Introduction
Notes on the 2nd Edition of this textbook
This second edition reflects the rapid maturation of artificial intelligence and its expanding role in business decision-making, organizational design, and managerial responsibility. Since the first edition was written (only 2 years ago!), AI has evolved from primarily task-focused tools into increasingly integrated systems capable of supporting workflows, coordinating actions, and influencing outcomes at scale. As a result, this edition shifts the emphasis from understanding individual AI techniques to understanding how AI functions as part of broader organizational systems. New and revised chapters address AI-enabled workflows, human–AI collaboration, governance, accountability, and emerging trends that shape the future of work, ensuring the text remains relevant in a fast-changing technological landscape.
In addition to updating technical concepts, this edition places greater emphasis on managerial judgment, ethical responsibility, and organizational readiness. While foundational AI and machine learning concepts remain essential, experience has shown that the most significant challenges organizations face are not technical limitations, but questions of oversight, trust, risk management, and human decision-making. To support this perspective, the second edition introduces clearer frameworks, real-world examples, visual illustrations, and reflective questions that help students understand AI as a strategic and managerial capability rather than a purely technical one. Together, these changes aim to better prepare students to lead, design, and govern AI-enabled organizations responsibly—both today and in the uncertain future ahead.
I hope you find this OER textbook useful.
Roy L. Wood, Ph.D.