Abstract
Recent developments in the forensic sciences have confronted
the field of legal reasoning with the new challenge of reasoning under
uncertainty. Forensic results come with uncertainty and are described
in terms of likelihood ratios and random match probabilities. The legal
field is unfamiliar with numerical valuations of evidence, which has led
to confusion and in some cases to serious miscarriages of justice. The
cases of Lucia de B. in the Netherlands and Sally Clark in the UK are
infamous examples where probabilistic reasoning has gone wrong with
dramatic consequences. One way of structuring probabilistic information
is in Bayesian networks(BNs). In this paper we explore a new method to
identify legal arguments in forensic BNs. This establishes a formal con-
nection between probabilistic and argumentative reasoning. Developing
such a method is ultimately aimed at supporting legal experts in their
decision making process.
the field of legal reasoning with the new challenge of reasoning under
uncertainty. Forensic results come with uncertainty and are described
in terms of likelihood ratios and random match probabilities. The legal
field is unfamiliar with numerical valuations of evidence, which has led
to confusion and in some cases to serious miscarriages of justice. The
cases of Lucia de B. in the Netherlands and Sally Clark in the UK are
infamous examples where probabilistic reasoning has gone wrong with
dramatic consequences. One way of structuring probabilistic information
is in Bayesian networks(BNs). In this paper we explore a new method to
identify legal arguments in forensic BNs. This establishes a formal con-
nection between probabilistic and argumentative reasoning. Developing
such a method is ultimately aimed at supporting legal experts in their
decision making process.
| Original language | English |
|---|---|
| Title of host publication | Legal Knowledge and Information Systems. JURIX 2014: The Twenty-seventh Annual Conference |
| Editors | Rinke Hoekstra |
| Publisher | IOS Press |
| Pages | 71-80 |
| ISBN (Electronic) | 978-1-61499-468-8 |
| ISBN (Print) | 978-1-61499-467-1 |
| DOIs | |
| Publication status | Published - 2014 |
Publication series
| Name | Frontiers in Artificial Intelligence and Applications |
|---|---|
| Publisher | IOS Press |
| Volume | 271 |
| ISSN (Print) | 0922-6389 |
| ISSN (Electronic) | 1879-8314 |
Keywords
- Legal reasoning
- Argumentation
- Probablistic reasoning
- Bayesian networks
- ASPIC+
- Defeasible reasoning
- Evidential reasoning