Does Claude.ai train on my prompts?
Anthropic's assistant. Consumer plans (Free, Pro, Max) and commercial plans have separate terms.
Free, Pro and Max
Yes, by default. You can opt out.We may use your Inputs and Outputs to train and improve Anthropic AI models, unless you opt out through your account settings.Privacy Policy
Account settings. Conversations flagged for safety review and material you report as feedback are used even after opting out.
Commercial (Team, Enterprise, API)
No.Anthropic may not train models on Customer Content from Services.Commercial Terms
Changes
- Claude.ai (Anthropic) added use of Materials “to develop other products and services, including training our models,” “unless you opt out of training through your account settings.” Scope change · Claude.ai, Terms of Service
- Anthropic still says it may use “Inputs and Outputs” to train “unless you opt out through your account settings”; it adds “Legitimate interests” language. New disclosure · Claude.ai, Privacy Policy
- Anthropic added that it may obtain personal data from “third party sources in order to train our models,” including feedback, flagged, or opted-in inputs and outputs. New disclosure · Claude.ai, Privacy Policy
- Anthropic's Claude.ai now uses Materials for "training our models, unless you opt out of training through your account settings," with feedback and safety-flagged content trained on regardless. Change of position · Claude.ai, Terms of Service
- Claude.ai (Anthropic) now says it “may use your Inputs and Outputs to train our models…unless you opt out through your account settings,” with safety-review/reported-materials exceptions. Change of position · Claude.ai, Privacy Policy
Full clause history
Every version of the training clause in each tracked document, oldest first, with the words that changed.
Commercial Terms
3 recorded versions reduce to 1 clause state. Source history on GitHub.
From · 3 captures, last · current
As between the parties and to the extent permitted by applicable law, Anthropic agrees that Customer (a) retains all rights to its Inputs, and (b) owns its Outputs. Anthropic disclaims any rights it receives to the Customer Content under these Terms. Subject to Customer's compliance with these Terms, Anthropic hereby assigns to Customer its right, title and interest (if any) in and to Outputs. Anthropic may not train models on Customer Content from Services. "**Inputs**" means submissions to the Services by Customer or its Users and "**Outputs**" means responses generated by the Services to Inputs (Inputs and Outputs together are "**Customer Content**").
Privacy Policy
660 recorded versions reduce to 6 clause states. Source history on GitHub.
From · 2 captures, last
For information about how we collect and use personal data to develop our language models that power our Services, when we may receive and process personal data of non-users, and your choices with respect to that information, please see our Notice on Model Training.
For more information about how we collect and use personal data to develop our language models that power our Services, the steps we take to minimize the privacy impact on individuals through the training process, and your choices with respect to that information, please see our separate Notice on Model Training.
We will not use your Inputs or Outputs to train our models, unless: (1) your conversations are flagged for Trust & Safety review (in which case we may use or analyze them to improve our ability to detect and enforce our Usage Policy, including training models for use by our Trust and Safety team, consistent with Anthropic's safety mission), or (2) you've explicitly reported the materials to us (for example via our feedback mechanisms), or (3) you've otherwise explicitly opted in to the use of your Inputs and Outputs for training purposes.
We may process personal data in an aggregated or de-identified form to analyze the effectiveness of our Services, conduct research, study user behavior, and train our AI models as permitted under applicable laws. For instance:
When you submit Feedback, we disassociate Inputs and Outputs from your user ID to use them for training and improving our models.
If our systems flag Inputs or Outputs for potentially violating our Usage Policy, we disassociate the content from your user ID to train our trust and safety internal classification and generative models. However, we may re-identify the Inputs or Outputs to enforce our Usage Policy with the responsible user if necessary.
To improve the Services and conduct research (including model training). See our Notice on Model Training for more details on the data used to train our models.
From · 4 captures, last
For more information about how we collect and use personal data to develop our language models that power our Services, when we may receive and process personal data of non-users, the steps we take to minimize the privacy impact on individuals through the training process, and your choices with respect to that information, please see our Notice on Model Training.separate Non-User Privacy Policy.
For more information about how we collect and use personal data to develop our language models that power our Services, the steps we take to minimize the privacy impact on individuals through the training process, and your choices with respect to that information, please see our separate Notice on Model Training.
We will not use your Inputs or Outputs to train our models, unless: To improve the Services and conduct research, including training our models; and
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 Trust & Safety review (in which case we may use or analyze them safety review to improve our ability to detect and enforce our Usage Policy, including training models for use by our Trust and Safety team, consistent with Anthropic's safety mission),harmful content, enforce our policies, or advance AI safety research, or (2) you've explicitly reported the materials to us (for example via our feedback mechanisms), or (3) you've otherwise explicitly opted in to the use of your Inputs and Outputs for training purposes.mechanisms).
