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

Xu, H., Savelka, J., & Ashley, K.D. (2021). Toward Summarizing Case Decisions via Extracting Argument Issues, Reasons, and Conclusions. ICAIL '21: Proceedings of the Eighteenth International Conference on Artificial Intelligence and Law.

Šavelka, J. & Ashley, K. (2021). Legal information retrieval for understanding statutory terms. Artificial Intelligence and Law.

Ashley, K., Litman, D., He, D., Hwa, R., & Anderson, J. (2021). Center for text analytic methods in legal studies. In: Pitt Momentum Fund 2021.

Savelka, J., & Ashley, K. (2021). Discovering explanatory sentences in legal case decisions using pre-trained language models. Association for Computational Linguistics.

Xu, H., Šavelka, J., & Ashley, K.D. (2020). Using argument mining for legal text summarization. Legal Knowledge and Information Systems, 334, 184-193.

Kevin's Google Scholar profile

News and Awards