Leadership with AI and Trust: Adapting Popular Leadership Styles for AI
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This book enables leaders to fully utilize AI and build trust in their team and other stakeholders. Leadership has a long history but it never stops evolving. This constant evolution can be a slow gradual shift from one leadership style to another, while other times, this change is far more dramatic. We have been going through the gradual increase in the popularity of transformational leadership at the expense of traditional authoritarian management but now, due to AI, we are going through a more extreme transformation. This dramatic change, often referred to as digital transformation, is also a human transformation. The question arises: How will you lead people and generative AI?The ambidextrous leader adapts their processes to fully utilize AI and builds trust in people. Furthermore, the ambidextrous leader empathises with people. A leader in AI and trust can understand their context and the stage in a project that they are in currently, the challenges they will face now, and in the subsequent stages, and acts accordingly.This book goes through the popular leadership styles, their strengths and weaknesses, how they can influence AI use, and build trust. The book then offers its proprietary blend of transactional, servant and transformational leadership that achieves the best results.
Dr Alex Zarifis is a lecturer in information systems at the University of Southampton in England and also teaches on the Executive MBA of PSL University. Both of these universities are among the 100 best in the world according to the QS rankings of 2024. His research and teaching are on leadership and the practical applications of technology in business. He has worked at several universities including the University of Cambridge, University of Manchester, and the University of Mannheim. He is currently a research affiliate of the Cambridge Center for Alternative Finance (CCAF). Dr Alex has worked on large EU and UK funded research projects at the Karlsruhe Institute of Technology (KIT) and Loughborough University. He also participated in creating the first, government recognised, university degree on blockchain technologies in the world in 2013. He obtained his PhD from the University of Manchester.
His research interests include leadership, trust, electronic business, artificial intelligence, blockchain, Fintech and Insurtech. He has over forty publications and his work has featured in journals such as Computers in Human Behaviour, Information Technology and People, Electronic Commerce Research, International Journal of Electronic Business and Internet Research.
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