Pioneering research on responsible generative AI
We think that generative AI inherent ethical problems can only be overcome by moving to cognitive AI - the combination of an array of AI approaches, generative being only one of them.
Publications
Our legal chatbots are based on almost a century of research in automated legal reasoning and we continuously contribute new results for the benefit of the community.
Ethical AI
Generative AI has transformed many aspects of our lives, but can we trust it for crucial tasks such as legal advice?
The Human Factor
Can machines be accountable for giving legal advice? Our technology allows them to do exactly that, by introducing the human in the right places in the loop.
Key Publications
- Libal, T. (2023). Legal linguistic templates and the tension between legal knowledge representation and reasoning. Frontiers in Artificial Intelligence
- Ashley, K. D. (2017). Artificial intelligence and legal analytics: new tools for law practice in the digital age. Cambridge University Press
- Soavi, M., Zeni, N., Mylopoulos, J., & Mich, L. (2022). From legal contracts to formal specifications: a systematic literature review. SN Computer Science
- Libal, T., & Pascucci, M. (2019, June). Automated reasoning in normative detachment structures with ideal conditions. In Proceedings of the seventeenth international conference on artificial intelligence and law
Cognitive AI
Accuracy and Explainability
AI used in high-risk domains, such as nuclear reactors and train systems.
Versatility
Generative AI.
Accountability
Human legal expert.
