AI and Data-Informed Leadership for Inclusive Decision-Making

The chapter is considered as the exploration of the transformational opportunities of artificial intelligence (AI) and the application of information analytics in creating a culture supportive of educational leadership reiterates the need to establish inclusive and fair systems of decision making. The chapter outlines principles for data-driven leadership that can overcome a key shortcoming of AI tools: their frequent inability to identify underlying systemic biases that traditional methods also miss. It involves a step-by-step analysis of the questions related to the use of algorithms, ethical aspects of the manipulation of information, and confidentiality and thus emphasizes the importance of providing balancing between automation and human control in the field of educational administration. This current study presents practical recommendations on the ethical implementation of AI, the improvement of professional abilities, and transparent data behavior through the synthesis of the internationally recognized paradigms with practical case studies.