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Compliance to GDPR Data Protection and Privacy in Artificial Intelligence Technology: Legal and Ethical Ramifications in Malaysia

Kamaruddin, S.
; 
Mohammad, A.M.
; 
Mohd Saufi, N.N.
; 
Wan Rosli, Wan R.
; 
Othman, M.B.
; 
Hamin, Z.
Publication Date
2023-05
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Keywords
Computer crime, Data governance, Law, Legislation, Data protection, GDPR, Artificial intelligence, Privacy, Malaysia
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Peer-Reviewed
Yes
Open Access status
closedAccess
Accepted for publication
13/02/2023
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Management and Law Publications
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Abstract
AI is becoming increasingly important in cybersecurity. AI-based products detect risks and secure systems and data. Cybercriminals can use technology to launch more sophisticated attacks. AI-based security is in demand due to cyberattacks. With the adoption of AI technology, GDPR requires most countries to have legal measures to protect their citizens' data and privacy. Data protection and privacy issues arise when using AI technology. AI use must comply with GDPR, including obtaining consent for data processing, ensuring data accuracy, and giving individuals the right to access, correct, or delete their data. Organisations must also be transparent about how their AI makes decisions and not discriminate against individuals or groups. This study examines Malaysia's GDPR compliance on AI usage, data protection, and privacy in light of current concerns. This study analyses primary and secondary sources using doctrinal research. In 2022, Malaysia's banking, healthcare, and telecommunications sectors were hit by data breaches, indicating that AI is increasing data breaches. Thus, the government must examine citizen data protection and privacy concerns and re-examine its governance, including legal and regulatory mechanisms, to see if it conforms to international norms and consider reforms.
URI
http://hdl.handle.net/10454/19627
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Citation
Kamarudden S, Mohammad AM, Saufi NNM et al (2023) Compliance to GDPR Data Protection and Privacy in Artificial Intelligence Technology: Legal and Ethical Ramifications in Malaysia. In: International Conference on Disruptive Technologies (ICDT). 11-12 May 2023, Greater Noida, India. 284-288.
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https://doi.org/10.1109/ICDT57929.2023.10150615
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Conference paper
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