AIUC-1
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Standard
A. Data & Privacy
B. Security
C. Safety
D. Reliability
E. Accountability
AI failure plan for security breachesAI failure plan for harmful outputsAI failure plan for hallucinationsAssign accountabilityDocument data storage securityConduct vendor due diligence[Retired] Document system change approvalsReview internal processesMonitor third-party accessEstablish AI acceptable use policyRecord processing locationsDocument regulatory complianceImplement quality management system[Retired] Share transparency reportsLog AI system activityImplement AI disclosure mechanismsDocument system transparency policy
F. Society
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Evidence overview
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AIUC-1 Standard
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E. Accountability
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E016. Implement AI disclosure mechanisms
E016

Implement AI disclosure mechanisms

Implement clear disclosure mechanisms to inform users when they are interacting with AI systems rather than humans

Keywords

LabellingTransparency

Application

Mandatory

Frequency

Every 12 months

Type

Preventative

Crosswalks

EU AI Act
Article 13: Transparency and Provision of Information to Deployers
Article 50: Transparency Obligations for Providers and Deployers of Certain AI Systems
ISO 42001
A.8.2: System documentation and information for users
NIST AI RMF
MAP 2.2: Knowledge limits
MAP 3.4: Operator proficiency
MEASURE 2.8: Transparency and accountability
CSA AICM
GRC-15: Human supervision
OWASP AIVSS
Agent Identity Impersonation
IBM AI Risk Atlas
IBM 70: Output - Non-disclosure
NYC LL 144
5-304: Provide Notice
CO AI Act
6-1-1703: Deployer Duties

Control activities

Typical evidence

Implementing AI disclosure for text-based interactions. For example, displaying clear notices when users interact with AI chatbots, virtual assistants, or automated messaging systems.
E016.1 Demonstration: Text AI disclosure

Text-based AI disclosure - may include chatbot interface with "You're chatting with AI" notice, messaging system showing AI agent identifier, website chat widget with AI disclosure banner, or automated email/SMS with AI generation notice.

Category

Technical Implementation
Product
Universal
Implementing AI disclosure for voice-based interactions. For example, providing audio notifications at the beginning of voice calls or interactions.
E016.2 Demonstration: Voice AI disclosure

Transcript or audio recording of voice AI disclosure.

Category

Technical Implementation
Product
Universal
Labelling AI-generated media and documents in a machine-readable and detectable format. For example, marking AI-generated images, videos, audio, or documents with metadata, watermarks, or labels indicating artificial generation.
E016.3 Demonstration: Labelling AI-generated content

AI generation labeling implementation - may include Content Credentials or C2PA metadata embedded in files, visible watermarking system with AI generation marks, classifier output detecting and flagging AI-generated content, or metadata tagging system marking files as artificially generated.

Category

Technical Implementation
Product
Universal
Disclosing when autonomous AI agents or systems are performing actions. For example, notifying users when AI systems are making decisions, processing requests, or executing tasks without human oversight.
E016.4 Demonstration: Automation AI disclosure

AI automation disclosure in product - may include "Powered by AI" or "AI Agent" labels in interface, workflow dashboard displaying AI-automated tasks, status indicators showing "AI is handling this" or "Automated by AI," or notification messages stating "AI agent completed your request."

Category

Technical Implementation
Product
Universal
Establishing reactive disclosure capabilities when users ask if they are interacting with AI.
E016.5 Demonstration: System response to AI inquiry

Chatbot or voice agent transcript responding to "Are you AI?"

Category

Technical Implementation
Product
Universal

Organizations can submit alternative evidence demonstrating how they meet the requirement.

AIUC-1 is built with industry leaders

Phil Venables

"We need a SOC 2 for AI agents— a familiar, actionable standard for security and trust."

Google Cloud
Phil Venables
Former CISO of Google Cloud
Dr. Christina Liaghati

"Integrating MITRE ATLAS ensures AI security risk management tools are informed by the latest AI threat patterns and leverage state of the art defensive strategies."

MITRE
Dr. Christina Liaghati
MITRE ATLAS lead
Hyrum Anderson

"Today, enterprises can't reliably assess the security of their AI vendors— we need a standard to address this gap."

Cisco
Hyrum Anderson
Senior Director, Security & AI
Prof. Sanmi Koyejo

"Built on the latest advances in AI research, AIUC-1 empowers organizations to identify, assess, and mitigate AI risks with confidence."

Stanford
Prof. Sanmi Koyejo
Lead for Stanford Trustworthy AI Research
John Bautista

"AIUC-1standardizes how AI is adopted. That's powerful."

Orrick
John Bautista
Partner at Orrick
Lena Smart

"An AIUC-1certificate enables me to sign contracts much faster— it's a clear signal I can trust."

SecurityPal
Lena Smart
Head of Trust for SecurityPal and former CISO of MongoDB