Sources

Chapter 1.1

  • Vaswani, A. et al. (2017): Attention Is All You Need. NeurIPS 2017. arxiv.org/abs/1706.03762
  • Ouyang, L. et al. (2022): Training language models to follow instructions with human feedback. arxiv.org/abs/2203.02155
  • Regulation (EU) 2024/1689 (EU AI Act), Official Journal of the EU, 13 June 2024. eur-lex.europa.eu
  • Anthropic: product and model documentation. docs.claude.com
  • 3Blue1Brown: Neural Networks / But what is a GPT? (video series). youtube.com/@3blue1brown

Chapter 1.2

  • Ji, Z. et al. (2023): Survey of Hallucination in Natural Language Generation. ACM Computing Surveys 55(12).
  • Lewis, P. et al. (2020): Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. NeurIPS 2020. arxiv.org/abs/2005.11401
  • Lin, S., Hilton, J., Evans, O. (2022): TruthfulQA: Measuring How Models Mimic Human Falsehoods. ACL 2022. arxiv.org/abs/2109.07958
  • Mata v. Avianca, Inc., U.S. District Court, S.D.N.Y., sanctions order of 22 June 2023 (Case 1:22-cv-01461).
  • Moffatt v. Air Canada, British Columbia Civil Resolution Tribunal, 2024 BCCRT 149.
  • Press coverage of the Deloitte Australia case (2025), incl. Australian Financial Review / Guardian Australia — verify before publication (pipeline note: source verification).
  • Expert contribution: Prof. Inwah Kim (structural vulnerability, failure-mode definitions and causes, output validation).

Chapter 1.3

  • Wei, J. et al. (2022): Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. NeurIPS 2022. arxiv.org/abs/2201.11903
  • White, J. et al. (2023): A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT. arxiv.org/abs/2302.11382
  • Anthropic: Prompt Engineering Overview. docs.claude.com/en/docs/build-with-claude/prompt-engineering/overview
  • Expert contributions: Prof. Inwah Kim (examples, core concepts, principles, impact areas); Shay Lou (practitioner perspective).

Chapter 1.4

  • OWASP Foundation: OWASP Top 10 for LLM Applications 2025. genai.owasp.org
  • Regulation (EU) 2016/679 (GDPR).
  • Regulation (EU) 2024/1689 (EU AI Act), esp. Art. 10 (data governance), Art. 50 (transparency).
  • Press coverage of the Samsung/ChatGPT incident (2023), incl. Bloomberg, 2 May 2023.
  • Anthropic: support documentation on privacy settings and retention periods. support.claude.com
  • Expert contribution: Shay Lou (real-world deployment perspective).

Chapter 1.5

  • Regulation (EU) 2024/1689, esp. Art. 4, 5, 6 ff., 50, 99; Annex III.
  • European Commission: AI Literacy — Questions & Answers. digital-strategy.ec.europa.eu/en/faqs/ai-literacy-questions-answers
  • artificialintelligenceact.eu: Article 4 commentary and implementation timeline.
  • Digital Omnibus on AI (AI Omnibus): Commission proposal of 19 Nov 2025; approval by the European Parliament on 16 June 2026, final adoption by the Council on 29 June 2026 — verify Official Journal publication before course publication.

Chapter 1.6

  • Regulation (EU) 2024/1689, Art. 4 (competence evidence), Art. 50 (labeling obligations).
  • ISO/IEC 42001:2023 (AI management systems) — as a further reference for company-wide documentation standards.
  • European Commission: AI Literacy — Questions & Answers (best-efforts standard, no certification requirement).
  • Expert contributions: Prof. Inwah Kim (reasons for documentation); Shay Lou (auditability in enterprise deployments).