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Abstract

The detection of deception is important within the criminal justice system as miscarriages of justice can occur when someone is convicted based on incorrectly interpreted cues which have a faint but unreliable relationship to deception. Since the seminal De Paulo et al. (2003) research regarding the unreliability of cues to deception, the research into deception detection has proliferated, not only in the social sciences but also in the fields of law, healthcare, neuroscience, and computer science. With research into deception widening into other areas, the chances are optimised that a credible method of detection deception can be developed and with the improvement in technology, specifically Artificial Intelligence (AI), making advances in the various fields, there is a greater chance of finding results faster. Within this context, this dissertation reviews the extent to which research into cues of deception have developed within the criminal justice system and aims to assess the impact of technology and whether it has made a significant contribution in improving the validity of deception detection over the past twenty years. A literature review was conducted examining the development of traditional methods of detection, AI and its contribution, neuroscientific methods of detection and finally, case-studies where deception detection machinery was used in the court system. The results from the review demonstrate that developments made are not robust enough to be used in the criminal justice system at this time and that the research is fragmented and requires a more interdisciplinary approach to progress further.

Course: Criminal Justice - MSc - C2681F

Date Deposited: 2024-11-21

URI/permalink: https://library.port.ac.uk/dissert/dis14567.html