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Add Recall card; fix build warnings in AI Cards PR
- Add recall-application-card.md (new CELA-approved content) - Add Recall to TOC - Fix rai.md: remove broken link to deleted overview.md - Fix locale codes (en-us) in learn.microsoft.com links - Replace review.learn.microsoft.com staging links with /legal/ai-code-of-conduct - Fix broken Outlook safelinks in click-to-do card - Fix markdown link syntax (space between ] and () in paint/studio-effects cards) - Replace absolute https://learn.microsoft.com/azure/* links with relative paths Co-authored-by: Copilot <[email protected]>
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docs/TOC.yml

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href: ./cards/phi-silica-platform-card.md
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- name: Text Recognition (OCR) Platform Card
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href: ./cards/text-recognition-ocr-platform-card.md
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- name: Recall Application Card
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href: ./cards/recall-application-card.md
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- name: FAQ
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items:
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- name: How to choose between cloud and local AI

docs/cards/click-to-do-application-card.md

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Microsoft's Application and Platform Cards are intended to help you understand how our AI technology works, the choices application owners can make that influence application performance and behavior, and the importance of considering the whole application, including the technology, the people, and the environment. Application cards are created for AI applications and platform cards are created for AI platform services. These resources can support the development or deployment of your own applications and can be shared with users or stakeholders impacted by them.
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As part of its commitment to responsible AI, Microsoft adheres to six core principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. These principles are embedded in the Responsible AI Standard, which guides teams in designing, building, and testing AI applications. Application and Platform Cards play a key role in operationalizing these principles by offering transparency around capabilities, intended uses, and limitations. For further insight, readers are encouraged to explore Microsoft's [Responsible AI Transparency Report](https://www.microsoft.com/ai/responsible-ai) and Code of Conduct, which outline how [enterprise customers](https://learn.microsoft.com/en-us/legal/ai-code-of-conduct) and [individuals](https://www.microsoft.com/en-us/servicesagreement) can engage with AI responsibly.
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As part of its commitment to responsible AI, Microsoft adheres to six core principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. These principles are embedded in the Responsible AI Standard, which guides teams in designing, building, and testing AI applications. Application and Platform Cards play a key role in operationalizing these principles by offering transparency around capabilities, intended uses, and limitations. For further insight, readers are encouraged to explore Microsoft's [Responsible AI Transparency Report](https://www.microsoft.com/ai/responsible-ai) and Code of Conduct, which outline how [enterprise customers](/legal/ai-code-of-conduct) and [individuals](https://www.microsoft.com/servicesagreement) can engage with AI responsibly.
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## Overview
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## Limitations
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Understanding Click to Do's limitations is crucial to determine it is used within safe and effective boundaries. While we encourage customers to leverage Click to Do in their innovative solutions or applications, it's important to note that Click to Do was not designed for every possible scenario. We encourage users to refer to either the [Microsoft Enterprise AI Services Code of Conduct](https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Freview.learn.microsoft.com%2Fen-us%2Flegal%2Fai-code-of-conduct&data=05%7C02%7Ctina.huang%40microsoft.com%7C62905abb120b4ef47a3a08de6e810fe1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C639069697817955974%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=CP2gWw8lsw%2BeE3JGo05cUWVcEImNScFzcs6o6zq6pLw%3D&reserved=0) (for organizations) or the [Code Conduct section in the Microsoft Services Agreement](https://nam06.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.microsoft.com%2Fservicesagreement%233_codeOfConduct&data=05%7C02%7Ctina.huang%40microsoft.com%7C62905abb120b4ef47a3a08de6e810fe1%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C639069697817966076%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=YRrDin%2FZ%2Fs7YcqMi6B8HQyHS1lGWNsVRpVUAQ7LlWSM%3D&reserved=0) (for individuals) as well as the following considerations when choosing a use case:
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Understanding Click to Do's limitations is crucial to determine it is used within safe and effective boundaries. While we encourage customers to leverage Click to Do in their innovative solutions or applications, it's important to note that Click to Do was not designed for every possible scenario. We encourage users to refer to either the [Microsoft Enterprise AI Services Code of Conduct](/legal/ai-code-of-conduct) (for organizations) or the [Code Conduct section in the Microsoft Services Agreement](https://www.microsoft.com/servicesagreement#3_codeOfConduct) (for individuals) as well as the following considerations when choosing a use case:
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- **Hardware-Dependent AI**: Click to Do is only available on a Copilot+ PC or eligible Cloud PC, requiring 40 TOPS NPU (neural processing unit), 16 GB RAM, 8 logical processors, and 256 GB storage capacity.
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docs/cards/image-ai-apis-platform-card.md

