The Ethics of AI-Enabled Surveillance with Karen Levy - TWIML Talk #274

The Ethics of AI-Enabled Surveillance with Karen Levy - TWIML Talk #274

Today we’re joined by Karen Levy, assistant professor in the department of information science at Cornell University. Karen’s research focuses on how rules and technologies interact to regulate behavior, especially the legal, organizational, and social aspects of surveillance and monitoring. In our conversation, we discuss how data tracking and surveillance can be used in ways that can be abusive to various marginalized groups, including detailing her extensive research into truck driver surveillance.

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Applications of Variational Autoencoders and Bayesian Optimization with José Miguel Hernández Lobato - #510

Applications of Variational Autoencoders and Bayesian Optimization with José Miguel Hernández Lobato - #510

Today we’re joined by José Miguel Hernández-Lobato, a university lecturer in machine learning at the University of Cambridge. In our conversation with Miguel, we explore his work at the intersection o...

16 Aug 202142min

Codex, OpenAI’s Automated Code Generation API with Greg Brockman - #509

Codex, OpenAI’s Automated Code Generation API with Greg Brockman - #509

Today we’re joined by return guest Greg Brockman, co-founder and CTO of OpenAI. We had the pleasure of reconnecting with Greg on the heels of the announcement of Codex, OpenAI’s most recent release. C...

12 Aug 202147min

Spatiotemporal Data Analysis with Rose Yu - #508

Spatiotemporal Data Analysis with Rose Yu - #508

Today we’re joined by Rose Yu, an assistant professor at the Jacobs School of Engineering at UC San Diego.  Rose’s research focuses on advancing machine learning algorithms and methods for analyzing ...

9 Aug 202132min

Parallelism and Acceleration for Large Language Models with Bryan Catanzaro - #507

Parallelism and Acceleration for Large Language Models with Bryan Catanzaro - #507

Today we’re joined by Bryan Catanzaro, vice president of applied deep learning research at NVIDIA. Most folks know Bryan as one of the founders/creators of cuDNN, the accelerated library for deep neu...

5 Aug 202150min

Applying the Causal Roadmap to Optimal Dynamic Treatment Rules with Lina Montoya - #506

Applying the Causal Roadmap to Optimal Dynamic Treatment Rules with Lina Montoya - #506

Today we close out our 2021 ICML series joined by Lina Montoya, a postdoctoral researcher at UNC Chapel Hill.  In our conversation with Lina, who was an invited speaker at the Neglected Assumptions in...

2 Aug 202154min

Constraint Active Search for Human-in-the-Loop Optimization with Gustavo Malkomes - #505

Constraint Active Search for Human-in-the-Loop Optimization with Gustavo Malkomes - #505

Today we continue our ICML series joined by Gustavo Malkomes, a research engineer at Intel via their recent acquisition of SigOpt.  In our conversation with Gustavo, we explore his paper Beyond the P...

29 Juli 202150min

Fairness and Robustness in Federated Learning with Virginia Smith -#504

Fairness and Robustness in Federated Learning with Virginia Smith -#504

Today we kick off our ICML coverage joined by Virginia Smith, an assistant professor in the Machine Learning Department at Carnegie Mellon University.  In our conversation with Virginia, we explore he...

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Scaling AI at H&M Group with Errol Koolmeister - #503

Scaling AI at H&M Group with Errol Koolmeister - #503

Today we’re joined by Errol Koolmeister, the head of AI foundation at H&M Group. In our conversation with Errol, we explore H&M’s AI journey, including its wide adoption across the company in 2016, an...

22 Juli 202141min

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