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Press factsheet PDF
One-page publisher factsheet with title, status, formats, publication date, audience, promise, and media angles.
Media kit
Press materials for Ungoverned Intelligence.
Prepared for journalists, reviewers, podcast hosts, event organizers, institutional partners, and executive teams covering AI governance, data governance, autonomous agents, and digital public trust.
Publisher press room
Approved materials for reviews, interviews, event listings, institutional briefings, and publication announcements.
Book at a glance
Approved materials for reviews, interviews, event listings, institutional briefings, and publication announcements.
Use this page for publication facts, approved descriptions, author materials, review-copy inquiries, podcast preparation, event listings, and institutional media references.
Ungoverned Intelligence is a leadership book for governing data, AI systems, and autonomous agents before speed, scale, and automation turn weak governance into institutional failure.
TitleUngoverned Intelligence
SubtitleHow Leaders Can Build Trust Before AI Scales Beyond Control
AuthorFateh uddin B. Mehmood
PublisherVeridica Press
Publication date15 August 2026
ISBNTo be confirmed
Length780 pages
Trim size6 x 9 in
PricesPrices to be announced
Review copiesAvailable by request for qualified media, reviewers, event organizers, and institutional partners.
Author portrait
Official author portrait.
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Opening sample booklet
Designed Prologue sample booklet for reviewers, media, event hosts, and readers evaluating the book.
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Speaker one-sheet PDF
Premium one-sheet for event organizers, executive programs, board briefings, and public-sector sessions.
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Press release PDF
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Author bio PDF
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Trust Stack board plate
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Book cover PNG
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Author portrait PNG
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Open Graph image
Author bios
Short bio
Fateh uddin B. Mehmood is the author of Ungoverned Intelligence, a leadership book on governing data, AI systems, and autonomous agents before weak governance becomes institutional failure.
Long bio
Fateh uddin B. Mehmood writes from the intersection of data governance, AI governance, digital government, machine-readable governance, and institutional accountability. His work focuses on the institutional foundations of trust: data ownership, source authority, evidence, control, auditability, and leadership accountability. Ungoverned Intelligence turns that practical governance work into a leadership architecture for executives, boards, regulators, public-sector leaders, risk teams, and AI governance professionals who must make AI trustworthy at scale.
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Why AI governance begins before the model
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The Trust Stack: governing the layers beneath AI trust
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What leaders must know before AI agents act
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Why data governance becomes AI governance when machine output enters decision paths
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Why nations are also data systems in the age of AI
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How to move from AI policy to AI controls that can be evidenced and audited
Review copies, interviews, podcast bookings, speaking inquiries, and media requests: media@ungovernedintelligence.com