Claude Code policy evolution
Before/after stance changes across captured policy versions, with exact citations. If no before/after delta is available yet, AIRIN shows the latest citation-backed stance events instead.
No before/after stance delta is available for this filter yet. Latest citation-backed stance events are shown below.
Jul 20, 2026trainingmedium
model training
Latest stance: training with opt out
“We use your personal data for the following purposes: To provide, maintain and facilitate any products and services offered to you with respect to your Anthropic account, which are governed by our Terms of Service; To provide, maintain and facilitate optional services and features that enhance platform functionality and user experience; To provide you with service updates, communications, and to provide tailored recommendations about our Services that may be of interest to you; To create and administer your Anthropic account; To facilitate payments for products and services provided by Anthropic; To prevent and investigate fraud, abuse, and violations of our Usage Policy , unlawful or criminal activity, unauthorized access to or use of personal data or Anthropic systems and networks, to protect our rights and the rights of others, to protect your safety or that of any other person, and to meet legal, governmental and institutional policy obligations; To investigate and resolve disputes; To investigate and resolve security issues; To debug and to identify and repair errors that impair existing functionality; 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 To enforce our Terms of Service and similar terms and agreements, including our Usage Policy . We may use your Inputs and Outputs to train and improve Anthropic AI models, unless you opt out through your account settings.”
Open citationJul 20, 2026traininghigh
model training
Latest stance: training permitted
“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 user experience, we may analyze and aggregate general user behavior and usage data. This information does not identify individual users. Where data is de-identified, Anthropic will maintain and use this information in its de-identified form, and will not attempt to re-identify such information, except as permitted by law.”
Open citationJul 20, 2026traininghigh
model training
Latest stance: training permitted
“It is in our legitimate interests and in the interest of Anthropic users to evaluate the use of the Services and adoption of new features to inform the development of future features and improve direction and development of the Services. 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. 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. Feedback”
Open citationJul 8, 2026traininghigh
model training
Latest stance: training permitted
“It is in our legitimate interests and in the interest of Anthropic users to evaluate the use of the Services and adoption of new features to inform the development of future features and improve direction and development of the Services. 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. 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. Feedback”
Open citationJul 8, 2026traininghigh
model training
Latest stance: training permitted
“It is in our legitimate interests to maintain continuous functioning of our services and rapid correction of problems to ensure a positive user experience that encourages engagement. To improve the Services and conduct research (excluding model training) Identity and Contact Data”
Open citationJul 8, 2026traininghigh
model training
Latest stance: training permitted
“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 user experience, we may analyze and aggregate general user behavior and usage data. This information does not identify individual users. Where data is de-identified, Anthropic will maintain and use this information in its de-identified form, and will not attempt to re-identify such information, except as permitted by law.”
Open citationJul 8, 2026trainingmedium
model training
Latest stance: training with opt out
“We use your personal data for the following purposes: To provide, maintain and facilitate any products and services offered to you with respect to your Anthropic account, which are governed by our Terms of Service; To provide, maintain and facilitate optional services and features that enhance platform functionality and user experience; To provide you with service updates, communications, and to provide tailored recommendations about our Services that may be of interest to you; To create and administer your Anthropic account; To facilitate payments for products and services provided by Anthropic; To prevent and investigate fraud, abuse, and violations of our Usage Policy , unlawful or criminal activity, unauthorized access to or use of personal data or Anthropic systems and networks, to protect our rights and the rights of others, to protect your safety or that of any other person, and to meet legal, governmental and institutional policy obligations; To investigate and resolve disputes; To investigate and resolve security issues; To debug and to identify and repair errors that impair existing functionality; 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 To enforce our Terms of Service and similar terms and agreements, including our Usage Policy . We may use your Inputs and Outputs to train and improve Anthropic AI models, unless you opt out through your account settings.”
Open citationJul 8, 2026trainingmedium
data sharing
Latest stance: third party or vendor sharing
“Anthropic is a global company, and when you access our Services, your personal data is transferred to our servers in the US, or to other countries outside the European Economic Area (“EEA”) and the UK for the purposes outlined in Section 2 of this Privacy Policy, for example to provide you with the Service, or to train our models, or to conduct research. This may be a direct provision of your personal data to us, or a transfer that we or a third party make. You can find more details about the affiliates and third parties we transfer data to, including their locations, in our Trust Center. Where Anthropic transfers information outside the EEA or the UK, we ensure it benefits from an adequate level of data protection by relying on: Adequacy decisions: These are decisions from the European Commission under Article 45 GDPR (or equivalent decisions under other laws) where they recognize that a country outside of the EEA offers an adequate level of data protection. We transfer your information as described in “Collection of Personal Data” to some countries with adequacy decisions, such as the countries with EU adequacy decisions listed here and countries with UK adequacy decisions listed here ; or Standard contractual clauses: The European Commission has approved contractual clauses under Article 46 GDPR that allows companies in the EEA to transfer data outside the EEA. These (and their approved equivalent for the UK and Switzerland) are called standard contractual clauses.”
