Accountability and Transparency: Challenge: Determining who is responsible for decisions made by AI systems can be complex, especially when these systems operate autonomously. Relation to Organizational Crises: This can lead to a "Leadership Crisis" if the organization fails to establish clear accountability and transparency mechanisms. Lack of accountability can result in confusion, legal challenges, and a loss of stakeholder trust. It is crucial for organizations to have clear policies and governance structures in place to manage AI decision-making processes. Conclusion: Addressing these ethical challenges requires a proactive approach, including robust data protection measures, strategies for workforce transition, bias mitigation in AI algorithms