“Should everyone have access to AI? " Perspectives on Ownership of AI tools for Security

Given the widespread concerns about the integration of Artificial Intelligence (AI) tools into security and law enforcement, it is natural for digital governance to strive for greater inclusivity in both practice and design (Chohan and Hu, 2020). This inclusivity can manifest in several ways, such as advocating for legal frameworks and algorithmic governance (Schuilenburg and Peeters, 2020), allowing individuals choice, and addressing unintended consequences in extensive data management (Peeters and Widlak, 2018). An under-reflected aspect is the question of ownership, i.e., who should be able to possess and deploy AI tools for law enforcement purposes. Our interview findings from 111 participants across seven countries identified five citizens viewpoints with respect to AI ownership of security-related AI: (1) Police and police-governed agencies; (2) Citizens who disassociate themselves; (3) Entities other than the police; (4) All citizens including themselves; and (5) No one or Unsure. The five clusters represent disparate perspectives on who should be responsible for AI technologies, as well as related concerns about data ownership and expertise, and thus link into broader discussions on responsibility for security, i.e., what deserves protection, how and by whom. The findings contribute theoretically to digitalization, smart technology, social inclusion, and security studies. Additionally, it seeks to influence policy by advocating for AI development that addresses citizen concerns, thereby mitigating risks, social, and ethical implications associated with AI. Crucially, it aims to highlight citizens’ concerns around the potential for malicious actors to exploit ownership of such powerful technology for harmful purposes.

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Publication Details

Journal
Proceedings of the International Conference on AI Research.
Published
2024-12-04
DOI
https://doi.org/10.34190/icair.4.1.3029
Primary Topic
Legal and Policy Issues
Type
article
Field-Weighted Citation Impact
0.00

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article

“Should everyone have access to AI? " Perspectives on Ownership of AI tools for Security

Petra Saskia Bayerl, Yasmine Ezzeddine
Proceedings of the International Conference on AI Research.
Legal and Policy Issues
article

“Should everyone have access to AI? " Perspectives on Ownership of AI tools for Security

Petra Saskia Bayerl, Yasmine Ezzeddine
article en

Abstract

Given the widespread concerns about the integration of Artificial Intelligence (AI) tools into security and law enforcement, it is natural for digital governance to strive for greater inclusivity in both practice and design (Chohan and Hu, 2020). This inclusivity can manifest in several ways, such as advocating for legal frameworks and algorithmic governance (Schuilenburg and Peeters, 2020), allowing individuals choice, and addressing unintended consequences in extensive data management (Peeters and Widlak, 2018). An under-reflected aspect is the question of ownership, i.e., who should be able to possess and deploy AI tools for law enforcement purposes. Our interview findings from 111 participants across seven countries identified five citizens viewpoints with respect to AI ownership of security-related AI: (1) Police and police-governed agencies; (2) Citizens who disassociate themselves; (3) Entities other than the police; (4) All citizens including themselves; and (5) No one or Unsure. The five clusters represent disparate perspectives on who should be responsible for AI technologies, as well as related concerns about data ownership and expertise, and thus link into broader discussions on responsibility for security, i.e., what deserves protection, how and by whom. The findings contribute theoretically to digitalization, smart technology, social inclusion, and security studies. Additionally, it seeks to influence policy by advocating for AI development that addresses citizen concerns, thereby mitigating risks, social, and ethical implications associated with AI. Crucially, it aims to highlight citizens’ concerns around the potential for malicious actors to exploit ownership of such powerful technology for harmful purposes.

Proceedings of the International Conference on AI Research.Vol. 4(1)
Sheffield Hallam University (GB)
European Commission
Reduced inequalities
Openalex Percentile: Top 59%
Legal and Policy Issues
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