202827

Artificial Intelligence and Criminal Liability: Challenges in Articulation of Legal Aspects for Counter-Productive Actions of Machine Learning

Article

Last updated: 04 Jan 2025

Subjects

-

Tags

Computers and Education
Education, general

Abstract

The purpose of this article is to investigate the feasibility of recognizing criminological aspects of artificial intelligence and prosecuting it; the importance of the research issue stems from the growing influence of self-learning programs in human life and their rapid development. It is noted that criminal legislation is not distinguished by the promptness of changes covering the emergence of new relations. There is no corpus delicti associated with the commission of socially harmful activities using neural networks, artificial intelligence, or artificial intelligence itself in the statute. The author analyzes the objective signs of committing crimes and deviances in responses related to artificial intelligence. The work proves that the activities of self-taught programs can pose a public danger and harm public relations, protected by criminal law. Artificial intelligence may potentially fully implement the objective side of some criminal actions, and this list will continue to grow in the future. The article discusses the potential for self-learning programs to engage in unlawful activities. The substance of artificial intelligence's guilt reflects the content of human activity's intellectual and volitional parts. It is suggested that artificial intelligence is not separate from criminology but that it will act in its place if recognized as a person.

DOI

10.21608/ihites.2021.90657.1049

Keywords

artificial intelligence, Criminal Liability, criminology

Authors

First Name

Dr Atif

Last Name

Ali

MiddleName

-

Affiliation

PMAS-Arid Agriculture University Rawalpindi, Pakistan

Email

atif.alii@yahoo.com

City

-

Orcid

-

Volume

2

Article Issue

3

Related Issue

28273

Issue Date

2021-08-01

Receive Date

2021-08-14

Publish Date

2021-08-01

Page Start

13

Page End

20

Print ISSN

2682-3918

Online ISSN

2682-3926

Link

https://ijites.journals.ekb.eg/article_202827.html

Detail API

https://ijites.journals.ekb.eg/service?article_code=202827

Order

4

Type

Original Article

Type Code

1,128

Publication Type

Journal

Publication Title

International Journal of Instructional Technology and Educational Studies

Publication Link

https://ijites.journals.ekb.eg/

MainTitle

Artificial Intelligence and Criminal Liability: Challenges in Articulation of Legal Aspects for Counter-Productive Actions of Machine Learning

Details

Type

Article

Created At

22 Jan 2023