI?

113. Yaron Singer - Catching edge cases in AI

112. Tali Raveh - AI, single cell genomics, and the new era of computational biology

111. Mo Gawdat - Scary Smart: A former Google exec’s perspective on AI risk

110. Alex Turner - Will powerful AIs tend to seek power?

109. Danijar Hafner - Gaming our way to AGI

108. Last Week In AI — 2021: The (full) year in review

107. Kevin Hu - Data observability and why it matters

106. Yang Gao - Sample-efficient AI

105. Yannic Kilcher - A 10,000-foot view of AI

104. Ken Stanley - AI without objectives

103. Gillian Hadfield - How to create explainable AI regulations that actually make sense

102. Wendy Foster - AI ethics as a user experience challenge

101. Ayanna Howard - AI and the trust problem

100. Max Jaderberg - Open-ended learning at DeepMind

99. Margaret Mitchell - (Practical) AI ethics

98. Mike Tung - Are knowledge graphs AI’s next big thing?

97. Anthony Habayeb - The present and future of AI regulation

96. Jan Leike - AI alignment at OpenAI

95. Francesca Rossi - Thinking, fast and slow: AI edition

94. Divya Siddarth - Are we thinking about AI wrong?

93. 2021: A year in AI (so far) - Reviewing the biggest AI stories of 2021 with our friends at the Let’s Talk AI podcast

92. Daniel Filan - Peering into neural nets for AI safety

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

90. Jeffrey Ding - China’s AI ambitions and why they matter

89. Pointing AI in the right direction - A cross-over episode with the Banana Data podcast!

88. Oren Etzioni - The case against (worrying about) existential risk from AI

87. Evan Hubinger - The Inner Alignment Problem

86. Andy Jones - AI Safety and the Scaling Hypothesis

85. Brian Christian - The Alignment Problem

84. Eliano Marques - The (evolving) world of AI privacy and data security

83. Rosie Campbell - Should all AI research be published?

82. Jakob Foerster - The high cost of automated weapons

81. Nicolas Miailhe - AI risk is a global problem

80. Yan Li - The Surprising Challenges of Global AI Philanthropy

79. Ryan Carey - What does your AI want?

78. Melanie Mitchell - Existential risk from AI: A skeptical perspective

77. Josh Fairfield - AI advances, but can the law keep up?

76. Stuart Armstrong - AI: Humanity's Endgame?

75. Georg Northoff - Consciousness and AI

74. Ethan Perez - Making AI safe through debate

73. David Roodman - Economic history and the road to the singularity

72. Margot Gerritsen - Does AI have to be understandable to be ethical?

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

70. Sarah Williams - What does ethical AI even mean?

69. Anders Sandberg - Answering the Fermi Question: Is AI our Great Filter?

68. Silvia Milano - Ethical problems with recommender systems

67. Joaquin Quiñonero-Candela - Responsible AI at Facebook

66. Owain Evans - Predicting the future of AI

65. Helen Toner - The strategic and security implications of AI

64. David Krueger - Managing the incentives of AI

63. Geordie Rose - Will AGI need to be embodied?

62. Nicolai Baldin - AI meets the law: Bias, fairness, privacy and regulation

61. Ben Goertzel - The unorthodox path to AGI

60. Rob Miles - Why should I care about AI safety?

59. Matthew Stewart - Tiny ML and the future of on-device AI

58. David Duvenaud - Using generative models for explainable AI

57. Dylan Hadfield-Menell - Humans in the loop

56. Annette Zimmermann - The ethics of AI

55. Rohin Shah - Effective altruism, AI safety, and learning human preferences from the state of the world

54. Tim Rocktäschel - Deep reinforcement learning, symbolic learning and the road to AGI

53. Edouard Harris - Emerging problems in machine learning: making AI "good"

130. Edouard Harris - New Research: Advanced AI may tend to seek power by default

114. Sam Bowman - Are we under-hyping AI?