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AI-Powered Leadership

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AI-Powered Leadership

Mastering the Synergy of Technology and Human Expertise

Addison-Wesley,

15 mins. de lectura
7 ideas fundamentales
Texto disponible

¿De qué se trata?

To thrive in an AI-augmented future, business leaders must foster human-machine synergy.


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8

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Recommendation

As AI accelerates change in every sector, leaders must stop thinking of human workers and tech tools in opposing terms and, instead, work to foster human-AI synergy. Seasoned educators and practitioners Dave Silberman, Rich Maltzman, Loredana Abramo, and Vijay Kanabar present a visionary but grounded guide for leading in an AI-augmented world. They offer sharp insights into AI-human dynamics, the ethical dimensions of AI use, and how human skills must evolve. Their insights will help equip future-looking leadership to navigate complexity, unlock innovation, and stay relevant in the age of AI.

Summary

Leaders should take a “Both/And” approach to integrating AI into their organizations.

Companies have long tasked their leaders with making tough choices between polarized paths to desired outcomes — for example, choosing whether to prioritize technological efficiency or human creativity. But integrating AI into the workplace is not an “either/or,” humans-versus-machines dilemma. As AI pervades the business world, creating a more complex operating environment, leaders will need to adopt a new, synergistic paradigm.

As humans and AI work together, both parties’ strengths and weaknesses interplay. These “unseen dynamics” include humans’ biases and emotions, and AI systems’ algorithmic blind spots and data bias. Leaders must learn to recognize, understand, and leverage these unseen dynamics to avoid inefficiencies and foster innovation. Embracing a Both/And approach toward AI integration allows leaders to create conditions where humans and AI systems can work together, boosting the problem-solving and decision-making capabilities of humans through collaborative exchanges.

Leaders can create alignment and seamlessness in human-AI...

About the Authors

Dave Silberman draws on more than 25 years of experience as an executive across sectors. He holds an MS in project management and a PhD in human resources development. Rich Maltzman, PMP, has 40 years of industry experience and 30 years teaching project management, and is co-author of the award-winning Green Project Management. Loredana Abramo, PMP, has more than 30 years of global telecom experience, leading multinational teams and developing project management programs for a major corporation. Vijay Kanabar, a pioneer in applying AI in project management, is associate professor and director of Boston University’s project management programs. All teach in the administrative sciences department at BU.


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