American Journal of Advanced Multidisciplinary Research and Innovation

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Volume 8 Issue 5
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Data Governance, Privacy, and Trust in Artificial Intelligence-Driven Organizations

Author(s) Tommi Jaakkola
Country United States
Abstract The rapid adoption of Artificial Intelligence (AI) is transforming organizational decision-making, customer services, operational management, risk assessment, and strategic planning. However, the effectiveness and legitimacy of AI-driven organizations depend heavily on how data are collected, managed, protected, processed, and used. Weak data governance can result in privacy violations, algorithmic bias, security vulnerabilities, regulatory non-compliance, and declining stakeholder trust. This study examines the relationship between data governance, privacy, and trust in organizations increasingly dependent on AI-driven systems. A qualitative and analytical research methodology based on secondary literature, regulatory frameworks, academic research, and industry reports is adopted. The study investigates major dimensions of AI data governance, including data quality, ownership, access control, accountability, transparency, privacy protection, ethical data use, and organizational oversight. The analysis indicates that effective data governance can improve the reliability and explainability of AI systems while strengthening stakeholder confidence. Privacy-preserving approaches such as data minimisation, anonymisation, encryption, federated learning, and privacy-aware system design can further reduce risks associated with AI-based data processing. Nevertheless, organizations face challenges involving fragmented data environments, unclear accountability, cybersecurity threats, regulatory complexity, and limited AI governance capabilities. The study concludes that trust in AI cannot be achieved through technical performance alone. Organizations must establish integrated governance frameworks that combine technological safeguards, ethical principles, regulatory compliance, human oversight, and transparent communication.
Keywords Data Governance, Artificial Intelligence, Data Privacy, Organizational Trust, AI Governance, Cybersecurity, Data Ethics, Responsible AI.
Field Engineering
Published In Volume 4, Issue 2, March-April 2022
Published On 2022-04-06
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