Interactive session, Wednesday May 05
- Quiz
- Discussion topics
- Anonymous feedback and suggestions
- No Recording
Weekly lecture:
Slides:
Ethics and Future perspectives
Slides from the associated interactive session:
Videos:
- Introduction
- Job loss
- Superintelligence
- Other ethical issues
- Fundamental limitations
- Fair machine learning
- Causality in machine learning
Recommended material:
There is no required reading this week, but here are a few tips if you want to dive deeper into the topics from this week:
- Gary Marcus: "The deepest problem with deep learning"
- Jim T?rresen: "A Review of Future and Ethical Perspectives of Robotics and AI"
- For those of you with access to Netflix, the recently launched documentary "Coded Bias" dives deeper into the topic of bias in AI systems introduced in the lecture.
Weekly exercise:
The weekly exercises are done for the semester, and the group sessions are also over for now. See more info in the "news" section of the course webpage.