Stage 2 · Lesson 1 of 6
What counts as an AI system
Before you can list , you need a definition. The , following the OECD, describes an AI system as a machine-based system that works with some autonomy and infers from its inputs how to produce outputs such as predictions, content, recommendations or decisions.
In practice an inventory should include models you train, models you call through an , AI features inside software you buy (a that scores leads, an HR tool that ranks CVs) and AI tools staff use on their own, such as chat assistants. Simple rule-based logic written entirely by people is usually outside the definition.
Common traplisting only what the data science team built, while most AI risk now arrives through vendors and everyday tools.
A question to check yourself, an AI practice session and 3 cheat sheet entries come with the full roadmap. Unlock
Resources for this stage
Start with· follow one of these
- GuideFreeNIST AI Risk Management Framework (AI RMF)
National Institute of Standards and Technology (NIST) · Intermediate
The Map function is the reasoning behind every inventory entry: context, purpose and who is affected
- GuideFreeEU AI Act: regulatory framework for AI (European Commission)
European Commission · Beginner
Provider, deployer and the risk tiers, the two labels every inventory entry needs