For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3bbEpQ3
Topics: Future of AI
Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor – Stanford University
http://onlinehub.stanford.edu/
Associate Professor Percy Liang
Associate Professor of Computer Science and Statistics (courtesy)
https://profiles.stanford.edu/percy-liang
Assistant Professor Dorsa Sadigh
Assistant Professor in the Computer Science Department & Electrical Engineering Department
https://profiles.stanford.edu/dorsa-sadigh
To follow along with the course schedule and syllabus, visit:
https://stanford-cs221.github.io/autumn2019/#schedule
0:00 Introduction
0:47 Roadmap
2:55 Course plan
4:50 Reflex-based models
5:44 State-based models
7:00 Variable-based models
8:07 Logic-based models
9:14 Tools
10:21 Other Al-related courses
11:26 Probabilistic graphical models (CS228)
12:30 Machine learning (CS229)
13:41 Statistical learning theory (CS229T)
17:56 Language (CS224N, CS224U)
19:16 Cognitive science
20:14 Neuroscience
24:03 underwhelming results
26:01 Implications of early era
27:11 Knowledge-based systems (70-80s)
30:19 The Complexity Barrier
32:10 A melting pot
34:16 Google Machine Translation (2016)
36:48 Image classification
37:23 Adversaries
41:21 Reading comprehension
42:32 Optimizing for clicks
44:44 How to model human objectives?
47:32 Generating fake content
51:03 Fairness in criminal risk assessment
53:09 Are algorithms neutral?
55:20 Privacy: Randomized response
56:23 Causalty
57:33 Interpretability versus accuracy
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