Privacy, Utility, and Ethical Considerations in Machine Learning

Meta's Senior Research Director, Dr. Laurens van der Maaten, takes center stage to unravel the captivating realm of AI innovation. Learn about his groundbreaking contributions, including pioneering the t-SNE dimensionality reduction technique and harnessing AI for novel protein synthesis, climate change mitigation, and wearable materials simulation. Join us to explore the transformative power of AI across diverse domains and gain a glimpse into its future societal implications.

This episode is brought to you by AWS Inferentia, by Modelbit, for deploying models in seconds, and by Grafbase, the unified data layer. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.

In this episode you will learn:
• Large-scale learning of image recognition models on web data [05:05]
• Evolutionary Scale Modeling protein models [16:45]
• Fighting climate change by building an A.I. model [29:49]
• The CrypTen privacy-preserving ML framework [38:36]
• Concerns about adversarial examples [53:25]
• Laurens’ t-SNE algorithm [58:56]
• How to make a big impact [1:07:25]

Additional materials: www.superdatascience.com/709