Criminal law might sometimes be perceived to be at the margins of the automation process that involves increasing sectors of our society. While the expansion of automated-driven cars is by now an established fact, the technological upgrade of criminal justice mechanisms still tends to evocate sci-fi images and Minority-report-style dystopian scenarios to the non-specialists. However, the high variety of applications that can already be counted in this domain, and the acceleration of this process in the last few years, clearly speaks for a tangible expansion of AI technology also in the field. In particular, against some more-established scenarios, especially related to phenomena of so-called predictive policing, Multi-Agent Systems (MAS) open today the perspective of a much deeper involvement of automated technologies in the very shaping of investigative proceedings. The chapter offers an analysis of such potential, both with respect to their possible contribution to the efficiency of investigations (in their preventive and repressive dimension), and to avoid or reduce certain negative biases typical of “purely human” investigation processes, first of all, the tunnel vision effect.

Giulia Lasagni (2022). AI-Powered Investigations: From Data Analysis to an Automated Approach Toward Investigative Uncertainty. Cham : Springer.

AI-Powered Investigations: From Data Analysis to an Automated Approach Toward Investigative Uncertainty

Giulia Lasagni
2022

Abstract

Criminal law might sometimes be perceived to be at the margins of the automation process that involves increasing sectors of our society. While the expansion of automated-driven cars is by now an established fact, the technological upgrade of criminal justice mechanisms still tends to evocate sci-fi images and Minority-report-style dystopian scenarios to the non-specialists. However, the high variety of applications that can already be counted in this domain, and the acceleration of this process in the last few years, clearly speaks for a tangible expansion of AI technology also in the field. In particular, against some more-established scenarios, especially related to phenomena of so-called predictive policing, Multi-Agent Systems (MAS) open today the perspective of a much deeper involvement of automated technologies in the very shaping of investigative proceedings. The chapter offers an analysis of such potential, both with respect to their possible contribution to the efficiency of investigations (in their preventive and repressive dimension), and to avoid or reduce certain negative biases typical of “purely human” investigation processes, first of all, the tunnel vision effect.
2022
Investigating and Preventing Crime in the Digital Era New Safeguards, New Rights
169
188
Giulia Lasagni (2022). AI-Powered Investigations: From Data Analysis to an Automated Approach Toward Investigative Uncertainty. Cham : Springer.
Giulia Lasagni
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/895981
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact