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Engineering Trustworthy Intelligent Systems
Software Engineering, Governance, and Operational Trust in the AI
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Copyright © 2026 William T. O'Connell, Ph.D. All rights reserved.
First Edition
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No part of this publication may be reproduced, stored in a retrieval system, transmitted, distributed, or used in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, without the prior written permission of the copyright holder, except for brief quotations used in reviews, scholarly works, classroom discussion, or other uses permitted under applicable copyright law.
No permission is granted to use this publication, its figures, appendices, downloadable materials, website content, or associated resources for the training, fine-tuning, evaluation, synthetic-data generation, or commercial development of artificial intelligence, machine learning, large language model, or related systems without prior written authorization from the copyright holder.
This book is provided for educational and informational purposes only. The author and publisher make no representations or warranties regarding the completeness, accuracy, suitability, or applicability of the information contained herein.
The examples, organizations, repositories, workflows, governance structures, review boards, systems, and engineering artifacts presented in this book are intended for educational purposes. Lakeside Metropolitan University (LMU) and the Campus Operations and Incident Coordination Platform (COICP) are fictional constructs used to illustrate software engineering, governance, operational trust, and AI-era engineering concepts. Any resemblance to actual institutions, organizations, systems, persons, or events is coincidental.
References to products, companies, organizations, standards, technologies, frameworks, or services are the property of their respective owners. Such references are used solely for identification, educational discussion, or comparative purposes and do not imply endorsement.
The author has made reasonable efforts to ensure that repository paths, engineering examples, governance models, and technical discussions are accurate at the time of publication. However, software engineering practices, tools, regulations, standards, platforms, and AI technologies continue to evolve. Readers should verify current information and apply appropriate professional review before adopting any engineering, governance, security, operational, or AI-related practice.
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Edition: First Edition Version: 1.0 Published: July 2026
Website: https://etisframework.org