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

Kamaruddin, Saslina; Mohammad, Ani Munirah; Saufi, Nadia Nabila Mohd; Rosli, Wan Rosalili Wan; Othman, Mohd Bahrin; Hamin, Zaiton

doi:10.1109/icdt57929.2023.10150615

Cited by 7 publications

(4 citation statements)

References 28 publications

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“…Blockchain technology offers robust security features, but it also raises questions about data privacy, particularly in relation to the transparency and immutability of the blockchain. AI systems, which process vast amounts of data, must adhere to strict data protection regulations to prevent misuse or unauthorized access [27].…”

Section: Ethical and Legal Considerations A Data Privacy And Securitymentioning

confidence: 99%

Blockchain and AI in Reducing Inventory Fraud and Errors

Singh,

Adhikari

2023

IJRASET

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This paper examines the integration of Blockchain and Artificial Intelligence (AI) in enhancing inventory management. It highlights how these technologies synergistically improve accuracy and efficiency, significantly reducing fraud and errors. The study explores Blockchain's secure ledger and AI's predictive analytics, emphasizing their practical applications in various industries. Challenges such as technical complexities and ethical considerations, including data privacy and regulatory compliance, are also addressed. The paper concludes by discussing the implications for businesses and researchers, underscoring the transformative impact of these technologies in inventory management and the necessity for ongoing innovation and ethical vigilance

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Section: Ethical and Legal Considerations A Data Privacy And Securitymentioning

confidence: 99%

Blockchain and AI in Reducing Inventory Fraud and Errors

Singh,

Adhikari

2023

IJRASET

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“…Academics explore the concepts of responsibility, transparency, and user consent. The ethical ramifications of data collecting and processing are a topic of constant discussion, especially in situations where people might not completely understand the scope of data usage [27]- [29].…”

Section: Ethical Considerationsmentioning

confidence: 99%

Protection of Privacy and Intellectual Property Rights in Digital Data Management in Indonesia

Hanafi,

Lubis

2023

Law hum.

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This study looks into how intellectual property rights and privacy protection overlap when it comes to digital data management in Indonesia. With an emphasis on the legal, technological, and ethical aspects, the study uses a mixed-methods approach that includes case studies, legal analysis, and qualitative interviews. The analysis highlights the necessity for continual adaptation while revealing a strong legal framework, which is mainly supported by the Personal Data Protection Act (PDPA). The importance of cutting-edge technologies like blockchain and encryption is also highlighted by the findings, which also emphasize the moral issues that must be taken into account for responsible data management. The study finishes with practical suggestions that attempt to find a fine balance between protecting privacy and promoting innovation for decision-makers, corporations, and other interested parties.

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“…In the context of online public services, personal data protection is essential to avoid exposure of personal data online [9]. Similarly, cloud data security and privacy are essential to prevent unauthorized access, data modification, data loss, and theft [10]. AI-based security measures are increasingly being adopted to detect risks and secure systems and data [11].…”

Section: Introductionmentioning

confidence: 99%

Data Encryption and Anonymization Techniques for Enhanced Information System Security and Privacy

Pratomo,

Mokodenseho,

Aziz

2023

WSIST

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The rapid evolution of digital technology has ushered in a new era of data-driven information systems, bringing both unprecedented convenience and complex challenges to the forefront. This research delves into the realm of data encryption and anonymization techniques to enhance the security and privacy of information systems. The study encompasses a comprehensive exploration of diverse encryption and anonymization methods, evaluating their effectiveness through qualitative and quantitative analysis. A bibliometric analysis, facilitated by VOSviewer, unveils influential authors, research trends, and collaborative networks in the field. The research sheds light on the practical implications of encryption and anonymization techniques through real-world case studies and offers insights into the multidimensional landscape of information system security and user privacy.

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

Cited by 7 publications

References 28 publications

Blockchain and AI in Reducing Inventory Fraud and Errors

Blockchain and AI in Reducing Inventory Fraud and Errors

Protection of Privacy and Intellectual Property Rights in Digital Data Management in Indonesia

Data Encryption and Anonymization Techniques for Enhanced Information System Security and Privacy

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