Research


Projects


Explainable AI and Ancient Values

Contrary to modern moral philosophy, ancient Greek ethics argues that values related to knowledge and understanding—in Greek, epistêmê—are fundamental to human life. Our project revives this conviction and argues that it speaks to key concerns in AI. AIs decide or help decide who gets an interview for a job, whose loan application is approved, what a patient’s medical diagnosis is and what their best treatment options are, and so forth. Much of the research in the Ethics of AI is about the fairness of these decisions. We argue that research should also address epistemic values such as understanding and explainability. We aim to contribute to so-called explainable AI (XAI), which appreciates that it is a basic feature of the human mind to ask and expect answers to why-questions.


Alignment and Confucian Ethics

TBA


Videos


Philosophy and AI: An Introduction

Intro to Philosophy and AI

Alignment

Intro to Philosophy and AI: Alignment

Lecture Slides


Do AIs have beliefs? Do they have intentions?


AI and Value Alignment


AI and Fairness


Papers


“Measure Realism”

in progress, co-authored with Jens Haas


“Do LLMs have Beliefs? It Depends”

in progress


“Generics and Inference”

in progress