Book summary
Dark Sides of Leadership in the AI Era asks a question that is often obscured by promises of efficiency, innovation, and artificial superintelligence: what kinds of leadership are being written into the systems now reorganizing work, public life, and the conditions of the planet? This Routledge research monograph treats AI not as a disembodied tool and not as a single leader’s private intention, but as a layered organizational accomplishment. Executive speeches, product design, alignment policies, cloud infrastructures, consulting practices, investor stories, data work, water and energy demands, and the everyday conduct of users all enter the story.
The book develops Ghost Vortex as a Boje proposed construct for studying what returns beneath official accounts of responsible AI. The term joins the ghost—what has been declared absent but persists—with the vortex, a patterned movement that gathers dispersed traces. Ghost Vortex directs attention to the palimpsest of AI: answers that appear new may carry earlier inscriptions of corporate rhetoric, hidden labor, procurement decisions, guardrails, training data, and material arrangements. Plato’s cave remains important here. We meet the answer on the screen as a shadow and must ask what relations, exclusions, and costs make that answer possible.
The plural Dark Sides matters. This is not a book about declaring leaders villains, nor about pretending that a model has a single author. It is a research program for tracing interacting sides: moral answerability and evasion; leadership discourse and product behavior; consent and contestation; worker experience and automated management; data-center growth and community consequences; promises of safety and the practical capacity to correct harm. The book brings antenarrative, Bakhtinian answerability, qualimetrics, and SEAM—the socio-economic, environmental, and material hidden-cost ledger—into conversation with the emerging AI industry.
Its method is deliberately comparative and open to challenge. It collects public leadership discourse, studies AI products through repeatable prompt protocols, and reads the resulting transcripts alongside evidence of infrastructure, labor, governance, and affected voices. Seven-point coding makes patterns discussable; it does not replace interpretation, witness, or historical context. The goal is not to manufacture a scorecard that closes inquiry. It is to make visible the questions that official stories leave beneath the surface: Who benefits? Who bears the hidden cost? Who can contest an AI-mediated decision? Who is answerable when the story breaks?
The manuscript is developing through public dialogue. October Wednesday sessions invite readers, researchers, students, practitioners, prospective authors, and critics to read with the work rather than only receive it. The meetings are held October 7, 14, 21, and 28 at 9:00 a.m. Pacific, 10:00 Mountain, and noon Eastern. Participants may register through Eventbrite or request a Zoom calendar invitation from David through the World Scientific contact page. The invitation is simple: let there be light on the shadows, and let the people living with AI enter the story.

