Artificial Intelligence and Cybersecurity in Face Sale Contracts: Legal Issues and Frameworks

The sale of facial features is a new modern contractual development that resulted from the fast transformations in technology, leading to legal, and ethical obligations. As the need rises for human faces to be used in robots, especially in relation to industries that necessitate direct human interaction, like hospitality and retail, the potential of Artificial Intelligence (AI) generated hyper realistic facial images poses legal and cybersecurity challenges. This paper examines the legal terrain that has developed in the sale of real and AI generated human facial features, and specifically the risks of identity fraud, data misuse and privacy violations. Deep learning (DL) algorithms are analyzed for their ability to detect AI generated faces in order to potentially function as an AI safety in face sale agreement to allow the authenticity and protecting data. In addition, it examines the legal mechanisms surrounding consent, liability and data protection and suggests changes to help accommodate the complexity of AI. This paper proposes a framework by which AI tools can be integrated into the evolution of cybersecurity strategies, to mitigate risks and ensure compliance with such new legal standards and contribute to discussing the ethical and secure use of AI in Face sale contracts.

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Publication Details

Journal
Mesopotamian Journal of CyberSecurity
Published
2024-08-30
DOI
https://doi.org/10.58496/mjcs/2024/0012
Citations
7
Primary Topic
Law, AI, and Intellectual Property
Type
article
Field-Weighted Citation Impact
2.43
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article

Artificial Intelligence and Cybersecurity in Face Sale Contracts: Legal Issues and Frameworks

Ghadeer Ghazi Shayea, Yahya Layth Khaleel, Mustafa Abdulfattah Habeeb, Lobna Abdalhusen Easa Al-saeedi et al.
7 citations
Mesopotamian Journal of CyberSecurity
Law, AI, and Intellectual Property
2.43
article

Artificial Intelligence and Cybersecurity in Face Sale Contracts: Legal Issues and Frameworks

Ghadeer Ghazi Shayea, Yahya Layth Khaleel, Mustafa Abdulfattah Habeeb, Lobna Abdalhusen Easa Al-saeedi, Firas Jamal Shakir, Faris Kamil Hasan, Doaa Fadhil Gatea Albo mohammed
article en
7 citations

Abstract

The sale of facial features is a new modern contractual development that resulted from the fast transformations in technology, leading to legal, and ethical obligations. As the need rises for human faces to be used in robots, especially in relation to industries that necessitate direct human interaction, like hospitality and retail, the potential of Artificial Intelligence (AI) generated hyper realistic facial images poses legal and cybersecurity challenges. This paper examines the legal terrain that has developed in the sale of real and AI generated human facial features, and specifically the risks of identity fraud, data misuse and privacy violations. Deep learning (DL) algorithms are analyzed for their ability to detect AI generated faces in order to potentially function as an AI safety in face sale agreement to allow the authenticity and protecting data. In addition, it examines the legal mechanisms surrounding consent, liability and data protection and suggests changes to help accommodate the complexity of AI. This paper proposes a framework by which AI tools can be integrated into the evolution of cybersecurity strategies, to mitigate risks and ensure compliance with such new legal standards and contribute to discussing the ethical and secure use of AI in Face sale contracts.

Mesopotamian Journal of CyberSecurityVol. 4(2)
University of Baghdad (IQ), Imam Sadiq University (IR), Imam Ja’afar Al-Sadiq University, University of Tikrit (IQ)
Openalex Percentile: Top 9%
Law, AI, and Intellectual Property
2.43
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Artificial Intelligence and Cybersecurity in Face Sale Contracts: Legal Issues and Frameworks — Ghadeer Ghazi Shayea, Yahya Layth Khaleel, et al. · Mesopotamian Journal of CyberSecurity (2024) | TGRS Research Map | TGRS