JOURNAL ARTICLE

Crimes without Humanity? Artificial Intelligence, Meaningful Human Control, and International Criminal Law.

  • Published In: Journal of International Criminal Justice, 2023, v. 21, n. 5. P. 981 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Acquaviva, Guido 3 of 3

Abstract

This article examines the challenges that autonomous weapons systems (AWS) and artificial intelligence (AI) pose to international criminal law (ICL), particularly regarding the attribution of criminal responsibility for harm caused in armed conflict. It focuses on the concept of meaningful human control (MHC) over AWS, which aims to ensure human authority and accountability in the deployment and use of such systems, but highlights the difficulties in defining and applying MHC consistently, especially given the complexity and opacity of AI-driven decisions. The article explores how existing ICL doctrines, such as superior responsibility and control theory under the International Criminal Court (ICC), relate to MHC and the responsibility gap created by AWS, noting that establishing a causal link between human conduct and harm is increasingly complicated with advanced technologies like drone swarms that operate autonomously and coordinate in decentralized ways. Ultimately, it suggests that while criminal law may help set ex post standards for accountability, new legal frameworks and understandings are needed to address the evolving nature of human control and responsibility in the context of AWS and AI in warfare.

Additional Information

  • Source:Journal of International Criminal Justice. 2023/11, Vol. 21, Issue 5, p981
  • Document Type:Article
  • Subject Area:Law
  • Publication Date:2023
  • ISSN:1478-1387
  • DOI:10.1093/jicj/mqad024
  • Accession Number:175938345
  • Copyright Statement:Copyright of Journal of International Criminal Justice is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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