We may process personal data in an aggregated or de-identified form to analyze the effectiveness of our Services, conduct research, study user behavior, and train our AI models as permitted under applicable laws. For instance:
When you submit Feedback, we disassociate Inputs and Outputs from your user ID to use them for training and improving our models.
If our systems flag Inputs or Outputs for potentially violating our Usage Policy, we disassociate the content from your user ID to train our trust and safety internal classification and generative models. However, we may re-identify the Inputs or Outputs to enforce our Usage Policy with the responsible user if necessary.
To improve the Services and conduct research (including model training). See our Notice on Model TrainingNon-User Privacy Policy for more details on the data used to train our models.
From · 83 captures, last
For more information about how we collect and use personal data to develop our language models that power our Services, the steps we take to minimize the privacy impact on individuals through the training process, and your choices with respect to that information, please see our separate Non-User Privacy Policy.
To improve the Services and conduct research, including training our models; and
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 to improve our ability to detect harmful content, enforce our policies, or advance AI safety research, or (2) you've explicitly reported the materials to us (for example via our feedback mechanisms).
We may process personal data in an aggregated or de-identified form to analyze the effectiveness of our Services, conduct research, study user behavior, and train our AI models as permitted under applicable laws. For instance:
When you submit Feedback, we disassociate Inputs and Outputs from your user ID to use them for training and improving our models.
If our systems flag Inputs or Outputs for potentially violating our Usage Policy, we disassociate the content from your user ID to train our trust and safety internal classification and generative models. However, we may re-identify the Inputs or Outputs to enforce our Usage Policy with the responsible user if necessary.
To improve the Services and conduct research (including model training). See our Non-User Privacy Policy for more details on the data used to train our models.
Anthropic may obtain personal data from the following third party sources in order to train our models:
User inputs and outputs submitted as feedback, flagged for violating our Usage Policy, or where the user has opted into the use of inputs and outputs for model training
From · 353 captures, last
For more information about how we collect and use personal data to develop our language models that power our Services, the steps we take to minimize the privacy impact on individuals through the training process, and your choices with respect to that information, please see our separate Non-User Privacy Policy.
To improve the Services and conduct research, including training our models; and
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 to improve our ability to detect harmful content, enforce our policies, or advance AI safety research, or (2) you've explicitly reported the materials to us (for example via our feedback mechanisms).
We may process personal data in an aggregated or de-identified form to analyze the effectiveness of our Services, conduct research, study user behavior, and train our AI models as permitted under applicable laws. For instance:
When you submit Feedback, we disassociate Inputs and Outputs from your user ID to use them for training and improving our models.
If our systems flag Inputs or Outputs for potentially violating our Usage Policy, we disassociate the content from your user ID to train our trust and safety internal classification and generative models. However, we may re-identify the Inputs or Outputs to enforce our Usage Policy with the responsible user if necessary.
To improve the Services and conduct research (including model training). See our Non-User Privacy Policy for more details on the data used to train our models.
Anthropic may obtain personal data from the following third party sources in order to train our models:
User inputs and outputs submitted as feedback, flagged for violating our Usage Policy, or where the user has opted into the use of inputs and outputs for model training
Legitimate interests It is in our legitimate interests to train and improve our AI models. This enables us to provide more accurate and helpful services to our users over time. Our AI models also offer significant societal benefits to the wider public such as supporting scientific and medical research, facilitating education, creating content, promoting software development, improving customer service and enhancing workplace productivity. Our research also benefits the AI industry and society: it investigates the safety, inner workings, and societal impact of AI models so that artificial intelligence has a positive impact on society as it becomes increasingly advanced and capable
From · 56 captures, last
For more information about how we collect and use personal data to develop our language models that power our Services, the steps we take to minimize the privacy impact on individuals through the training process, and your choices with respect to that information, please see our separate Non-User Privacy Policy.
To improve the Services and conduct research, including training our models; andmodels and conducting broader research on AI-related topics such as the societal impacts of AI; and
We may use your Inputs and Outputs to train our models and improve our Services, and improve Anthropic AI models, unless you opt out through your account settings. Even if you opt-out, we will use Inputs and Outputs for model improvement when: (1)(i) your conversations are flagged for safety review to improve our ability to detect harmful content, enforce our policies, or advance AI safety research, or (2)(ii) you've explicitly reported the materials to us (for example via our feedback mechanisms).
We apply aggregation and de-identification techniques where appropriate as part of our data minimization practices. For example, we may process personal data in an aggregated or de-identified form to analyze and improve the effectiveness of our Services, conduct Services including to conduct analytics, conduct research, study user behavior, and train our AI models as permitted under applicable laws. For instance:
When you submit Feedback, we disassociate Inputs and Outputs from your user ID to use them for training and improving our models.
If our systems flag Inputs or Outputs for potentially violating our Usage Policy, harmful content or for potentially violating our policies, we disassociate the content from your user ID to train our trust and safety internal classification and generative models. However, we may re-identify the Inputs or Outputs to enforce our Terms of Service or Usage Policy with the responsible user if necessary.
