How can organizations strike a balance between leveraging the benefits of artificial intelligence and data analytics in their knowledge management systems, while also ensuring transparency and accountability in their decision-making processes to build trust with stakeholders and customers?

Organizations can strike a balance by implementing clear guidelines and ethical frameworks for the use of AI and data analytics in their knowledge management systems. They can also prioritize data privacy and security measures to protect sensitive information. Additionally, organizations should regularly communicate with stakeholders and customers about how AI and data analytics are being used and the rationale behind decision-making processes. By being transparent about their methods and outcomes, organizations can build trust and credibility with stakeholders and customers.