Abstract
The chapter outlines the integration of artificial intelligence (AI) into leadership strategies, emphasizing the transformative potential and challenges involved. It discusses various steps for effective AI implementation, including assessing AI readiness, selecting appropriate tools, considering ethical and bias implications, training leaders, integrating AI with human insights, and monitoring and evaluating AI's impact. Each section provides detailed insights into methodologies and best practices, highlighting the necessity of a strategic, ethically-grounded approach to AI in leadership.
Reference163 articles.
1. AgrawalA.GansJ. S.GoldfarbA. (2018). Prediction machines: The simple economics of artificial intelligence. Harvard Business Press.
2. AlpaydinE. (2010). Introduction to machine learning. MIT Press.
3. Motivating Creativity in Organizations: On Doing What You Love and Loving What You Do
4. AmabileT. M.KramerS. J. (2011). The progress principle: Using small wins to ignite joy, engagement, and creativity at work. Harvard Business Review Press.
5. Reflection as a strategy to enhance task performance after feedback