anthropic.com privacy policy — score 62/100 (medium risk)
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Anthropic · anthropic.com
Detalhes do relatório
medium riscoAnthropic uses your AI conversations to train its models by default, though you can opt out, and your data is routinely transferred outside the EEA to the US under standard contractual clauses.
Anthropic's privacy policy is transparent about its data practices but raises significant concerns regarding AI training defaults and user rights. While the policy is well-structured and clearly lists legal bases for processing, it defaults to using user Inputs and Outputs for model training, with an opt-out that is overridden if content is flagged for safety. The policy also preemptively warns that user rights regarding training data are 'limited' and 'complex' to action. Data transfers to the US rely on Standard Contractual Clauses, and the company admits it may re-identify de-identified data to enforce its Usage Policy.
Avaliação por categoria
Repartição da política pelas principais áreas de conformidade. Bom = sólido, razoável = misto, fraco = preocupante.
Collects a broad range of data including all Inputs/Outputs and technical metadata, but does allow deletion of individual conversations within 30 days.
The policy is detailed and clearly structured, explicitly listing legal bases for each processing purpose in a dedicated table.
Data is shared with affiliates, service providers, and business partners, but specific subprocessors are relegated to a separate list without direct links in the main policy.
Data is transferred to the US and other non-EEA countries relying primarily on SCCs, with an EU entity (Anthropic Ireland) established for EEA users.
User conversations are used for AI training by default with an opt-out, but the opt-out is overridden if content is flagged for safety or submitted as feedback.
Standard GDPR rights are listed and an EU DPO is appointed, but the policy preemptively warns that rights are limited and actioning training data requests is 'complex'.
Conclusões principais
Cláusulas relevantes, problemas ou boas práticas identificadas (críticas primeiro)
Default Training on User Data with Bypassed Opt-Out
Section 2 states that Inputs and Outputs are used for model training unless the user opts out. However, it explicitly carves out two exceptions where the opt-out does not apply: conversations flagged for safety review, and explicitly reported materials (feedback). This means users cannot fully prevent their data from being used to train models if their conversations trigger safety flags.
Re-identification of De-identified Data
Section 6 states that if Inputs or Outputs are flagged for potentially violating the Usage Policy, the content is disassociated from the user ID for training, but 'we may re-identify the Inputs or Outputs to enforce our Usage Policy with the responsible user if necessary.' This creates a significant loophole where data ostensibly stripped of identifiers for training can be linked back to the user.
Discouraging Language on User Rights
Section 4 warns that user rights are 'limited' and that actioning requests regarding the training dataset is 'complex'. It also states they may decline a request if they have a lawful reason. This preemptive discouragement could deter users from exercising their GDPR rights, particularly the right to erasure.
Vague Data Retention Periods
Section 6 states that personal data is retained 'for as long as reasonably necessary' for the purposes outlined. This lack of specific retention periods for different categories of data (e.g., Inputs/Outputs vs. Payment Information) conflicts with GDPR's storage limitation principle (Article 5(1)(e)).
Resumo para o utilizador
Your conversations with Claude are used to train Anthropic's AI by default; you must actively opt out, and even then, flagged or reported conversations will still be used for training.
Postura de conformidade
Anthropic demonstrates compliance awareness by establishing an Irish entity for EEA users, appointing a DPO, and clearly mapping legal bases. However, the broad exceptions to the training opt-out and the discouraging language around user rights may conflict with the GDPR principles of data minimization and the right to erasure.
Transferências UE
Data is transferred to the US and other non-EEA countries. Anthropic relies on Standard Contractual Clauses (SCCs) for these transfers, as the US lacks an adequacy decision. While SCCs are a valid mechanism, the policy lacks detail on supplementary measures implemented to protect data against US government surveillance, which is a requirement post-Schrems II.
Sinais detetados
Dados e práticas específicas identificadas no texto
Fragmentos de evidência
Citações diretas da política que suportam estas conclusões
We may use your Inputs and Outputs to train our models and improve our Services, unless you opt out through your account settings.
Even if you opt-out, we will use Inputs and Outputs for model improvement when: (1) your conversations are flagged for safety review... or (2) you've explicitly reported the materials to us
However, we may re-identify the Inputs or Outputs to enforce our Usage Policy with the responsible user if necessary.
please be aware that these rights are limited, and that the process by which we may need to action your requests regarding our training dataset are complex.
Em falta ou pouco claro
- No specific retention periods for different categories of personal data
- No mention of a Data Protection Impact Assessment (DPIA) for AI training
- No detail on supplementary measures for US data transfers post-Schrems II
- No information on the specific criteria for 'flagging for safety review'
- No explanation of how deletion requests are handled for data already incorporated into trained models
Perguntas a fazer
- What specific technical and organizational measures are in place to ensure that re-identified data used for Usage Policy enforcement is not then retained in a personally identifiable form in the training dataset?
- Under what exact criteria are conversations 'flagged for safety review', and what is the volume/proportion of user conversations that fall into this opt-out exception?
- Can you provide the specific retention schedules for Inputs/Outputs, Technical Information, and Feedback, rather than the generic 'as long as reasonably necessary'?
- Has a Data Protection Impact Assessment (DPIA) been conducted regarding the processing of user Inputs/Outputs for model training, and if so, can its summary be shared?
- How do you handle deletion requests under GDPR Article 17 for personal data that has already been incorporated into a trained model, given the technical complexity acknowledged in the policy?
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