Open citationJun 17, 2026traininghigh
model training
Latest stance: training permitted
“It is in our legitimate interests and in the interest of Anthropic users to evaluate the use of the Services and adoption of new features to inform the development of future features and improve direction and development of the Services. 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. 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. Feedback”
Open citationJun 17, 2026traininghigh
model training
Latest stance: training permitted
“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 user experience, we may analyze and aggregate general user behavior and usage data. This information does not identify individual users.”
Open citationJun 17, 2026trainingmedium
model training
Latest stance: training with opt out
“We use your personal data for the following purposes: To provide, maintain and facilitate any products and services offered to you with respect to your Anthropic account, which are governed by our Terms of Service; To provide, maintain and facilitate optional services and features that enhance platform functionality and user experience; To communicate with you, including to send you information about our Services and events; To create and administer your Anthropic account; To facilitate payments for products and services provided by Anthropic; To prevent and investigate fraud, abuse, and violations of our Usage Policy , unlawful or criminal activity, unauthorized access to or use of personal data or Anthropic systems and networks, to protect our rights and the rights of others, and to meet legal, governmental and institutional policy obligations; To investigate and resolve disputes; To investigate and resolve security issues; To debug and to identify and repair errors that impair existing functionality To improve the Services and conduct research, including training our models; and To enforce our Terms of Service and similar terms and agreements, including our Usage Policy . 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). Please see Section 10 below for details of our legal bases for processing your personal data.”
Open citationJun 17, 2026traininghigh
model training
Latest stance: training permitted
“It is in our legitimate interests to maintain continuous functioning of our services and rapid correction of problems to ensure a positive user experience that encourages engagement. To improve the Services and conduct research (excluding model training) Identity and Contact Data”
Open citationJun 17, 2026traininglow
model training
Latest stance: no training claim
“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 ”).”
Open citationJun 17, 2026traininghigh
model training
Latest stance: training permitted
“D.1. Compliance. Each party will comply with all laws applicable to the provision (for Anthropic) and use (for Customer) of the Services, including any applicable data privacy laws. D.2. Policies and Service Terms. Customer and its Users may only use the Services in compliance with these Terms, including (a) the Usage Policy (“ Usage Policy ”, which was previously referred to as the Acceptable Use Policy), (b) our policy on the countries and regions Anthropic currently supports (“ Supported Regions Policy ”) and (c) our Service Specific Terms , each of which is incorporated by reference into these Terms. Customer must cooperate with reasonable requests for information from Anthropic to support compliance with its Usage Policy, including to verify Customer’s identity and use of the Services. D.3. Limitations of Outputs; Notice to Users. It is Customer’s responsibility to evaluate whether Outputs are appropriate for Customer’s use case, including where human review is appropriate, before using or sharing Outputs. Customer acknowledges, and must notify its Users, that factual assertions in Outputs should not be relied upon without independently checking their accuracy, as they may be false, incomplete, misleading or not reflective of recent events or information. Customer further acknowledges that Outputs may contain content inconsistent with Anthropic’s views. D.4. Use Restrictions. Customer may not and must not attempt to (a) access the Services to build a competing product or service, including to train competing AI models or resell the Services except as expressly approved by Anthropic; (b) reverse engineer or duplicate the Services; or (c) support any third party’s attempt at any of the conduct restricted in this sentence.”
Open citationJun 17, 2026traininghigh
model training
Latest stance: training permitted
“K.1. Claims Against Customer. Anthropic will defend Customer and its personnel, successors, and assigns from and against any Customer Claim (as defined below) and indemnify them for any judgment that a court of competent jurisdiction grants a third party on such Customer Claim or that an arbitrator awards a third party under any Anthropic-approved settlement of such Customer Claim. " Customer Claim " means a third-party claim, suit, or proceeding alleging that Customer’s paid use of the Services (which includes data Anthropic has used to train a model that is part of the Services) in accordance with these Terms or Outputs generated through such authorized use violates any third-party intellectual property right. K.2. Claims Against Anthropic. Customer will defend Anthropic and its personnel, successors, and assigns from and against any Anthropic Claim (as defined below) and indemnify them for any judgment that a court of competent jurisdiction grants a third party on such Anthropic Claim or that an arbitrator awards a third party under any Customer-approved settlement of such Anthropic Claim. “ Anthropic Claim ” means any third-party claim, suit, or proceeding related to Customer’s or its Users’ (a) Inputs or other data provided by Customer, or (b) use of the Services in violation of the Usage Policy, the Service Specific Terms, or Section D.4 (Use Restrictions). Anthropic Claims and Customer Claims are each a “ Claim ”, as applicable.”
Open citationGenerated from live stance events. Informational only, not legal advice.