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Model Risk Management (SR 11-7) uye AI
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NIST’s AI Risk Management Framework (AI RMF 1.0) is a voluntary, cross-sector framework for managing risks to individuals, organizations and society across AI design, development, deployment and use.
Teerera kugwaro iriAI-yakarondedzerwa · ~2 min
The AI RMF 1.0 organizes risk-management activities into Govern, Map, Measure and Manage. Govern is cross-cutting; Map establishes context and identifies risks; Measure analyzes risks; Manage prioritizes and responds to them. NIST describes the framework as voluntary. NIST’s AI RMF Playbook provides suggested actions, and the 2024 Generative AI Profile applies the framework to generative-AI risks such as confabulation. These resources are guidance, not legal requirements or certifications.
An organization can use Govern to assign responsibilities and policies for AI risk management.
A project team can use Map to document its context, intended use and affected stakeholders.
A team can use Measure to evaluate identified risks with appropriate qualitative and quantitative methods.
A team can use Manage to prioritize responses and monitor residual risks.
Organizations may choose to use the AI RMF as one input to their own governance and risk-management processes. NIST may publish additional profiles, but adoption and crosswalks depend on the organization and applicable requirements. Check current NIST publications rather than assuming the framework is becoming a universal procurement or compliance baseline.
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NIST’s AI Risk Management Framework (AI RMF 1.0) is a voluntary, cross-sector framework for managing risks to individuals, organizations and society across AI design, development, deployment and use.
Iyo dhizaini yakavakirwa yakatenderedza Govern, Mepu, Measure, uye Manage, neGovern sebasa rekucheka-cheka kupa vamwe chikafu.
Iyo AI RMF ndeyekuzvidira pachena uye chikamu-agnostic, ichipa nhungamiro pane kuteedzera zvinotemerwa.
Govern inogadza tsika, marongero, uye kuzvidavirira zvimiro zvinotsigira Mepu, Mera, uye Manage.
Kuwana muhumwe hunhu, sekururama, kunogona kuuya nemubhadharo weimwe, sekuvanzika kana kururamisira, saka dzinofanirwa kuve dzakaenzana.
Iyo 2024 Generative AI Profile inogadzirisa njodzi dzakasarudzika kuLLMs, senge confabulation, kuburitswa kwedata, uye zvinokuvadza zvemukati.
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InoteveraGaidhi rinotevera
Model Risk Management (SR 11-7) uye AI
Nzanga