Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479

Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479

Today we’re joined by Irene Chen, a Ph.D. student at MIT. Irene’s research is focused on developing new machine learning methods specifically for healthcare, through the lens of questions of equity and inclusion. In our conversation, we explore some of the various projects that Irene has worked on, including an early detection program for intimate partner violence. We also discuss how she thinks about the long term implications of predictions in the healthcare domain, how she’s learned to communicate across the interface between the ML researcher and clinician, probabilistic approaches to machine learning for healthcare, and finally, key takeaways for those of you interested in this area of research. The complete show notes for this episode can be found at https://twimlai.com/go/479.

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Pushing Back on AI Hype with Alex Hanna - #649

Pushing Back on AI Hype with Alex Hanna - #649

Today we’re joined by Alex Hanna, the Director of Research at the Distributed AI Research Institute (DAIR). In our conversation with Alex, we discuss the topic of AI hype and the importance of tacklin...

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Personalization for Text-to-Image Generative AI with Nataniel Ruiz - #648

Personalization for Text-to-Image Generative AI with Nataniel Ruiz - #648

Today we’re joined by Nataniel Ruiz, a research scientist at Google. In our conversation with Nataniel, we discuss his recent work around personalization for text-to-image AI models. Specifically, we ...

25 Syys 202344min

Ensuring LLM Safety for Production Applications with Shreya Rajpal - #647

Ensuring LLM Safety for Production Applications with Shreya Rajpal - #647

Today we’re joined by Shreya Rajpal, founder and CEO of Guardrails AI. In our conversation with Shreya, we discuss ensuring the safety and reliability of language models for production applications. W...

18 Syys 202340min

What’s Next in LLM Reasoning? with Roland Memisevic - #646

What’s Next in LLM Reasoning? with Roland Memisevic - #646

Today we’re joined by Roland Memisevic, a senior director at Qualcomm AI Research. In our conversation with Roland, we discuss the significance of language in humanlike AI systems and the advantages a...

11 Syys 202359min

Is ChatGPT Getting Worse? with James Zou - #645

Is ChatGPT Getting Worse? with James Zou - #645

Today we’re joined by James Zou, an assistant professor at Stanford University. In our conversation with James, we explore the differences in ChatGPT’s behavior over the last few months. We discuss th...

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Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644

Why Deep Networks and Brains Learn Similar Features with Sophia Sanborn - #644

Today we’re joined by Sophia Sanborn, a postdoctoral scholar at the University of California, Santa Barbara. In our conversation with Sophia, we explore the concept of universality between neural repr...

28 Elo 202345min

Inverse Reinforcement Learning Without RL with Gokul Swamy - #643

Inverse Reinforcement Learning Without RL with Gokul Swamy - #643

Today we’re joined by Gokul Swamy, a Ph.D. Student at the Robotics Institute at Carnegie Mellon University. In the final conversation of our ICML 2023 series, we sat down with Gokul to discuss his acc...

21 Elo 202333min

Explainable AI for Biology and Medicine with Su-In Lee - #642

Explainable AI for Biology and Medicine with Su-In Lee - #642

Today we’re joined by Su-In Lee, a professor at the Paul G. Allen School of Computer Science And Engineering at the University Of Washington. In our conversation, Su-In details her talk from the ICML ...

14 Elo 202338min

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