Kevin D. Ashley

Kevin D. Ashley is an expert on computer modeling of legal reasoning and cyberspace legal issues. He has reported his research in conference proceedings of the American Association for Artificial Intelligence, the International Association for Artificial Intelligence and the Law, and the Cognitive Science Society. He has also published in journals such as IEEE Expert, International Journal of Man/Machine Studies, and Journal of Artificial Intelligence and the Law, of which he is a member of the editorial board. Professor Ashley is a Principal Investigator of a number of National Science Foundation grants to study reasoning with cases in law and professional ethics. Professor Ashley is also author of Modeling Legal Argument: Reasoning with Cases and Hypotheticals (MIT Press/Bradford Books, 1990).

A former National Science Foundation Presidential Young Investigator, Professor Ashley was also a visiting scientist at the IBM Thomas J. Watson Research Center, and a recipient of an IBM Graduate Research Fellowship. He is a member of the American Association for Artificial Intelligence, and Vice President of the International Association of Artificial Intelligence and Law.

In addition to his appointment at the School of Law, Professor Ashley is a research scientist at the Learning Research and Development Center, an adjunct associate professor of computer science at the University of Pittsburgh, and a faculty member of its Graduate Program in Intelligent Systems.

Currently Teaching

• Intellectual Property (Fall 08)

Courses Previously Taught

• Cyberspace and the Law

Selected Publications

Books and Edited Works:

• Kevin D. Ashley, M. Ikeda & T-W Chan (eds.), Intelligent Tutoring Systems. Proceedings from 8th International Conference, ITS 2006 Taiwan (Springer June 2006).
• Kevin D. Ashley & D. G. Bridge (eds.), Case-Based Reasoning Research and Development. Proceedings from 5th International Conference on Case-Based Reasoning (Springer 2003).

Refereed Journal Articles:

• Kevin D. Ashley, Comment on Lowrance’s Graphical Manipulation of Evidence in Structured Arguments Law, Probability & Risk, Vol. 6, Issue 1-4, pp. 241-245, 2007.
• Kevin D. Ashley & S. Brüninghaus, Computer Models for Legal Prediction, 46 Jurimetrics J. 309 (2006).
• Kevin D. Ashley, Capturing the Dialectic Between Principles and Cases, 44 Jurimetrics J. 229 (2004).
• Kevin D. Ashley et al., Law, Learning and Representation, 150 Artificial Intelligence 17 (2003).
• Kevin D. Ashley et al., Case-Based Reasoning and Law, 20 Knowledge Engineering Review, 293 (2005).

Invited Papers Not Refereed:

• Kevin D. Ashley, Hypothesis Formation and Testing in Legal Argument in International Congress Of Comparative Cultures And Legal Systems Of The Instituto De Investigaciones Juridicas Second International Meeting On Artificial Intelligence And Law, Universidad Nacional Autonoma de Mexico, Mexico City (April 2006).
• Kevin D. Ashley, V. Aleven & C. Lynch, Teaching Creative Legal Reasoning with Examples from Supreme Court Oral Arguments in Proceedings of the ICAIL-05 Workshop on Artificial Intelligence and Legal Education 47, Bologna (2005).
• V. Aleven & Kevin D. Ashley, Toward Supporting Hypothesis Formation and Testing in an Interpretive Domain in Proceedings Of The Twelfth International Conference On Artificial Intelligence In Education, Amsterdam (July 2005).
• Kevin D. Ashley, Case-Based Models of Legal Reasoning in a Civil Law Context for International Congress of Comparative Cultures and Legal Systems of The Instituto De Investigaciones Juridicas, Universidad Nacional Autonoma de Mexico, Mexico City, (February 2004).
• Kevin D. Ashley, Exploring an Example of Creative Legal Problem Solving: Inventing the NOW Account for the Special Workshop of the IVR World Congress 2003 on Creativity In Legal Problem Solving, Lund Sweden (August 2003).

Awards and Honors

• Chancellor’s Distinguished Research Award, Senior Scholar Category (2000)