Series: IB Prepared – Artificial Intelligence, Ethics, and Inquiry

This open-access publication presents a comprehensive, 24-chapter curriculum designed for the International Baccalaureate (IB) Middle Years Programme (MYP) and Diploma Programme (DP). Intended for Computer Science SL/HL, Digital Society SL/HL, and Theory of Knowledge (TOK) courses, this textbook bridges the gap between casual AI usage and rigorous, reliable system engineering. Rather than focusing on fleeting prompt "tricks," this textbook teaches the durable disciplines of Eval-Driven AI Engineering. It guides students through the process of moving from fragile demos to reliable, production-ready AI systems. Students learn to define success criteria, build evaluation suites, implement the Generate → Evaluate → Repair loop, and maintain rigorous changelogs to manage model drift and version control. Structure and Features: The book is divided into seven parts, progressing from foundational concepts to advanced system architecture: · Part I: Why AI systems fail (Evaluation and Capability Gaps) · Part II: Building a reliable specification (Prompt Hygiene and Structure) · Part III: The discipline of iteration (Hypothesis testing and tool usage) · Part IV: Architecture (System design and version control) · Part V: Two real systems (Case studies in building support agents and scheduling systems) · Part VI: Safety, scale, and society (Ethics, cost, and multi-turn agents) · Part VII: The professional and the ethical (Debugging, anti-patterns, and teamwork) Pedagogical Framework: The textbook is built around a running, two-part project where students build a school helpdesk agent and a constraint-satisfying study planner. Every chapter includes: · IB Learner Profile and ATL skill alignments · Theoretical foundations and worked examples · "Pro Tips" and "Margin Glossary" definitions · Theory of Knowledge (TOK) discussion prompts · CAS (Creativity, Activity, Service) project connections · End-of-chapter assessment questions with full marking schemes A comprehensive Teacher's Guide is included, featuring one-year and two-year pacing guides, assessment rubrics, common misconception banks, and answer keys. Note: This is an independent publication and is not affiliated with, endorsed by, or produced in cooperation with the International Baccalaureate Organization (IBO) or Anthropic PBC. All case studies and data used in the exercises are fictional composites. Keywords [Add these as comma-separated tags in the Zenodo keyword field] Artificial Intelligence, AI Ethics, Prompt Engineering, IB Computer Science, IB Digital Society, Eval-Driven Engineering, AI Education, Theory of Knowledge, Large Language Models, Curriculum Design, AI Architecture, STEM Education.