Data Privacy and Data Governance in AI Solution: Solutions: Frameworks, Strategies, and Tools
In today’s data-driven world, ensuring the privacy and governance of data within artificial intelligence (AI) solutions is critical. This paper explores the importance of establishing robust frameworks for data privacy and governance within AI systems, addressing associated challenges, and offering practical strategies for implementation. Drawing upon leading practices, the paper aims to provide insights into the creation and maintenance of AI systems that prioritize privacy. It examines various frameworks, methodologies, and tools essential for effectively managing data privacy and governance in AI solutions. Through this comprehensive exploration, the paper seeks to equip stakeholders with the necessary knowledge and resources to navigate the complexities of data privacy within AI systems.
Published: 2024 International Journals of Multidisciplinary Research Academy.