WEF_Presidio_AI Framework_2024

2024

Open publication workspace · Sign in to read the full PDF.

AI-generated summary

1) This briefing paper introduces the Presidio AI Framework to help stakeholders securely develop, deploy, and govern generative AI models through proactive risk mitigation and shared responsibility.

2)
- Details an expanded, end-to-end AI life cycle across data management, model building, release, adaptation, and integration phases.
- Outlines technical and procedural guardrails (such as red teaming, RLHF, transparent documentation, and use restrictions) mapped to specific life cycle stages.
- Proposes a "shift-left" methodology to implement safety testing and quality assurance as early as possible in the development process.

3) Tags: generative AI, AI governance, risk mitigation, guardrails, framework

Check the original publication for accuracy and context.