This course has been archived

The contents of this course have now been merged in to the Getting Started course. Please visit that page for current content.

Archived on 2023-01-05

Course Outline

Summary

Objectives

By the end of this module, students will be able to:

1. Compare and contrast the ethical frameworks of Consequentialism and Deontology.
2. Describe the issue of biased data and why training data ought to be representative of a given population.
3. Evaluate data collection processes and data sets to ensure alignment to a research question or AI service.
4. Recognize the inherent complexity of ethical thinking and the need to balance competing interests.
5. Summarize the limitations of narrow AI: a. Open category problem b. Model brittleness c. Others

To Do List

Read

Watch

Complete

Optional Content / Additional Resources

The Alignment Problem by Brian Christian

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