Introductory lecture on Human-Centered Artificial Intelligence (MIT 6.S093) I gave on February 1, 2019. For more lecture videos on deep learning, reinforcement learning (RL), artificial intelligence (AI & AGI), and podcast conversations, visit our website or follow TensorFlow code tutorials on our GitHub repo.
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Transcript:
Playlist:
OUTLINE:
0:00 – Introduction to human-centered AI
5:17 – Deep Learning with human out of the loop
6:11 – Deep Learning with human in the loop
8:55 – Integrating the human into training process and real-world operation
11:53 – Five areas of research
15:38 – Machine teaching
19:27 – Reward engineering
22:35 – Question about representative government as a recommender system
24:27 – Human sensing
27:06 – Human-robot interaction experience
30:28 – AI safety and ethics
33:10 – Deep learning for understanding the human
34:06 – Face recognition
45:20 – Activity recognition
51:16 – Body pose estimation
57:24 – AI Safety
1:02:35 – Human-centered autonomy
1:04:33 – Symbiosis with learning-based AI systems
1:05:42 – Interdisciplinary research
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