How can organizations balance the need for transparency and accountability with the protection of sensitive data when implementing artificial intelligence and data analytics in their knowledge management systems?

Organizations can balance the need for transparency and accountability with the protection of sensitive data by implementing strict data governance policies and controls. This includes defining clear guidelines for data access, usage, and sharing, as well as ensuring compliance with data privacy regulations. Additionally, organizations can use encryption and anonymization techniques to protect sensitive data while still allowing for analysis and insights to be derived from it. Regular audits and monitoring of data usage can also help ensure that sensitive information is not being misused or exposed.