AI Policy

Moned exists to connect people building a life abroad with accountable human knowledge: credentialed professionals, creators and educators, and experienced or local guides. AI is used only where it can reduce search or administrative effort without becoming the authority for a sensitive marketplace decision.

This policy describes behavior evidenced in the current code. A possible future use is not presented as active. Moned should update this page and the technical inventory together when an AI surface changes.

When the configured Google Vertex AI runtime is available, Gemini interprets a natural-language request into a versioned structured patch. The backend validates allowed fields and values before applying it. Eligible experts still come from published, governed profile and capability records.

If the provider is unavailable or the response is empty, invalid, or outside the schema, Moned falls back to deterministic extraction for supported countries, languages, provider categories, lifecycle tags, and service areas. The fallback is visible in generation metadata rather than silently presented as a model result.

AI-assisted search is not professional advice. Users should not enter passwords, credentials, emergency information, or unnecessary medical, financial, legal, or identity details.

Session artifacts are conditional product features. Microphone audio can be captured for transcription only after the required participant-consent state is complete. Consent can be declined or revoked through the governed session workflow.

Google Cloud Speech-to-Text V2 produces the transcript when configured. A versioned summary prompt and response schema constrain the Gemini summary. Validation failures remain failures; they do not change payment, booking, session-outcome, or dispute state.

A shared summary is designed for continuity. It may omit context or contain an error. Participants should rely on the conversation and any separately issued professional document rather than treating the summary as advice or an official record.

Deterministic domain rules and governed records remain authoritative for service publication, availability, booking lifecycle, server pricing, payments, payouts, refunds, permissions, and account state.

Expert credential review, experience or profile review, capability approval, regulated-service scope, enforcement, appeals, and sensitive administrative actions are not delegated to a generative model. Where those workflows require an authorized reviewer, the reviewer records the decision and reason through the governed administrative path.

This does not mean every Moned operation receives individual human review. Routine validation, rate limits, lifecycle transitions, and other deterministic rules operate automatically. Human accountability is concentrated where judgment and authority are required.

Current AI provider categories are cloud model generation and cloud speech transcription. The implemented providers are Google Vertex AI Gemini for search interpretation and summaries, and Google Cloud Speech-to-Text V2 for transcription. Provider configuration and retention must remain aligned with the Privacy Policy and approved operational settings.

Anonymous expert search minimizes stored raw query history and uses derived or structured continuity data. Authenticated search may retain history for account continuity. Session transcripts and summaries stay attached to authorized session and artifact access paths.

Moned should not use support reports, security disclosures, private evidence, credentials, or internal reviewer notes as general model prompts. Sensitive case content is not included in ordinary logs or notification payloads.

AI-assisted search identifies itself as AI-assisted and explains that it is narrowing expert discovery. Transcript and summary surfaces describe the consented microphone-audio source and distinguish a summary from camera recording and professional advice.

Generated text should never imitate a verification label, administrative decision, or provider-authored professional document. Review labels come only from the governed verification system.

AI systems can misunderstand a request, miss context, reproduce bias, or generate incorrect text. Structured schemas, deterministic fallbacks, consent, access control, and human review at authority boundaries reduce risk; they do not make errors impossible.

Report a search or summary problem through product support, a privacy concern through the privacy route, unsafe conduct through conduct reporting, or a vulnerability through security disclosure. Moned remains accountable for the product decisions it makes around AI-assisted systems.

• NIST AI Risk Management Framework and Generative AI Profile
• OECD AI Principles: human rights, transparency, robustness, and accountability
• European Commission overview of the EU AI Act’s risk-based framework