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MAP-4.1 Approaches for mapping AI technology and legal risks of its components – including the use of third-party data or software – are in place, followed, and documented, as are risks of infringement of a third party's intellectual property or other rights.

NIST AI Risk Management Framework 1.0 · 1.0

Approaches for mapping AI technology and legal risks of its components –including the use of third-party data or software – are in place, followed, and documented, as are risks of infringement of a third-party’s intellectual property or other rights.

Quoted verbatim from NIST AI Risk Management Framework (AI RMF 1.0), which is in the public domain.

Mappings are CMDash’s own, seeded with the product and shown on both frameworks they connect. In the product they mean evidence you attach here also counts against the controls listed above.

These connectors produce data relevant to NIST AI Risk Management Framework 1.0’s MAP family, which is the granularity CMDash publishes — there is no pre-built per-control mapping, and claiming one would be inventing it. You decide which evidence answers which control.

Track MAP-4.1 with evidence behind it

In CMDash this control is a row with an owner, a status, uploaded evidence kept with its full history, and an export an assessor can read.

MAP-4.1 Approaches for mapping AI technology and legal risks of its components – including the use of third-party data or software – are in place, followed, and documented, as are risks of infringement of a third party's intellectual property or other rights. — NIST AI Risk Management Framework 1.0 | CMDash