The rapid adoption and integration of Artificial Intelligence in business operations are causing a shift in the way management operates and how leaders and managers think.
Rather than replacing leaders, AI is now becoming a collaborator in leadership who assists in human judgment, long-term planning, as well as improved work efficacy. This study examines numerous research on how humans and AI collaborate in leadership. This study examines the role of the capabilities of AI in leadership outcomes such as the quality of decisions, the ability to adapt strategies, innovation, trustworthiness, and ethics based on 162 research studies between 2010-2025. In addition, the study applies a unique analysis technique called ‘random effects meta-analysis’ in order to determine that work with AI enhances leadership qualities and organizational performance. It also highlights the necessary factors involved in this process and these include the level of clarity with respect to the AI capabilities and the degree to which leaders are aware of the related technology. Using the results obtained in this research work, the paper demonstrates the development of a new framework that combines the various theories to understand how leaders and AI interact to add value.
The new paradigm offers an improvement on leadership concepts in the way we think about AI. We are not only thinking of AI as a technology tool but also thinking of it as an important leadership partner. There are important concepts such as the relationships between humans and AI, the ability to explain AI systems clearly, and the responsible use of AI that are central to future leadership. In the applications context, the study provides advice to leaders in the fields of business and government wanting to come up with the best approaches on how to use AI. With the integration of various research concepts and the provision of the whole paradigm model, the study helps initiate discussion on the topic of leadership and the management of the digital era.
Zhang, B., Liao, Q. V., & Bellamy, R. K. E. (2020).Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making. Proceedings of the ACM on Human-Computer Interaction.