IEEE Artificial Intelligence (AI) Ethics Oversight Working Group
C/AISC/AIEO

IEEE Artificial Intelligence (AI) Ethics Oversight Working Group
This Working Group has been established to develop conformance assessment criteria for the integration of ethics oversight in projects and processes involving artificial intelligence (AI) systems.

 

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).

  • More information can be found on the approved PAR.

 

P7999.1™: Standard for Integrating Organizational Ethics Oversight in Projects and Processes Involving Artificial Intelligence – Qualification of Individuals

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).

  • More information can be found on the approved PAR.

 

P7999.2™: Standard for Integrating Organizational Ethics Oversight in Projects and Processes Involving Artificial Intelligence – 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.

  • More information can be found on the approved PAR.