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- [Microsoft AI principles](https://www.microsoft.com/ai/responsible-ai)
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- [Microsoft responsible AI resources](https://www.microsoft.com/ai/responsible-ai-resources)
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- [Microsoft Azure Learning courses on responsible AI](https://learn.microsoft.com/azure/machine-learning/concept-responsible-ai)
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- [Microsoft Azure Learning courses on responsible AI](/azure/machine-learning/concept-responsible-ai)

docs/cards/microsoft-paint-application-card.md

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Microsoft's Application and Platform Cards are intended to help you understand how our AI technology works, the choices application owners can make that influence application performance and behavior, and the importance of considering the whole application, including the technology, the people, and the environment. Application cards are created for AI applications and platform cards are created for AI platform services. These resources can support the development or deployment of your own applications and can be shared with users or stakeholders impacted by them.
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As part of its commitment to responsible AI, Microsoft adheres to six core principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. These principles are embedded in the Responsible AI Standard, which guides teams in designing, building, and testing AI applications. Application and Platform Cards play a key role in operationalizing these principles by offering transparency around capabilities, intended uses, and limitations. For further insight, readers are encouraged to explore Microsoft's [Responsible AI Transparency Report](https://www.microsoft.com/ai/responsible-ai) and code of conduct, which outline how [enterprise customers] (https://review.learn.microsoft.com/en-us/legal/ai-code-of-conduct?branch=main) and [individuals] (https://www.microsoft.com/en-us/servicesagreement#3_codeOfConduct) can engage with AI responsibly.
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As part of its commitment to responsible AI, Microsoft adheres to six core principles: fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. These principles are embedded in the Responsible AI Standard, which guides teams in designing, building, and testing AI applications. Application and Platform Cards play a key role in operationalizing these principles by offering transparency around capabilities, intended uses, and limitations. For further insight, readers are encouraged to explore Microsoft's [Responsible AI Transparency Report](https://www.microsoft.com/ai/responsible-ai) and code of conduct, which outline how [enterprise customers](/legal/ai-code-of-conduct) and [individuals](https://www.microsoft.com/servicesagreement#3_codeOfConduct) can engage with AI responsibly.
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## Overview
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## Limitations
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Understanding Microsoft Paint's limitations is crucial to help ensure it is used within safe and effective boundaries. While we encourage customers to leverage Microsoft Paint in their innovative solutions or applications, it's important to note that Microsoft Paint was not designed for every possible scenario. We encourage users to refer to either the Microsoft [Enterprise AI Services Code of Conduct (for organizations)] (https://review.learn.microsoft.com/en-us/legal/ai-code-of-conduct?branch=main) or the [Code Conduct section in the Microsoft Services Agreement (for individuals)](https://www.microsoft.com/en-us/servicesagreement#3_codeOfConduct).
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Understanding Microsoft Paint's limitations is crucial to help ensure it is used within safe and effective boundaries. While we encourage customers to leverage Microsoft Paint in their innovative solutions or applications, it's important to note that Microsoft Paint was not designed for every possible scenario. We encourage users to refer to either the Microsoft [Enterprise AI Services Code of Conduct (for organizations)](/legal/ai-code-of-conduct) or the [Code Conduct section in the Microsoft Services Agreement (for individuals)](https://www.microsoft.com/servicesagreement#3_codeOfConduct).
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- **Dependence on device capabilities**: Microsoft Paint's AI features may perform differently depending on the device hardware, especially for features designed to run locally on supported devices. Performance may degrade or features may become unavailable if required system resources are limited.
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docs/cards/phi-silica-platform-card.md

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- [Microsoft AI principles](https://www.microsoft.com/ai/responsible-ai)
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- [Microsoft responsible AI resources](https://www.microsoft.com/ai/responsible-ai-resources)
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- [Microsoft Azure Learning courses on responsible AI](https://learn.microsoft.com/azure/machine-learning/concept-responsible-ai)
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- [Microsoft Azure Learning courses on responsible AI](/azure/machine-learning/concept-responsible-ai)

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