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Leadership With AI and Trust

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Leadership With AI and Trust

Adapting popular leadership styles for AI

De Gruyter,

15 Minuten Lesezeit
7 Take-aways
Audio & Text

Was ist drin?

Business leaders need to understand AI to be ready to lead teams of skilled people and autonomous AI agents.

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Editorial Rating

9

getAbstract Rating

  • Comprehensive
  • Applicable
  • Well Structured

Recommendation

The growing business importance of generative AI and autonomous AI agents means today’s leaders must know how to adapt their leadership style to manage both people and technology, explains author Alex Zarifis. In the rapidly changing world of work, employees need leaders who understand and empathize with their challenges — and who have mastered AI well enough to make the most of its capabilities, handle its flaws, and maximize its potential. Zarifis’s accessible text explains practical ways leaders can manage the transition of incorporating AI into their teams’ work by drawing on the best elements of various kinds of leadership. The book also includes hands-on exercises to help you put your new skills into practice.

Summary

The AI-forward world needs corporate, political, and economic leaders who can handle both tech challenges and the needs of the human workforce.

The sudden prominence of artificial intelligence (AI) and agentic AI in people’s working, social, and fiscal lives is spurring a transformation in the world of business, government, and economic leadership. Today’s leaders must master “digital transformation” so they are equipped to oversee businesses that increasingly rely on digital technologies.

Autonomous AI agents use large language models, remember what they’ve already done, select their own tools, and plan their next steps. Deploying them in the context of work puts extra demands on leaders. Traditionally, only a few of a company’s leaders needed to be tech experts. They could deal with the relevant aspects of designing and manufacturing, say, cars or smartphones, while the rest of the company handled its overall work, which called for other types of training, skills, machines, and materials.

However, leaders still need the skills required to lead people, even as the workplace roles of generative AI and autonomous AI agents expand. Introducing AI into corporate...

About the Author

Dr. Alex Zarifis, a research affiliate at the Cambridge Centre for Alternative Finance (CCAF), studies and teaches the practical applications of technology in business. He contributed to government research in Germany and the UK and helped develop the first government-recognized university degree program on blockchain technologies. He has written more than 60 scholarly papers and book chapters, as well as the book Principles of FinTech: Financial Technology, Business Models and Strategic Innovation. He is the co-editor of FinTech and the Emerging Ecosystems; Business Digital Transformation; and AI, FinTech, and the Future of Robo-Advisory: Risk Management and Ethical Considerations.  

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