This standard defines a set of metrics that determine the certification criteria that qualify individuals to perform Artificial Intelligence (AI) ethics oversight functions in organizational settings, and recommendations for the establishment of certification programs that enable individuals to specialize in specific aspects of AI ethics oversight (e.g., Large Language Models [LLMs], autonomous driving systems, generative images/videos).
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Joint Sponsors
-
SSIT/SC
- Status
- Active PAR
- PAR Approval
- 2024-09-26
Working Group Details
- Society
- IEEE Computer Society
- Standard Committee
- C/AISC - Artificial Intelligence Standards Committee
- Working Group
-
AIEO - AI Ethics Oversight
- IEEE Program Manager
- Christy Bahn
Contact Christy Bahn - Working Group Chair
- Tyler Jaynes
Other Activities From This Working Group
Current projects that have been authorized by the IEEE SA Standards Board to develop a standard.
P7999
Standard for Integrating Organizational Ethics Oversight in Projects and Processes Involving Artificial Intelligence
This standard provides a base framework to determine the individual qualification of Artificial Intelligence (AI) ethics oversight actors and organizational certification of AI developers using existing ethically-aligned design standards developed for AI systems. It furthermore outlines best practices based on these standards for integrating ethics oversight in organizations of any scale for projects that use or develop AI and AI systems (at any stage of the AI system lifecycle).
P7999.2
Standard for Integrating Organizational Ethics Oversight in Projects and Processes Involving Artificial Intelligence u2013 Organizational Certification
This standard provides a set of metrics that can be used to certify that companies, manufacturers, and other organizational bodies employ a set of standard operating procedures that facilitate the effective deployment of an Artificial Intelligence (AI) ethics oversight function at all stages of the AI system lifecycle. These metrics include auditable elements of quality management systems utilized by companies, manufacturers, and other organizational bodies (which do not replace other quality management system conformance criteria), and post-market surveillance feedback to support ethically-aligned design control processes.
Standards approved by the IEEE SA Standards Board that are within the 10-year lifecycle.
No Active Standards
These standards have been replaced with a revised version of the standard, or by a compilation of the original active standard and all its existing amendments, corrigenda, and errata.
No Superseded Standards
These standards have been removed from active status through a ballot where the standard is made inactive as a consensus decision of a balloting group.
No Inactive-Withdrawn Standards
These standards are removed from active status through an administrative process for standards that have not undergone a revision process within 10 years.
No Inactive-Reserved Standards