Spring 2025
James Brusseau
jamesbrusseau@gmail.com
jbrusseau@pace.edu
UniTrento webpage
Objectives
1. |
Through case studies and discussion, we will explore the principles of AI ethics and apply them to today's technology. We will learn to talk about the human side of AI innovation. |
|
2. |
Survey the primary debates in AI ethics. |
|
3. |
Students will be equipped to produce AI ethics evaluations of their own work, to respond to ethics committees, and to perform AI ethics audits / algorithmic impact statements. |
Content
Ethics principles employed in today's Computer Science, Engineering, and AI ethics.
Selected contemporary debates in the philosophy and ethics of AI.
Teaching method
The teaching method is classroom discussion of case studies, and lectures presented by the professor. There are no required texts and no homework - but attendance at seminar sessions is required because the course's main ideas will be developed collaboratively, through the seminar discussions. AI ethics is learned by doing AI ethics.
Schedule
Wednesday, May 7, 4.30 p.m. - 6.30 p.m.
Autonomy (Course Introduction)
Thursday, May 8, 4.30 p.m. - 6.30 p.m.
Dignity
Friday, May 9, 4.30 p.m. - 6.30 p.m.
Privacy
Wednesday, May 14, 4.30 p.m. - 6.30 p.m.
Fairness
Thursday, May 15, 4.30 p.m. - 6.30 p.m.
Equity/Solidarity
Friday, May 16, 4.30 p.m. - 6.30 p.m.
Social Wellbeing
Wednesday, May 21, 4.30 p.m. - 6.30 p.m.
Explainability + Safety Video of session is here.
Thursday, May 22, 4.30 p.m. - 6.30 p.m.
Performance + Cases: Images, Fake Drake + AI Audits Video of session is here.
Wednesday, May 28, 4.30 p.m. - 6.30 p.m.
Student Presentations
Thursday, May 29, 4.30 p.m. - 6.30 p.m.
Student Presentations
Assessment
Students will present a power point / poster presentation. It will be an AI ethics evaluation of an AI application. The AI application may be a tool the student is developing in their own work, or it may be a publicly known artificial intelligence application (ChatGPT, for example, or smart glasses, or Tesla and autopilot). The presentation will last 15 - 20 minutes plus 5 - 10 minutes of questions.
Students will be graded on their ability to locate the ethical dilemmas that arise around AI technology, and their ability to discuss the dilemmas knowledgeably. There are no right or wrong answers in ethics, but there are better and worse understandings of the human values that guide and justify decisions.
Because the main ideas will be developed through classroom discussion, attendance to at least 80% of seminar sessions is required in order to do the final presentation.
Bibliography
The bibliography will be the seminar sessions and decks.
Autonomy/Freedom
Dignity
Privacy
Fairness
Equity/Solidarity
Social wellbeing/Sustainability
Performance
Safety
Explainability/Accountability
Compared to others, our principles lean toward human freedom/libertarianism, and are more streamlined. Small differences.
Ethics Guidelines for Trustworthy AI
AI High Level Expert Group, European Commission
https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai
European Ethical Charter on the Use of Artificial Intelligence in Judicial Systems and their Environment
European Commission for the Efficiency of Justice
https://rm.coe.int/ethical-charter-en-for-publication-4-december-2018/16808f699c
Ethical and Societal Implications of Data and AI
Nuffield Foundation
https://www.nuffieldfoundation.org/sites/default/files/files/Ethical-and-Societal-Implications-of-Data-and-AI-report-Sheffield-Foundat.pdf
The Five Principles Key to Any Ethical Framework for AI
New Statesman, Luciano Floridi and Lord Clement-Jones
https://tech.newstatesman.com/policy/ai-ethics-framework
Postscript on Societies of Control
October 1997, Deleuze
/Library: Deleuze, Foucault, Discipline, Control.pdf
A Declaration of the Independence of Cyberspace
John Perry Barlow
https://www.eff.org/cyberspace-independence