AI Risk Management Frameworks

These AI Risk Management Frameworks have been designed for anyone involved, directly or indirectly, in the development, use, evaluation, design, deployment, or assessment of AI models and systems. The language is intentionally kept accessible enough for non-AI professionals while retaining the technical depth necessary for practitioners from various domains. 

Considering how dynamically AI technologies are changing and evolving, it is crucial for organizations deploying these technologies to have proportional governance measures in place to manage any of the risks associated with the use of such technologies. Deployed effectively, such a Framework can enable organizations to navigate most of their AI-related risks with ease.

Effective management of AI-related risks would rely tremendously on six critical contexts: data handling, model selection and training, deployment and infrastructure, contracts and insurance, legal and regulatory compliance, and organizational culture. By prioritizing the mitigation of any AI-related risks and issues arising within these domains, organizations can curate AI usage in a manner that promises effective results.