Kevin Ashley was featured in April 20 Pittwire Article ""Pitt Law Professor Kevin Ashley receives CodeX Prize."
April 25, 2022
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:
- 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.
- Develop case-based and analogical reasoning as alternative techniques for representing and acquiring knowledge in Artificial Intelligence (AI) programs.
- 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.
Related Research Areas
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.
Gray, M., Šavelka, J., Oliver, W., & Ashley, K. (2022) Toward automatically identifying legally relevant factors. Legal Knowledge and Information Systems.
Phelps, T., and Ashley, K. (2022). Alexa, write a memo: The promise and challenges of AI and legal writing." Legal Writing: J. Legal Writing Inst. 26 329.
Ashley, K. (2022). Prospects for legal analytics: Some approaches to extracting more meaning from legal texts”. University of Cincinnati Law Review 90:4 1207-1240.
News and Awards
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
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
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
![[Person photo]](/people/images/ashley_k.jpg)
Contact
424C MURDC
(412) 648-1495