UX AI - The Know Your Agent
(KYA) Regulatory Bridge
UXAI Purpose & Mission
"To enable a 'Know Your Agent' (KYA) standard by providing the technical and sociotechnical infrastructure required for independent regulatory oversight and user protection."
Bridge the Gap: Act as the formal interface between the Agentic AI Foundation (AAIF) and global regulatory bodies.
Systemic Trust: Ensure agentic systems are not just "technically robust" but "regulatorily compliant" by design.
Core Objectives (The "Three Pillars")
UXAI.Org members must commit to these specific outputs:~
Pillar 1: Provenance & Decisional Auditability (Technical)
Develop a standardized Agent Audit Log (AAL) that records not just what an agent did, but the rationale and data provenance behind the action (countering the "black box" risk of MCP).
Establish "Emergency Stop" protocols (Circuit Breakers) that can be triggered by external oversight bodies.
Pillar 2: "Know Your Agent" (KYA) Registry (Governance)
Create a global, decentralized registry for Agentic Identities.
Allow regulators to verify the "Certification of Intent" for agents operating in high-risk sectors (e.g., retail financial advice).
Pillar 3: Human-in-the-Loop (HITL) UX Standards (User Groups)
Define the UX Transparency Standards for when and how an agent must disclose its autonomy to an end-user, preventing "dark patterns" in agentic behavior.
Governance Structure
The Regulatory Observer Council: Reserve permanent, non-voting "Observer" seats for representatives from the regulators
User Advocacy Board: A formal body of consumer rights groups (e.g., Which?, Citizens Advice) with the power to "Red Flag" agentic behaviors that fail the Consumer Duty "fair value" test.
Independent Technical Secretariat: A neutral body (not AAIF) to manage the technical roadmap, ensuring standards aren't skewed toward "Big Tech" back-doors.
Principles of Operation
Safety, Security & Robustness: Agents must be resilient against adversarial manipulation.
Explainability: Every agentic decision must be reconstructable for regulatory inquiry.
Contestability: Users must have a clear path to appeal or reverse an agent’s decision.
Accountability: Assigning a "Legal Natural Person" (via SM&CR) to every autonomous agent cluster.
UXAI Visual Trace Tree for Regulatory Audit
Hierarchical Provenance: The tree displays parent-child relationships between the initial task and every sub-action. This allows an auditor to trace a final recommendation back to the specific memory or tool result that influenced it.
The "Flight Recorder" Metadata: Each span in the tree captures critical attributes:
Reasoning Rationale: The explicit "thought" the LLM had before selecting a tool.
Tool Parameters: The exact JSON schema sent to sensitive tools (e.g., credit checks).
Security Interceptors: Proof that a "Guardrail" (e.g., PII masking or prompt injection check) was executed and passed before the decision was finalised.
Red Flag Indicators: Problematic steps (e.g., high latency, safety violations, or circular reasoning) are automatically highlighted in red, allowing compliance teams to focus on exceptions.
Economic Transparency: Real-time cost accumulation is tracked across the trace, providing evidence of "Fair Value" as required by Consumer Duty.