AI, Ethics, and Geoethics
A graduate-level course for credit offered through University of Oklahoma – Norman
An asynchronous Computer Science course (CS 5970) offered by University of Oklahoma – Norman
Spring semester 2021
Instructor: Dr. Amy McGovern
Module 1: Logistics and introduction
Course logistics and introduction to each other.
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 5: Geoethics and AI
Ethics of geoscience-related research with a extra focus on AI.
Module 6: Bias in AI
Bias in AI and technology in general.
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 and how does this relate to creating ethical AI?
Module 10: AI, liability, security, and policy
AI policies lag behind the technology. What policies exist and what are the ramifications for liability? How can we secure AI models and data?
Module 11: Looking to the future
What can we personally do to ensure AI is ethical in all applications?
Project information (cross-cutting across modules)
In The News
AI, Ethics, Geoethics in the news (cross-cutting across modules)
Links to the final syllabus, mid-semester evaluations, etc.