AI training glossary
128 terms explained in plain English.
A
- AI champion(AI ambassador)A staff member who learns AI tools early and helps colleagues adopt them by sharing examples and answering questions.Roles and skills
- AI fluencyThe ability to work with AI effectively, efficiently, ethically and safely in your own tasks. The AI Fluency framework by Rick Dakan and Joseph Feller describes it through four competencies: delegation, description, discernment and diligence.Roles and skills
- AI literacyUnderstanding what AI is, what it can and can’t do, and what its risks are, well enough to use it safely and judge its output.Roles and skills
C
- Change managementA structured approach to helping people adopt a new way of working, covering communication, training, support and handling resistance.Roles and skills
- Chief AI Officer(CAIO)A senior leader responsible for an organization’s AI strategy, adoption and governance. Dubai’s 2024 AI blueprint required every Dubai government entity to appoint one.Roles and skills
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- FacilitatorA person who guides a group’s discussion and activities so participants reach conclusions themselves, often without being the subject expert.Roles and skills
- Future skills(Future-ready skills)Skills expected to grow in demand as work changes. Lists usually include AI and data skills alongside judgment, communication and adaptability.Roles and skills
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Commonly confused terms
AI literacy is understanding what AI is and what it can and can’t do. AI fluency is the practical ability to work with it well on your own tasks. Literacy comes first; fluency comes from practice.
Upskilling improves how someone does their current job. Reskilling prepares them for a different job.
A workshop is hands-on: participants practice on real tasks. A masterclass is expert-led and deep on one topic, with more demonstration than practice. “Training” is the umbrella term for both.
An assistant responds to each request and waits for the next one. An agent takes a goal, plans the steps and uses tools to carry them out with less direction.
An outcome states what the learner can do afterward. An objective states what the trainer aims to achieve. Many organizations use the two interchangeably.
A certificate of completion shows someone finished a course. A certification shows they passed an assessment against a standard. Accreditation is when an external body approves the course or provider itself.
E-learning is delivered entirely through digital platforms. Blended learning combines online study with in-person sessions. Live online training is real-time and trainer-led over video.
A self-paced course runs on each learner’s schedule. A cohort-based course moves a group through together on fixed dates, with live sessions and peer discussion.