1. What the document is: Anthropic's Cookie Policy — a category-level (Necessary/Analytics/Marketing) cookie disclosure, less granular than OpenAI's itemized per-cookie table. Out of scope for this wiki's AI-training/data-licensing focus.
What this wiki found — complete, every page
Presence facts, not verdicts — each flagged term links to its definition and the exact clause on this page. Absence of a badge means the term isn't currently flagged here, not that the page is risk-free.
Claude.ai – Trackers Policy
Dataset: GenGA (Generative AI Governance Archive) — 11 AI services, 2025–present
GenGA (Generative AI Governance Archive) is this wiki’s Generative-AI dataset: raw policy snapshots captured by the Open Terms Archive
genai-euproject across 11 GenAI providers (ChatGPT, Claude.ai, DeepSeek, Google Generative AI Services, Le Chat, Llama API, Meta AI, Microsoft Copilot, Perplexity, Qwen Chat, xAI). Unlike PGAv2, GenGA has no pre-tagged risk scores — all risk scoring and keyword tagging on these pages is LLM-assigned by direct reading, spanning 2025–present.
Note: This page contains documented policy clauses. Risk assessment is qualitative and context-dependent. For analysis of patterns across platforms, see:
Source: sources/GenGA/Claude.ai/Trackers Policy/ (raw Markdown captures, Open Terms Archive genai-eu dataset — no pre-tagged JSONL exists for this source)
Last updated: 2025-11-11 (only capture in this dataset)
Note on methodology: No pre-computed
risk_score/keywordfields exist for this source. Keyword tags on this page are LLM-assigned. Treat as first-pass analysis, not externally verified ground truth. This wiki’s risk-scoring system was retired project-wide on 2026-06-21 (seemethodology.md§4) — no page, GenGA included, computes or displays a numeric risk score.
Overview
1. What the document is: Anthropic’s Cookie Policy — a category-level (Necessary/Analytics/Marketing) cookie disclosure, less granular than OpenAI’s itemized per-cookie table. Out of scope for this wiki’s AI-training/data-licensing focus.
2. Input rights: Not addressed.
3. Output restrictions: Not addressed.
4. Non-explicit predatory clauses: None found.
5. Regulatory references: None named explicitly, though “global privacy controls” and a “Privacy Choices” link imply CCPA/GDPR-adjacent compliance machinery.
6. Regional variation: Not addressed in this document.
7. Key risk to users: Low. Notable only for explicitly stating Anthropic “currently does not respond to browser ‘Do Not Track’ signals” — a disclosure of non-compliance with a (non-binding) user privacy preference signal.
No AI-training, data-licensing, or output-restriction clauses found — out of scope for this wiki’s core risk categories.
Regulatory & Research Context
Edwards et al. (2025) note that generative-AI privacy materials often demand “reading comprehension abilities at university level,” a complexity concern that contrasts here with Anthropic’s comparatively coarse, category-level (Necessary/Analytics/Marketing) cookie disclosure — less granular than OpenAI’s itemized per-cookie table, but also less to parse. The document’s explicit admission that Anthropic “currently does not respond to browser ‘Do Not Track’ signals” is the kind of unilateral, self-defined posture Davidson et al. (2026) associate with provider discretion in their comparative study of Anthropic’s and other providers’ Terms, even though Do Not Track itself sits outside the GDPR/EU AI Act framework their analysis centers on.
Changes Summary
| Date | What changed |
|---|---|
| 2025-11-11 | Baseline and only version captured in this dataset (“Effective March 19, 2024”). |
Version History
2025-11-11
- Explicit AI clause: NO
- Non-explicit predatory: NO
- Flagged keywords: (none)
No AI-training, data-licensing, or output-restriction clauses found in this document.