ADVANCES IN DATA AND AI GOVERNANCE: NAVIGATING PRIVACY, COMPLIANCE, AND TRUST
Keywords:
AI Governance, Privacy-Preserving Technologies, Regulatory Compliance, Data Protection, Implementation FrameworksAbstract
This article examines the evolving landscape of data and AI governance, focusing on privacy, compliance, and trust in contemporary organizational environments. It explores recent advancements in privacy-preserving technologies, including federated learning and homomorphic encryption, while analyzing the implementation challenges organizations face in maintaining regulatory compliance. The article explores the impact of major regulatory frameworks like GDPR and HIPAA on AI development and deployment, highlighting the transformation in organizational approaches to data protection. The article also evaluates emerging technologies such as zero-knowledge proofs and quantum-resistant encryption, examining their role in shaping future privacy protection strategies. Furthermore, it addresses the critical aspects of organizational readiness, framework implementation, and compliance monitoring, providing insights into best practices for successful AI governance implementation.
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