MIT Introduction to Deep Learning 6.S191: Lecture 5
Robust and Trustworthy Deep Learning
Lecturer: Sadhana Lolla (Themis AI, https://themisai.io)
2023 Edition

For all lectures, slides, and lab materials: http://introtodeeplearning.com​

Lecture Outline
0:00 Introduction and Themis AI
3:46 Background
7:29 Challenges for Robust Deep Learning
8:24 What is Algorithmic Bias?
14:13 Class imbalance
16:25 Latent feature imbalance
20:30 Debiasing variational autoencoder (DBVAE)
23:24 DBVAE mathematics
27:40 Uncertainty in deep learning
29:50 Types of uncertainty in AI
32:48 Aleatoric vs epistemic uncertainty
33:29 Estimating aleatoric uncertainty
37:42 Estimating epistemic uncertainty
44:11 Evidential deep learning
46:44 Recap of challenges
47:14 How Themis AI is transforming riskawareness of AI
49:30 Capsa: Opensource riskaware AI wrapper
51:51 Unlocking the future of trustworthy AI


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