In today's digital age, organizations are amassing huge amounts of data from various sources. However, managing and utilizing this data effectively is becoming increasingly complex and challenging. The use of AI, particularly in regulated industries such as healthcare, finance, and law enforcement, has brought new ethical and legal considerations, raising concerns about data privacy, security, and potential biases in AI systems. Therefore, it is crucial for organizations to have clear policies and procedures in place to govern the collection, storage, and use of data being used by AI systems, and ensure that these systems are developed and used responsibly. In this session, you will learn about how organizations can implement proper governance and oversight of data used in AI systems, including issues of accuracy, bias, privacy, and security. Additionally, we will also explore the challenges and best practices for implementing data governance in organizations developing AI systems and the role of stakeholders in ensuring responsible AI development and use.