Case Studies

The development of artificial intelligence (AI) systems and their deployment in society gives rise to ethical dilemmas and hard questions. Below are a set of fictional case studies that are designed to elucidate and prompt discussion about issues in the intersection of AI and Ethics. As educational materials, the case studies were developed out of an interdisciplinary workshop series at Princeton University that began in 2017-18. They are the product of a research collaboration between the University Center for Human Values (UCHV) and the Center for Information Technology Policy (CITP) at Princeton.

Case Study 1: Automated Healthcare App
Issues:
Foundations of legitimacy
Paternalism
Transparency
Censorship
Inequality

Case Study 2: Dynamic Sound Identification
Issues:
Rights
Representational harms
Neutrality
Downstream responsibility

Case Study 3: Optimizing Schools
Issues:
Privacy
Autonomy
Consequentialism
Rhetoric

Case Study 4: Law Enforcement Chatbots
Issues:
Automation
Research ethics
Sovereignty