This recommended practice follows a safety by design approach by providing recommendations for developing, deploying, and maintaining generative artificial intelligence models with adequate safeguards against child sexual abuse. The document provides a framework that expands child safety to the entire lifecycle of machine learning (ML): development, deployment, and maintenance stages. Each part in the process includes opportunities to prioritize child safety, regardless of data modality (i.e. text, image, video, audio) or whether an organization releases its technology as closed source or open source, or some release option between these two.
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Status
- Active PAR
- PAR Approval
- 2024-03-21
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Working Group
-
SBD-WG - Safety by Design for Generative Models to Prioritize Child Safety
- IEEE Program Manager
- Christy Bahn
Contact Christy Bahn - Working Group Chair
- Michael Simpson
Other Activities From This Working Group
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