Abstract
An important challenge in the field of law is the attribution of re- sponsibility and blame to individuals and organisations for a given harm. Attributing legal responsibility often involves (but is not lim- ited to) assessing to what extent certain parties have caused harm, or could have prevented harm from occurring. This paper presents a causal framework for performing such assessments that is partic- ularly suitable for the analysis of complex legal cases, where the actions of many parties have had a direct or indirect effect on the harm that did occur. This framework is evaluated by means of a case study that applies it to the Baby P. case, a high-profile case of child abuse leading to the death of a child that has been the subject of a number of public inquiries in the UK. The paper concludes with a discussion of the framework, including a roadmap of future work and barriers to adoption.
| Original language | English |
|---|---|
| Title of host publication | ICAIL '15: Proceedings of the 15th International Conference on Artificial Intelligence and Law |
| Publisher | ACM Digital Library |
| Pages | 33–42 |
| Number of pages | 10 |
| ISBN (Print) | 9781450335225 |
| DOIs | |
| Publication status | Published - Jun 2015 |
