Criminal liability for the misuse and crimes committed by AI
A comparative analysis of legislation and international conventions
Bibliographic Data
| ID | 22188652 |
|---|---|
| Authors | Dalia Kadry Ahmed Abdelaziz (Prince Sultan University, corresponding author) |
| Year | 2025 |
| Volume | 9 |
| Issue | 1 |
| Pages | 10722 |
| Publication date | 2025-01-13 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Infrastructure Policy and Development (JOURNAL) |
| Journal identifiers | ISSN: 2572-7923 • E-ISSN: 2572-7931 |
| Publisher | EnPress Publisher (PUBLISHER) |
| DOI | 10.24294/jipd10722 |
| OpenAlex | W4406346031 |
| Language | EN |
| References cited | 7 |
Artificial intelligence is experiencing unprecedented advancements, leading to the emergence of autonomous superintelligent systems that surpass human intelligence in various fields. These systems present novel legal challenges, particularly concerning criminal liability for crimes they may commit. This research examines the current legal frameworks. These frameworks are designed to determine the criminal liability of autonomous superintelligent system, with a focus on issues of intent, autonomous will, and their implications in the context of superintelligent AI. The study highlights specific potential crimes, including cybercrimes and privacy violations, and underscores the urgent need to develop new legal frameworks that address the unique risks posed by these systems. Additionally, the role of international conventions, such as the Budapest Convention, in shaping global standards for these challenges is evaluated. The research argues that current legislation is inadequate and emphasizes the need for legal reform to keep pace with technological advancements, offering a forward-looking approach to criminal responsibility in the age of Artificial Super intelligent
Business · Commit · Convention · Criminal investigation · Criminal law · Criminal liability · Legal liability · Legislation · Liability · Pace · Political science · Adversarial Robustness in Machine Learning · Computer Science · Ethics and Social Impacts of AI · Law · Neuroethics, Human Enhancement, Biomedical Innovations
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| Highly cited | No |
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