Generative AI
Definition
PMBOK 8 (Appendix X3) describes artificial intelligence (AI) as a set of technologies that simulate human behavior on computers — systems that can reason, learn from experience, and adapt to new situations. Its common classification is a nesting ladder:
- AI — the broadest term: systems that reason, learn, and adapt.
- Machine learning (ML) — a subfield of AI that trains neural-network models on data.
- Deep learning — ML with many-layered neural networks.
- Generative AI (GenAI) — a subset of deep learning applying large language models (LLMs) to generate new content.
Advances such as LLMs have expanded AI’s applications rapidly; PMBOK 8 notes project professionals should build AI understanding to remain productive, and that the field’s pace demands adaptability. On tooling, free public versions typically limit prompt volume and — critically — paid/enterprise versions let users restrict their data from being used to retrain models, protecting privacy and intellectual property (X3.1.2, State of the Market).
Related concepts
Exam angle
- Know the nesting: GenAI ⊂ deep learning ⊂ ML ⊂ AI — a question may test that GenAI is the content-generating LLM subset, not a synonym for all AI
- Free vs. paid tools: when proprietary or sensitive data is involved, the deciding factor is data-retraining restrictions (privacy/IP), not cost or output quality
- Unpredictable output is a planning fact: scenarios with GenAI components often reward adaptive/hybrid responses (plan an iteration to analyze results) over fixed predictive specs