This paper focuses on the normative analysis – in the sense of the classic decision-theoretic formulation – of decision problems that arise in con- nection with forensic expert reporting. We distinguish this analytical account from other common types of decision analyses, such as descriptive approaches. While decision theory is, since several decades, an extensively discussed topic in legal literature, its use in forensic science is more recent, and with an em- phasis on goals such as the analysis of the logical structure of forensic ex- pert conclusions regarding, for example, propositions of common source of evidential and known materials. Typical examples are so-called identification (or, individualization) decisions, especially categorical conclusions according to which fingermarks (or stains of biological nature, handwriting, etc.) come from a particular a person of interest. We will present and compare ways of stating forensic identification decisions in decision-theoretic terms and explain their underlying rationale. In particular, we will emphasize the importance of viewing this analysis as normative in the sense of providing a reflective rather than a prescriptive reference point against which people in charge of forensic identification decisions may compare their otherwise (possibly) intuitive and informal reasoning, before acting. Normative decision analysis in forensic sci- ence thus provides a vector through which current practice can be articulated, scrutinized and rethought.
|Data di pubblicazione:||2020|
|Titolo:||Normative decision analysis in forensic science|
|Rivista:||ARTIFICIAL INTELLIGENCE AND LAW|
|Digital Object Identifier (DOI):||http://dx.doi.org/10.1007/s10506-018-9232-2|
|Appare nelle tipologie:||2.1 Articolo su rivista |
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