Minhas, Rashid ORCID: https://orcid.org/0000-0002-1479-0985, Elphick, Camilla and Shaw, Julia (2021) Protecting victim and witness statement: examining the effectiveness of a chatbot that uses artificial intelligence and a cognitive interview. AI and Society. ISSN 0951-5666

Preview

PDF AI CI accepted version.pdf - Accepted Version Download (685kB) | Preview

Abstract

Information of high evidentiary quality plays a crucial role in forensic investigations. Research shows that information provided by witnesses and victims often provide major leads to an inquiry. As such, statements should be obtained in the shortest possible time following an incident. However, this is not achieved in many incidents due to demands on resources. This intersectional study examined the effectiveness of a chatbot (the AICI), that uses artificial intelligence (AI) and a cognitive interview (CI) to help record statements following an incident. After viewing a sexual harassment video, the present study tested recall accuracy in participants using AICI compared to other tools (i.e., Free Recall, CI Questionnaire, and CI Basic Chatbot). Measuring correct items (including descriptive items) and incorrect items (errors and confabulations), it was found that the AI CI elicited more accurate information than the other tools. The implications on society include AI CI provides an alternative means of effectively and efficiently recording high-quality evidential statements from victims and witnesses.

Item Type:	Article
Identifier:	10.1007/s00146-021-01165-5
Additional Information:	This is a post-peer-review, pre-copyedit version of an article published in AI and Society. The final authenticated version is available online at: https://doi.org/10.1007/s00146-021-01165-5
Keywords:	Artificial intelligence; Victim statement, Witness statement, Memory recall, workplace harassment
Subjects:	Computing > Intelligent systems Law and criminal justice
Related URLs:	Publisher
Depositing User:	Rashid Minhas
Date Deposited:	24 Feb 2021 16:19
Last Modified:	06 Feb 2024 16:05
URI:	https://repository.uwl.ac.uk/id/eprint/7691

Downloads

Actions (login required)

View Item