AI Governance Standards
8 standards in the AI Governance category.
Ai-governance
ISO/IEC 23659:2024 (AI Risk Mgmt)
Adhering to ISO/IEC standards during software migrations is critical for ensuring quality, reliability, and compliance. These standards provide a framework that helps organizations mitigate risks, maintain data integrity, and build stakeholder confidence. By implementing best practices and utilizing the right tools, teams can successfully navigate the complexities of migration projects while adhering to these crucial guidelines.
NIST AI RMF 1.0
Integrating NIST standards into your software migration projects ensures a secure and compliant transition from legacy systems. By focusing on security, regulatory adherence, and best practices, you can safeguard data integrity and build trust among stakeholders, making your migration efforts more efficient and reliable.
EU AI Act (Regulation (EU) 2024/1689)
The EU's horizontal regulation for artificial intelligence, classifying systems by risk and attaching obligations to each tier. It entered into force on 1 August 2024; prohibited practices and AI literacy applied from 2 February 2025, general-purpose AI obligations from 2 August 2025, and Article 50 transparency obligations from 2 August 2026. The Digital Omnibus on AI, approved by the Council on 29 June 2026, deferred stand-alone high-risk (Annex III) obligations to 2 December 2027 and high-risk AI embedded in regulated products (Annex I) to 2 August 2028.
IEEE 7001-2021 (AI Transparency)
Adhering to IEEE standards during software migrations is crucial for minimizing risks and ensuring system reliability. By understanding key requirements, implementing effective processes, and utilizing appropriate tools, teams can enhance collaboration and boost confidence in their migration strategies. This structured approach leads to smoother transitions and successful outcomes.
IEEE 7002-2022 (AI Privacy Data)
Adhering to IEEE standards during software migrations is essential for minimizing risks, enhancing communication, and ensuring regulatory compliance. This comprehensive guide outlines key requirements, practical steps for compliance, and tools to facilitate successful migration projects while addressing common challenges that teams may face.
ISO/IEC 22989:2022 (AI Concepts)
Adhering to ISO/IEC standards during software migrations is essential for ensuring data integrity, security, and stakeholder confidence. This guide outlines key requirements, compliance considerations, and practical steps to ensure your migrations align with these globally recognized standards, helping you mitigate risks and achieve successful outcomes.
ISO/IEC 23053:2022 (AI Lifecycle)
Adhering to ISO/IEC standards during software migrations is essential for ensuring data integrity, security, and operational efficiency. By implementing thorough documentation, quality assurance checks, and leveraging appropriate tools, teams can effectively manage migration risks and enhance stakeholder confidence.
ISO/IEC 42001:2023 (AI management system)
Management system requirements for establishing, implementing, and continually improving an AI management system (AIMS).