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.

Artifical Intelligence Causal Reasoning Intelligent Tutoring Systems Legal Reasoning Memory

Related Research Areas

Learning Technology Reasoning, Decision Making, & Argumentation

Recent Publications

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.

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.

Kevin Ashley's Google Scholar profile

News and Awards

Kevin Ashley was featured in April 20 Pittwire Article ""Pitt Law Professor Kevin Ashley receives CodeX Prize."

April 25, 2022

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Pitt Momentum Scaling Grant: Center for Text Analytic Methods in Legal Studies: Kevin Ashley, School of Law with School of Computing & Information Science colleagues Daqing He, Diane Litman, and Rebecca Hwa; and James Anderson, RAND. Scaling Grants are awarded for a two-year term with an award cap of $ 400,000, enable multi-disciplinary teams to competitively scale their research efforts in targeted pursuit of large-scale external funding.

March 21, 2022

Congratulations to Kevin Ashley, Professor, Law, and Diane Litman, Professor, School of Computing and Information, who received a $600,000 grant from Amazon and the National Science Foundation (NSF) Fairness in Artificial Intelligence for "Using AI to Increases Fairness by Improving Access to Justice."

January 28, 2022

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Kevin Ashley and Diane Litman have received a grant from the joint Amazon and National Science Foundation Fairness in Artificial Intelligence program to support their project, "Using AI to Increase Fairness by Improving Access to Justice."

November 16, 2021

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Kudos to LRDC Momentum Grant recipients: Josefina Bañales: Anti-Racism Action Development Among Latinx Youth; Jamie Hanson: Understanding the Role of the Brain in Race/Ethnicity Based Stressors and Behavioral Challenges Among Youth of Color; Kevin Ashley and Diane Litman: Center for Text Analytic Methods in Legal Studies; Omid Fotuhi: Improving Educational Opportunities for Black Youth in Pittsburgh: A Justice-Centered Intervention.

June 2021

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[Person photo]

Contact

424C MURDC

ashley@pitt.edu

(412) 648-1495

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