Glossary
ZKML
ZKML refers to techniques that generate cryptographic proofs about a machine learning model's computation, aiming to verify claims without revealing all inputs or internals.
Plain-English meaning
ZKML is used here to describe zero-knowledge proofs for ml. In the daily board, the word is grouped by the role it performs rather than by spelling or market popularity.
You may encounter it in a product interface, technical document, risk report, policy paper, or market dashboard. The term is included for recognition and comparison, not as a product recommendation.
Why it belongs with Verifiable AI Infrastructure
These terms describe approaches for increasing trust in AI systems by adding proofs, attestations, or isolated execution.
When solving the puzzle, compare the job this term performs with nearby cards. A correct group usually shares a function, risk type, workflow, or market structure rather than simply sharing similar wording.
Where you might see it
You might encounter this term while reading educational explainers, product documentation, risk disclosures, market dashboards, or beginner guides. Always separate vocabulary learning from financial decision-making.