To improve the Services and conduct research (including model training). See our Non-User Privacy Policy for more details on the data used to train our models.models, and the different stages of development.
Anthropic may obtain personal data from the following third party sources in order to train our models:
User inputs and outputs submitted as feedback, flagged for violating our Usage Policy, or where the user has opted into the use of inputs and outputs for model training
Legitimate interests It is in our legitimate interests to train and improve our AI models. This enables us to provide more accurate and helpful services to our users over time. Our AI models also offer significant societal benefits to the wider public such as supporting scientific and medical research, facilitating education, creating content, promoting software development, improving customer service and enhancing workplace productivity. Our research also benefits the AI industry and society: it investigates the safety, inner workings, and societal impact of AI models so that artificial intelligence has a positive impact on society as it becomes increasingly advanced and capable
From · 162 captures, last · current
For more information about how we collect and use personal data to develop our language models that power our Services, the steps we take to minimize the privacy impact on individuals through the training process, and your choices with respect to that information, please see our separate Non-User Privacy Policy.
To improve the Services and conduct research, including training our models and conducting broader research on AI-related topics such as the societal impacts of AI; and
We may use your Inputs and Outputs to train and improve Anthropic AI models, unless you opt out through your account settings. Even if you opt-out, we will use Inputs and Outputs for model improvement when: (i) your conversations are flagged for safety review to improve our ability to detect harmful content, enforce our policies, or advance AI safety research, or (ii) you've explicitly reported the materials to us (for example via our feedback mechanisms).
We apply aggregation and de-identification techniques where appropriate as part of our data minimization practices. For example, we may process personal data in an aggregated or de-identified form to analyze and improve the effectiveness of our Services including to conduct analytics, conduct research, study user behavior, and train our AI models as permitted under applicable laws. For instance:
When you submit Feedback, we disassociate Inputs and Outputs from your user ID to use them for training and improving our models.
If our systems flag Inputs or Outputs for harmful content or for potentially violating our policies, we disassociate the content from your user ID to train our trust and safety internal classification and generative models. However, we may re-identify the Inputs or Outputs to enforce our Terms of Service or Usage Policy with the responsible user if necessary.
To improve the Services and conduct research (including model training). See our Non-User Privacy Policy for more details on the data used to train our models, and the different stages of development.
Anthropic may obtain personal data from the following third party sources in order to train our models:
User inputs and outputs submitted as feedback, flagged for violating our Usage Policy, or where the user has opted into the use of inputs and outputs for model trainingtraining.
Legitimate interests It is in our legitimate interests to train and improve our AI models. This enables us to provide more accurate and helpful services to our users over time. Our AI models also offer significant societal benefits to the wider public such as supporting scientific and medical research, facilitating education, creating content, promoting software development, improving customer service and enhancing workplace productivity. Our research also benefits the AI industry and society: it investigates the safety, inner workings, and societal impact of AI models so that artificial intelligence has a positive impact on society as it becomes increasingly advanced and capable
Terms of Service
6 recorded versions reduce to 3 clause states. Source history on GitHub.
From · 1 capture
Our use of Materials.** We may use Materials to provide, maintain, and improve the Services and to develop other products and services. We will not train our models on any Materials that are not publicly available, except in two circumstances:
1. If you provide Feedback to us (through the Services or otherwise) regarding any Materials, we may use that Feedback in accordance with Section 5 (Feedback). 2. If your Materials are flagged for trust and safety review, we may use or analyze those Materials to improve our ability to detect and enforce Acceptable Use Policy violations, including training models for use by our trust and safety team, consistent with Anthropic's safety mission.
From · 3 captures, last
Our use of Materials.** We may use Materials to provide, maintain, and improve the Services and to develop other products and services. We will not train our models on any Materials that are not publicly available, except in two circumstances:
1. If Services, including training our models, unless you opt out of training through your account settings. Even if you opt out, we will use Materials for model training when: (1) you provide Feedback to us (through the Services or otherwise) regarding any Materials, we may use that Feedback in accordance with Section 5 (Feedback). 2. If regarding any Materials, or (2) your Materials are flagged for trust and safety review, we may use or analyze those Materials safety review to improve our ability to detect and enforce Acceptable Use Policy violations, including training models for use by our trust and safety team, consistent with Anthropic's safety mission.harmful content, enforce our policies, or advance our safety research.
From · 2 captures, last · current
Our use of Materials.** We may use Materials to provide, maintain, and improve the Services,Services and to develop other products and services, including training our models, unless you opt out of training through your account settings. Even if you opt out, we will use Materials for model training when: (1) you provide Feedback to us regarding any Materials, or (2) your Materials are flagged for safety review to improve our ability to detect harmful content, enforce our policies, or advance our safety research.