Formulating Global Policies and Strategies for Combating Criminal Use and Abuse of Artificial Intelligence

Amaka Debie Samuel-Okon *

Debase Film Production, Calabar South Local Government Area, Cross River State, Nigeria.

Omobolaji Olufunmilayo Olateju

University of Ibadan, Oduduwa Road, Ibadan, Oyo State, Nigeria.

Samuel Ufom Okon

First Bank DR Congo, Gombe, Democratic Republic of the Congo.

Oluwaseun Oladeji Olaniyi

University of the Cumberlands, 104 Maple Drive, Williamsburg, KY 40769, United States of America.

Udochukwu ThankGod Ikechukwu Igwenagu

Prairie View A&M University, 100 University Dr, Prairie View, TX 77446, United States.

*Author to whom correspondence should be addressed.


Abstract

This study investigates the criminal use and abuse of artificial intelligence (AI), exploring the effectiveness of various mitigation strategies. It employs a mixed-methods approach, combining quantitative data from a survey of 211 experts with qualitative insights from academic, governmental, and industrial publications. The research examines four key hypotheses: the impact of public and organizational awareness, the role of advanced detection technologies, the effectiveness of ethical guidelines, and the influence of penalties and enforcement. The findings reveal that awareness, technology, ethics, and enforcement all contribute to mitigating AI misuse. The study concludes by proposing comprehensive strategies, including targeted awareness campaigns, investment in detection technologies, robust ethical guidelines, and strengthened legal frameworks, to effectively combat the criminal use of AI.

Keywords: Artificial Intelligence, AI misuse, cybercrime, ethical guidelines, regulatory frameworks


How to Cite

Amaka Debie Samuel-Okon, Omobolaji Olufunmilayo Olateju, Samuel Ufom Okon, Oluwaseun Oladeji Olaniyi, and Udochukwu ThankGod Ikechukwu Igwenagu. 2024. “Formulating Global Policies and Strategies for Combating Criminal Use and Abuse of Artificial Intelligence”. Archives of Current Research International 24 (5):612–629. https://doi.org/10.9734/acri/2024/v24i5735.