AI, Ethics, and Geoethics
A graduate-level course for credit offered through University of Oklahoma – Norman
Details
An asynchronous Computer Science course (CS 5970) offered by University of Oklahoma – Norman
3 credits
Spring semester 2021
Instructor: Dr. Amy McGovern
Course Content
Module 2: Why do we need AI, ethics, and geoethics?
Overview of ethics issues in AI as well as technology in general.
Module 3: Enabling interdisciplinary research
Strategies for enabling interdisciplinary collaborations, including interdisciplinary habits of the mind and insights from the science of team science.
Module 4: Responsible conduct of AI research
Ethics of scientific research with a focus on AI research.
Module 7: AI, humanity, and employment
AI impacts humanity broadly, not just in the ways we might initially think.
Module 8: Data
Data needs to be clean and unbiased, which is not always straightforward. Ethics of data sharing
Module 9: AI and transparency and trust
How does the transparency of AI affect trust?
Module 10: AI, liability, and policy
AI policies lag behind the technology. What policies exist and what are the ramifications for liability?
Module 11: AI and security
Data needs to be clean and unbiased, which is not always straightforward. Ethics of data sharing
Module 12: Looking to the future
What can we do to ensure AI is ethical in all applications?