Adaptive Data Governance Models Using Explainable AI
DOI:
https://doi.org/10.56472/ICCSAIML25-153Keywords:
Adaptive Data Governance, Explainable AI (XAI), Data Stewardship, Data Compliance, Automated Governance, Trustworthy AI, Human-in-the-Loop, Data Risk Management, AI Transparency, Data EthicsAbstract
As organizations increasingly rely on data-driven decision-making, the need for robust, dynamic, and transparent data governance models becomes critical. Traditional governance frameworks often fall short in addressing the challenges posed by the velocity, variety, and complexity of modern data ecosystems. This paper proposes a novel approach to data governance that is adaptive and responsive to evolving data landscapes by leveraging Explainable Artificial Intelligence (XAI). We explore how XAI techniques can be integrated into data governance frameworks to enhance accountability, compliance, and trust. The model emphasizes real-time adaptability, human-in-the-loop oversight, and transparent decision mechanisms. Through case studies and experimental evaluation, we demonstrate the efficacy of adaptive data governance powered by XAI in supporting compliance, minimizing risks, and fostering responsible data stewardship
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