AI Transparency
About This Page
This page explains where AuditSocials uses AI, how AI-generated text is labelled and checked, and who is responsible for it. It is our disclosure under Article 50 of the EU AI Act (Regulation (EU) 2024/1689). AI drafts and checks content on AuditSocials; it does not make decisions about people.
1. Policy Change Summaries
When a platform policy page changes, an AI model drafts the title, summary, severity, action steps and industry notes from the before/after text. The quotes the model relies on are machine-checked against the actual page text, and an editor reviews every change before it is published. These summaries are labelled AI · Summary · Editor-reviewed.
2. Regulator Signals
An AI model summarises public regulator notices and filings. A signal is published automatically only if it passes automated checks: the source is in our highest source tier, the platform involved appears verbatim in the source, and a separate AI check reviews the summary against the source. There is no human review before publication, so these are labelled AI · Summary · Auto-checked against source.
3. Compliance API, MCP & Free Checker
Content you submit is checked by deterministic rule matching first, then by an AI layer that looks for risks keywords cannot catch. Every finding states its origin: source rule or source ai. Findings from the AI layer contain AI-generated explanations and suggestions and are labelled AI · Generated in our free checker.
4. Dashboard Briefs
Logged-in users may see a short personalised brief generated by an AI model from the policy and enforcement data we have already published, filtered to the industries and platforms they selected. Briefs are labelled AI · Generated.
5. Models We Use
- Primary: OpenAI GPT models via the OpenAI API.
- Fallback: if OpenAI is unavailable, most AI features switch to an open-weight model (gpt-oss) served through NVIDIA's API.
- We do not train our own AI models. We use general-purpose models from these providers.
Both providers are listed as sub-processors on our Security & Trust page.
6. How We Label AI-Generated Text
- On web pages and in the dashboard: AI-generated text is shown with an "AI" label, and the element holding it carries the machine-readable attribute
data-ai-generated="true". - In the Compliance API and MCP: each finding has
source: "rule" | "ai", and responses includeaiGeneratedandaiDisclosure. Policy-change and regulator-signal tools include the same two fields. - In emails and PDF reports: AI-generated text is tagged "AI" (or "[AI]" in PDFs) with a disclosure line, and PDF reports also state it in their document properties.
7. Editorial Responsibility
Editorial responsibility for AI-assisted content published on AuditSocials lies with Reaktör Teknoloji Tic. Ltd. Şti., the company that operates AuditSocials, through the AuditSocials editorial team. Contact: support@auditsocials.com. The editor reviews each policy change against the platform's own policy page before it is published.
8. What We Don't Use AI For
- No chatbot. You are not talking to an AI anywhere on this site.
- No scoring, profiling or decisions about individual people.
- No biometric identification, biometric categorisation or emotion recognition.
9. Limits and Reporting Errors
AI can be wrong. Policy changes and regulator signals link to their source where one is available — check it before you rely on the summary. Nothing on AuditSocials is legal advice, and a clean compliance check does not guarantee a platform will approve your content. Found an error in an AI-generated summary? Email support@auditsocials.com and we will correct it.