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- Page ID
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The intellectual foundation, risk-management concepts, instructional approach, scenarios, and overall design of Risk Management – A Practicum were developed based on professional project-management experience, teaching practice, original instructional materials, and appropriately licensed Open Educational Resources (OER).
Generative artificial intelligence was used during the development and production of this book. Its use included drafting assistance, editing, instructional-material development, assessment support, organization, formatting, and selected media production. All final instructional and editorial decisions remained under human control.
AI Tools Used
The primary generative AI tool used in developing this book was ChatGPT by OpenAI. AI-assisted image-generation capabilities available through ChatGPT were also used for selected original illustrations and chapter graphics.
Specific model versions are not identified because the book was developed iteratively over time and the models available through the service changed during development.
How AI Was Used
Drafting and Instructional Development
The risk-management concepts, learning objectives, professional context, scenarios, instructional requirements, and pedagogical direction were established by the human author.
AI assisted with drafts and refinement of selected materials, including:
- Scenario Briefs and Plans of Attack;
- explanations and examples of risk-management concepts;
- risk identification, analysis, prioritization, and response activities;
- risk registers, probability-impact matrices, and related templates;
- mitigation, contingency, monitoring, control, and escalation activities;
- communication and collaboration exercises, including application of the SEW (Sensation–Emotion–Want) model;
- student worksheets, Tips & Traps, FAQs, and Resource Guides;
- reflection and debrief questions;
- quizzes, analytical questions, rubrics, and instructor guidance; and
- glossary and selected front- and back-matter content.
AI-assisted drafts were not automatically incorporated into the book. They were reviewed, corrected, reorganized, substantially revised, expanded, shortened, or rejected as appropriate.
Editing and Organization
AI was used to improve clarity, readability, organization, transitions, terminology, consistency across chapters, student accessibility, and formatting of human-created and human-directed material.
Assessments and Learning Activities
AI assisted with drafting and refining selected risk scenarios, exercises, worksheets, quizzes, analytical questions, reflection activities, rubrics, and evaluation criteria. Learning outcomes, instructional purpose, expected student performance, and final assessment requirements were determined through human instructional judgment.
Simulations and Instructional Artifacts
AI assisted with developing and refining selected fictional scenarios, risk registers, risk matrices, response plans, communications, templates, and other instructional artifacts. These materials were developed under human direction to simulate professional risk-management practice and were reviewed for consistency with the learning objectives and practicum storyline.
Media and Production
AI-assisted image-generation tools were used for selected original illustrations, chapter graphics, and other visual materials. AI also assisted with selected formatting and production tasks.
Representative Uses
Representative instructions provided to AI included requests to:
- develop a risk scenario from an established instructional context;
- refine explanations of risk identification, analysis, response, and monitoring;
- expand an author-defined SEW model activity for student application;
- organize a risk-management assignment into a student-facing Plan of Attack;
- refine risk-register and mitigation examples using provided materials;
- develop reflection, analytical, and assessment questions aligned with chapter objectives;
- review materials for consistency across the practicum; and
- create illustrations representing risk-management concepts.
These examples describe the general nature of AI assistance and are not an exhaustive record of individual interactions.
Guardrails and Human Review
The following guardrails were applied throughout development:
- AI was used with author-created materials, materials for which permission was available, and appropriately licensed OER and other permitted resources.
- AI-generated material was treated as draft material or an editorial/production aid, not as an authoritative source.
- AI-assisted content was checked against professional project- and risk-management experience, subject-matter knowledge, instructional objectives, and underlying instructional materials.
- Risk calculations, probability-impact assessments, response strategies, and other analytical materials were reviewed for consistency with the scenarios and intended learning outcomes.
- Factual and technical claims requiring external verification were checked against appropriate sources before publication.
- AI-assisted material was substantially revised where necessary to correct inaccuracies, resolve inconsistencies, preserve instructional intent, and reflect professional judgment.
- AI was not used to process or disclose private student information in the creation of this book.
- Human review determined what AI-assisted material was accepted, modified, or rejected, and final editorial control remained with the human author.
The human author retains responsibility for the human-authored contributions, instructional design, subject-matter review, editorial decisions, and final published work.