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The AI Alphabet™
A 26-concept framework designed to demystify AI for leaders. Organised into four themes: Data, Algorithms, Applications, and Risk, this structured approach ensures you can navigate the complexity of AI with confidence and clarity.
The AI Alphabet™
26 concepts. 4 themes. Everything a leader needs to navigate AI with confidence. Organised into Data (A–F), Algorithms (G–M), Applications (N–S), and Risk (T–Z).
Algorithms (G–M)
- G: Generative AI
- H: Hallucination
- I: Inference
- J: Judgement
- K: Knowledge Base
- L: LLM
- M: Machine Learning
Risk (T–Z)
- T: Transparency
- U: Unintended Consequences
- V: Vendor Risk
- W: AI Washing
- X: Explainability
- Y: Yield/ROI
- Z: Zero-trust
"A particularly valuable framework was the 'AI Alphabet' risk approach, encouraging leaders to think systematically about algorithms, accountability, bias, safety, and governance. Thank you for creating such a thoughtful and challenging learning environment."
Data (A–F)
- A: Artificial Intelligence
- B: Bias
- C: Computer Vision
- D: Data
- E: Embeddings
- F: Foundation Models
Applications (N–S)
- N: NLP
- O: Orchestration
- P: Prompt Engineering
- Q: Quality Assurance
- R: RAG
- S: Supervised Learning
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