AI Books for Change Managers

Ten Must-Read AI Books for Change Managers

Artificial intelligence (AI) has rapidly evolved from a buzzword to a game-changer for businesses worldwide. For Change Managers, understanding AI is now a necessity. With its potential to reshape industries, AI presents both opportunities and challenges for organisations navigating transformation. These ten carefully selected books provide essential insights for Change Leaders looking to stay ahead of the curve.

AI Ethics by Mark Coeckelbergh

Delve into the ethical complexities of AI, exploring topics like fairness, bias, and accountability

Get the tools to guide organisations through the ethical challenges of AI adoption, ensuring that AI initiatives align with organisational values.

Applying Artificial Intelligence to Project Management by Paul Boudreau

Practical guides illustrate how AI can enhance Project Management by automating routine tasks, optimising workflows, and improving decision-making

Since Project Management often intersects with change initiatives, this book offers valuable strategies for streamlining large-scale transformations.

Artificial Intelligence in Practice by Bernard Marr

50 real-world case studies, providing examples of how companies have successfully integrated AI to solve business challenges

Draw from these case studies to better anticipate potential hurdles and design effective strategies for AI-driven change.

Atlas of AI by Kate Crawford

AI’s environmental, social, and political impacts is examined, reminding us that AI is not just a tool for operational efficiency

Benefit from understanding the broader implications of AI adoption, especially in terms of sustainability and ethical responsibility.

Calling Bullsh*t by Carl T. Bergstrom & Jevin D. West

Get equipped with the tools to critically evaluate data, algorithms, and statistics. In the era of AI, where data guides decision-making

Cultivate a healthy scepticism to ensure responsible use of AI-generated insights.

Ethical Machines by Reid Blackman

Practical steps for designing and implementing ethical AI systems

These insights are crucial for fostering transparency, accountability, and fairness during AI transformations.

Prediction Machines by Ajay Agrawal, Joshua Gans & Avi Goldfarb

AI’s core function – prediction – this book simplifies the technology’s economic implications

Leverage these insights to improve decision-making processes and anticipate challenges during organisational shifts.

The AI Factor by Asha Saxena

Explore how AI can reshape business strategy and drive operational efficiencies

Especially useful when aligning AI initiatives with broader organisational goals.

The Business of Big Data by Uri Bram & Martin Schmalz

Organisations can harness big data to drive innovation and improve decision-making

Understanding the role of big data in AI transformations is critical for Change Leaders managing data-centric projects.

Weapons of Math Destruction by Cathy O’Neil

Critical analysis of algorithms exposes how they can perpetuate inequality and bias

Change Managers need to understand these risks to ensure that AI initiatives promote fairness and transparency.

Conclusion

These ten books are essential reads for any Change Leader seeking to navigate the rapidly evolving landscape of AI. By equipping yourself with the knowledge they offer, you’ll be better prepared to lead your organisation through AI-driven transformations.

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*Declan Foster is the Founder & CEO of Project Pal AI, Thought Leader and Author. Declan is an industry leader in Change Management and project delivery and provides consulting services to clients globally. This is article #1 from his new series on AI