AI is disrupting many dimensions of the internet, digital transactions and the human/digital interface, from social interactions and commerce, to accessing news and entertainment, financial services, business to business transactions and more. However, amidst this AI revolution, a critical issue persists: the silos between the AI and Identity communities could lead AI platforms to underutilizing known identity standards, emerging gaps in standards may not be progressed at the optimal pace, and known problems in security, privacy and interoperability may be repeated leading to unnecessary pitfalls. Collaboration between the AI and standards experts could deliver speed to market and substantially derisk end products and services. 

Known gaps in standards around delegated authority are already being remediated in the eKYC and IDA WG (e.g. the authority specification), but other gaps in standards are not yet well characterized, such as how to assert the identity of the LLM and/or agent to the external servers it communicates with; or how to define the contents of a token that is moving between 2 or more AI agents, (and not from consumer to IdP). Similarly, we see gaps emerging in the discovery of AI agents, gaps in governance models, and other issues that could be addressed at pace through OIDF, other SDO liaison partners (e.g. IETF), and defacto standards partners like MCP.

The OIDF board commissioned in April 2025 a paper on the intersection of Agentic AI and Identity that will yield consensus of an initial landscape assessment and recommendations to remediate the issues (within OIDF and beyond). This CG will serve as a safe space to assess use cases, modularization (role, scope, outcomes), existing and emerging AI architectures, progress CG and whitepaper recommendations, develop liaisons, and mature other AI community partners as appropriate. 

Deliverables & Organizing Principles

The proposed AI CG will focus on the following deliverables:

• Offer a safe space to review and mature consensus on the use cases, architectures and deployment models 
• Identify areas in the use cases that are not addressed by standards, and what needs to be solved. 
• Develop and document the Agentic AI champion use cases, whether for advancement within or outside of OIDF (eg by trusted partners, SDO liaisons, or defacto standards as appropriate). Use cases that are deprioritised may be deferred, or deferred for later work
• Determine area(s) that require OIDF and identity community focus to support outcomes (including but not limited to privacy, security, operations, scale, risk management and compliance)
• Monitor the state of government AI regulations, where they exist, to modify CG approach and priorities as appropriate
• Consensus on terminology so that CG participants and wider AI/Identity experts are referring to the same terms
• Engage key stakeholders (e.g. vendors, AI agent vendors, digital platforms, identity vendors) in conversations tightly scoped by the Co-Chairs to allow for concrete progress on the CG’s deliverables and wider roadmap (noting time constraints to influence rapidly developing and scaling AI implementations)
• Inform the OpenID Foundation whitepaper, and as appropriate, progress the recommendations from the AI whitepaper after publication 

The following are out of scope for the proposed AI CG:

• Development of any global standards protocols related to AI Agents & Identity. Any such protocol work will be deferred to an OIDF or liaison working group.

The community group will operate under the following Organizing Principles:

• Respect: OIDF Code of Conduct will apply
• Empowerment through Consent: We seek to empower individuals to enable informed decision-making regarding the management of agents. The AI CG will advocate for consent-driven use cases which protect the privacy and security of individuals.
• Interoperability and Accessibility: The CG’s work must promote interoperability among digital platforms to facilitate seamless data management and accessibility across diverse ecosystems, ensuring inclusivity, efficiency, and usability for individuals.

The AI CG will operate in English. The work will progress via mailing list and telephone/internet conference calls combined with face-to-face meetings, where possible.