About Us: At the Computational Ethics Lab at New York University, we examine the ethical reasoning capabilities of large language models and generative AI systems through systematic analysis of their responses to moral dilemmas and ethical frameworks. Our interdisciplinary research combines computer science, philosophy, psychology, and cognitive science to understand how AI systems process ethical questions and make moral judgments.

Our lab investigates how large language models approach complex ethical reasoning by analyzing their responses to classical moral dilemmas, their ethical self-descriptions, and their alignment with established frameworks in moral psychology and philosophy. We're particularly interested in:

• Comparing ethical reasoning across different AI models

• Analyzing how AI systems utilize consequentialist and deontological frameworks

• Mapping AI ethical reasoning to moral foundations theory and developmental stages

• Developing methodologies for ethical benchmarking of AI systems

• Understanding the implications of AI moral reasoning for human-AI collaboration

The NYU Computational Logic Lab conducts interdisciplinary research in AI ethics and computational morality, examining how cultural and religious contexts shape AI reasoning, how fine-tuning large language models influences ethical decision-making, and how AI moral judgments compare to human ethical reasoning. Our work advances understanding of ethical AI systems, machine reasoning, and value-aligned artificial intelligence.

We actively welcome collaborations with researchers across computer science, philosophy, cognitive science, religious studies, and social science who are interested in investigating the rapidly evolving field of computational ethics and responsible AI.