Resources/Thematic Collections/AI Risk Management

AI Risk Management

Frameworks and methodologies for identifying, assessing, and mitigating AI risks

9
Total Resources
1
Featured
9
Years Covered
Must-Read Papers

Featured Resources

Essential resources in this thematic area

NIST2023

Artificial Intelligence Risk Management Framework (AI RMF 1.0)

Technical Standard

Voluntary framework for managing risks to individuals, organisations, and society associated with AI, developed through consensus-driven collaboration with public and private sectors.

RiskGovernanceSafety
Best for: Enterprise, SME, Public Sector, Researcher
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Policy Frameworks

1

International standards

Academic Papers

3

Peer-reviewed research

Technical Standards

4

ISO, IEEE, NIST

Industry Reports

1

WEF, OECD analyses

9 Resources in This Theme

All Resources

Comprehensive collection sorted by year and impact

arXiv2024

Evolving AI Risk Management: A Maturity Model Based on the NIST AI RMF

Academic Paper

Proposes AI risk management maturity model building on NIST AI RMF, enabling organisations to assess and advance their AI governance capabilities.

RiskGovernanceAccountability
Best for: Enterprise, SME, Public Sector
arXiv2024

Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems

Academic Paper

Proposes comprehensive framework for AI safety assurance combining formal verification, runtime monitoring, and safety-critical engineering practices.

SafetyRiskAccountability
Best for: Enterprise, Public Sector, Researcher
Reliability Engineering & System Safety (Elsevier)2024

Artificial Intelligence for Safety and Reliability: A Descriptive Review

Academic Paper

Reviews AI applications in safety and reliability engineering, examining both opportunities and challenges in using AI for safety-critical systems.

SafetyRiskAccountability
Best for: Enterprise, Public Sector, Researcher
NIST2023

Artificial Intelligence Risk Management Framework (AI RMF 1.0)

Technical Standard

Voluntary framework for managing risks to individuals, organisations, and society associated with AI, developed through consensus-driven collaboration with public and private sectors.

RiskGovernanceSafety
Best for: Enterprise, SME, Public Sector, Researcher
National Institute of Standards and Technology (NIST)2023

National Institute of Standards and Technology (NIST)

Technical Standard

A systematic risk management framework released in 2023 providing guidance through four core functions: Govern, Map, Measure, and Manage.

RiskFairnessTransparency
Best for: Enterprise, Researcher
Responsible AI Institute2023

Responsible AI Institute

Technical Standard

The Responsible AI Safety and Effectiveness framework providing practical implementation pathways with over 1,100 controls mapped across 17 global standards.

Risk
Best for: Enterprise, Researcher
Infocomm Media Development Authority (IMDA), Singapore2022

Infocomm Media Development Authority (IMDA), Singapore

Technical Standard

Singapore's AI governance testing framework and toolkit launched in 2022, providing organizations with tools to validate AI systems against ethical principles.

RiskFairnessTransparency
Best for: Public Sector, Enterprise, Researcher
Responsible AI Institute2016

Responsible AI Institute

Industry Report

A leading global nonprofit providing cutting-edge tools for responsible AI oversight and compliance through the RAISE framework.

Risk
Best for: Enterprise, Researcher
Partnership on AI2016

Partnership on AI

Policy Framework

An independent nonprofit coalition bringing together diverse communities to address AI's future through guidelines, policymaker education, and international convenings.

RiskFairnessTransparency
Best for: Enterprise, Researcher
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