AI Trust & Safety Assurance Registry Listing for
Last updated: Jan 7, 2025
FAIRLY LEVEL ONE
Assessment completed for AI Trust & Safety Assurance
ISO/IEC 42001
Independent Internal Audit completed for ISO 42001
AI Governance is the process of creating policies and controls to ensure organization accountability for risk and compliance of their AI systems and models.
Nebuly has adopted the NIST AI Risk Management Framework (RMF) 1.0 which includes actions, references, and related guidance to achieve the outcomes for the four functions in the AI RMF: Govern, Map, Measure, Manage
AI Risk Management is the process of identifying, assessing, mitigating, and monitoring risks associated with the development, deployment, and use of AI systems and models.
Nebuly has adopted the NIST AI Risk Management Framework 1.0 as their AI Risk Management framework:
- 1st Line: The Development Team regularly assesses model performance and updates the risk status based on current data.
- 2nd Line: The AI Trust & Safety team reviews and approves the risk status, ensuring that higher-risk models undergo additional validations using the Fairly AI Risk and Oversight platform.
- 3rd Line: Third party validation service from Fairly AI evaluates the accuracy and appropriateness of the risk status assigned to each model and reports any inconsistencies.
AI Compliance ensures that AI systems and their development, deployment, and usage adhere to relevant legal, regulatory, ethical, organizational standards and policies.
Nebuly has adopted ISO/IEC 42001 standards:
- ISO/IEC 42001 is the world’s first AI management system standard. It specifies requirements for establishing, implementing, maintaining, and continually improving an Artificial Intelligence Management System (AIMS) within organizations. It is designed for entities providing or utilizing AI-based products or services, ensuring responsible development and use of AI systems.
AI Incident Reporting
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Fairly AI Trusty & Safety Assurance Registry is a publicly accessible registry that documents the governance, risk and compliance controls implemented by organizations to make their AI systems safe, trustworthy and compliant.