Measuring Uncertainty in Forensic Science

This paper aims at describing the ways in which uncertainty is (or is not) measured in the field of forensic science and how the measure of uncertainty can be used to make better judicial decisions. From the traditional fingerprint comparison to the latest advances in forensic DNA analysis, we discuss the advantages and drawbacks of various ways of reporting forensic science results. We point to past and current controversies, and analyze what remains to be done in the field to ensure that the probative value of forensic science evidence is communicated to judicial fact finders in a way that is scientifically robust, balanced and transparent, to allow them to make coherent decisions.

[1]  Peter Neufeld,et al.  Invalid Forensic Science Testimony and Wrongful Convictions , 2009 .

[2]  C. Aitken,et al.  Fundamentals of Statistical Evidence—A Primer for Legal Professionals , 2008 .

[3]  James Skerrett,et al.  Consideration of the probative value of single donor 15-plex STR profiles in UK populations and its presentation in UK courts. , 2012, Science & justice : journal of the Forensic Science Society.

[4]  Franco Taroni,et al.  How the probability of a false positive affects the value of DNA evidence. , 2003, Journal of forensic sciences.

[5]  E. Iso,et al.  Measurement Uncertainty and Probability: Guide to the Expression of Uncertainty in Measurement , 1995 .

[6]  Bas Kokshoorn,et al.  DNA transfer in forensic science: A review. , 2019, Forensic science international. Genetics.

[7]  I. Evett,et al.  A hierarchy of propositions: deciding which level to address in casework , 1998 .

[8]  R. A. Hicklin,et al.  Accuracy and reliability of forensic latent fingerprint decisions , 2011, Proceedings of the National Academy of Sciences.

[9]  J. Koehler.  Forensics or Fauxrensics? Ascertaining Accuracy in the Forensic Sciences , 2016 .

[10]  J. Bohan.  Review of: Strengthening Forensic Science in the United States: A Path Forward , 2010 .

[11]  Colin Aitken,et al.  Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science , 2014 .

[12]  Michael O. Finkelstein,et al.  A Bayesian Approach to Identification Evidence , 1970 .

[13]  C. Bowers.  Review of a forensic pseudoscience: Identification of criminals from bitemark patterns. , 2019, Journal of forensic and legal medicine.