Week 15: April 28-May 05

Interactive session, Thursday May 05

Weekly lecture:

Slides:

Ethics and Future perspectives

Videos:

1. Introduction
2. Job loss
3. Superintelligence
4. Other ethical issues
5. Fundamental limitations
6. Fair machine learning
7. Causality in machine learning

Syllabus:

The field of ethics in AI (and future perspectives) is very large, and it is hard to find a single text covering the topics discussed this week. The first few pages of the following paper, however, give a good overview of some of the topics, so therefore this week's syllabus is:

• Ethical Considerations in Artificial Intelligence Courses, pages 22-25 (up to but not including "Tools for Thinking about Ethics and AI")

You may of course also read the rest of the paper, but we find the chapters on ethics theory to be out of the scope of this introductory AI course.

Recommended material:

Here are a few tips if you want to dive deeper into the topics from this week:

• Gary Marcus: "Deep Learning is Hitting a Wall"
• Jim T?rresen: "A Review of Future and Ethical Perspectives of Robotics and AI"
• For those of you with access to Netflix, the documentary "Coded Bias" dives deeper into the topic of bias in AI systems introduced in the lecture.