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Two experienced corporate crisis advisors offer a thorough and approachable guide to successful crisis management from anticipation to resolution.
 
All organizations face crises from time to time, and at a time when news, information (or misinformation), and rumors can spread quickly, a timely and thoughtful response to a crisis, is critical. In this book, two industry insiders offer a  primer on how organizational leadership should prepare for and handle crises. The steps, plans, and cautions they offer show how organizations can deal openly and honestly with challenges while continuing to survive and prosper.
 
Thomas A. Cole and Paul Verbinnen show how successful crisis management requires a multi-disciplined approach enacted collaboratively under strong leadership. Drawing on many real-world examples, they speak to not only what to do during a crisis, but also the need for preparedness and post-crisis follow-up.  The book is organized around a broad range of discrete issues that need to be addressed in managing any crisis and provides the steps required to successfully address each of those issues. The authors urge crisis managers to focus attention equally on four phases of management: prepare, execute, recover, and then repeat (after reflecting on the results of the last crisis) with the next one. The emphasis is on preparation and planning, setting up the procedures, and organizing the teams that will respond to each crisis.
 
Unlike other crisis books that focus solely on communication, Collaborative Crisis Management goes further and in addition to communication, it discusses both the legal obligations and organizational challenges that accompany a crisis. The result is an indispensable guide for leaders, board members, and business students.
 

An eye-opening examination of how power—not technology—will define life with AI.

AI is inescapable, from its mundane uses online to its increasingly consequential decision-making in courtrooms, job interviews, and wars. The ubiquity of AI is so great that it might produce public resignation—a sense that the technology is our shared fate.
 
As economist Maximilian Kasy shows in The Means of Prediction, artificial intelligence, far from being an unstoppable force, is irrevocably shaped by human decisions—choices made to date by the ownership class that steers its development and deployment. Kasy shows that the technology of AI is ultimately not that complex. It is insidious, however, in its capacity to steer results to its owners’ wants and ends. Kasy clearly and accessibly explains the fundamental principles on which AI works, and, in doing so, reveals that the real conflict isn’t between humans and machines, but between those who control the machines and the rest of us.
 
The Means of Prediction offers a powerful vision of the future of AI: a future not shaped by technology, but by the technology’s owners. Amid a deluge of debates about technical details, new possibilities, and social problems, Kasy cuts to the core issue: Who controls AI’s objectives, and how is this control maintained? The answer lies in what he calls “the means of prediction,” or the essential resources required for building AI systems: data, computing power, expertise, and energy. As Kasy shows, in a world already defined by inequality, one of humanity’s most consequential technologies has been and will be steered by those already in power.
 
Against those stakes, Kasy offers an elegant framework both for understanding AI’s capabilities and for designing its public control. He makes a compelling case for democratic control over AI objectives as the answer to mounting concerns about AI's risks and harms. The Means of Prediction is a revelation, both an expert undressing of a technology that has masqueraded as more complicated and a compelling call for public oversight of this transformative technology.