Kevin Ashley

Professor, University of Pittsburgh Graduate Program in Intelligent Systems

Professor, University of Pittsburgh School of Law

Senior Scientist, Learning Research & Development Center

Education and Training

PhD, University of Massachusetts

Research Interests

My research interests in Learning, Law and Computer Science are to:

1. Develop computational models of case-based reasoning (CBR) in domains like law and practical ethics as an intellectual methodology for better understanding comparative evaluation with cases and principles and as a basis for intelligent computer systems to educate students and assist practitioners.
2. Develop case-based and analogical reasoning as alternative techniques for representing and acquiring knowledge in Artificial Intelligence (AI) programs.
3. Identify and analyze special legal problems posed by computer technology in such areas as intellectual property, commercial law, product liability, technology licensing, computer crime and privacy.

Recent Publications

Savelka, J., & Ashley, K., D. (2023). The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts. Frontiers in Artificial Intelligence.

Guitton, C. ... Ashley, K., D. et al. (2023). Pervasive Computational Law. Conference Proceedings of the IEEE Computer Society

Savelka, J., & Ashley, K. (2023). The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts. Frontiers in Artificial Intelligence.

Villata, S., Araszkiewicz, M., Ashley, K. et al. (2022) Thirty years of  artificial intelligence and law: the third decade. Artif Intell Law. 

Gumusel, E., Malic, V., Donaldson, D., Ashley, K., & X. Liu (2022). "An annotation schema for the detection of social bias in legal text corpora.” In International Conference on Information , 185-194. Springer, Cham.

Kevin Ashley's Google Scholar profile

News and Awards