- Equity and Inclusion
- Prospective Students
- Clinical Psychology Center
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.
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.
Education & Training
- PhD, University of Massachusetts
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, commercia