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Research#llm📝 BlogAnalyzed: Dec 29, 2025 08:07

Trends in Machine Learning & Deep Learning with Zack Lipton - #334

Published:Dec 30, 2019 19:23
1 min read
Practical AI

Analysis

This article from Practical AI provides a recap of Machine Learning and Deep Learning advancements in 2019, featuring Zack Lipton, a professor at CMU. The focus is on trends, tools, and research papers within these fields. The article references a previous discussion with Lipton on "Fairwashing" and ML Solutionism, suggesting a focus on ethical considerations and critical analysis of AI applications. The call to action encourages audience participation through comments and social media, fostering engagement and discussion about the year's developments.
Reference

In today's conversation, Zack recaps advancements across the vast fields of Machine Learning and Deep Learning, including trends, tools, research papers and more.

Research#AI Ethics📝 BlogAnalyzed: Dec 29, 2025 08:12

"Fairwashing" and the Folly of ML Solutionism with Zachary Lipton - TWIML Talk #285

Published:Jul 25, 2019 15:47
1 min read
Practical AI

Analysis

This article summarizes a podcast episode featuring Zachary Lipton, discussing machine learning in healthcare and related ethical considerations. The focus is on data interpretation, supervised learning, robustness, and the concept of "fairwashing." The discussion likely centers on the practical challenges of deploying ML in sensitive domains like medicine, highlighting the importance of addressing biases, distribution shifts, and ethical implications. The title suggests a critical perspective on the oversimplification of complex problems through ML solutions, particularly concerning fairness and transparency.
Reference

The article doesn't contain a direct quote, but the discussion likely revolves around the challenges of applying ML in healthcare and the ethical considerations of 'fairwashing'.