Chapter
Data Scientists as Educators
1:40:09 - 1:44:07 (03:57)
Host Rachel Thomas and guest Jeremy Howard discuss the importance of data scientists recognizing their role as educators and acknowledging the potential societal impact of deep learning and AI-driven technologies.
Clips
The speaker believes that labor force displacement caused by AI will be significant, however, AI can be used to solve current unsolved societal problems without needing significant new technological breakthroughs.
1:40:09 - 1:42:36 (02:27)
Summary
The speaker believes that labor force displacement caused by AI will be significant, however, AI can be used to solve current unsolved societal problems without needing significant new technological breakthroughs.
ChapterData Scientists as Educators
EpisodeJeremy Howard: fast.ai Deep Learning Courses and Research
PodcastLex Fridman Podcast
Every data scientist working with deep learning needs to consider the consequences of their work on society and think about human issues such as how to avoid runaway feedback loops, ensuring an appeals process for humans impacted by their algorithms, and adequately explaining the constraints of their algorithms to people using them.
1:42:36 - 1:44:07 (01:30)
Summary
Every data scientist working with deep learning needs to consider the consequences of their work on society and think about human issues such as how to avoid runaway feedback loops, ensuring an appeals process for humans impacted by their algorithms, and adequately explaining the constraints of their algorithms to people using them.