Merge pull request #48757 from lootle1/MR69

Technical Review 1016243: Introduction to Microsoft's Responsible AI …

Author: JamesJBarnett

learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/1-introduction.yml

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   description: This content is a part of the “Introduction to Microsoft's Responsible AI Approach” module.
   author: yoosunee
   ms.author: anruss
-  ms.date: 01/14/2025
+  ms.date: 01/17/2025
   ms.topic: unit
   ms.collection:
     - philanthropies-ai-copilot

learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/2-discover-microsofts-responsible-ai-principles.yml

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   description: This content is a part of the “Introduction to Microsoft's Responsible AI Approach” module.
   author: yoosunee
   ms.author: anruss
-  ms.date: 01/14/2025
+  ms.date: 01/17/2025
   ms.topic: unit
   ms.collection:
     - philanthropies-ai-copilot

learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/3-use-guidelines-for-human-ai-interaction.yml

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   description: This content is a part of the “Introduction to Microsoft's Responsible AI Approach” module.
   author: yoosunee
   ms.author: anruss
-  ms.date: 01/14/2025
+  ms.date: 01/17/2025
   ms.topic: unit
   ms.collection:
     - philanthropies-ai-copilot

learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/4-follow-the-responsible-ai-standard-playbook.yml

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   description: This content is a part of the “Introduction to Microsoft's Responsible AI Approach” module.
   author: yoosunee
   ms.author: anruss
-  ms.date: 01/14/2025
+  ms.date: 01/17/2025
   ms.topic: unit
   ms.collection:
     - philanthropies-ai-copilot

learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/5-knowledge-check.yml

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   description: This content is a part of the Introduction to Microsoft's Responsible AI Approach module.
   author: yoosunee
   ms.author: anruss
-  ms.date: 01/14/2025
+  ms.date: 01/17/2025
   ms.topic: unit
   ms.collection:
     - philanthropies-ai-copilot

learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/6-summary.yml

@@ -6,7 +6,7 @@ metadata:
   description: This content is a part of the “Introduction to Microsoft's Responsible AI Approach” module.
   author: yoosunee
   ms.author: anruss
-  ms.date: 01/14/2025
+  ms.date: 01/17/2025
   ms.topic: unit
   ms.collection:
     - philanthropies-ai-copilot

learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/includes/1-introduction.md

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-As AI becomes more deeply woven into our everyday routines, Microsoft is leading the charge to ensure AI is developed and deployed responsibly. Microsoft recognizes the need for responsible AI systems, and has created frameworks to help people build and recognize responsible AI systems. These measures ensure that AI technologies aren't just cutting-edge and efficient, but also align with our fundamental values.
+As AI becomes more deeply woven into our everyday routines, Microsoft is leading the charge to ensure AI is developed and deployed responsibly. Microsoft recognizes the need for responsible AI systems and has created frameworks to help people build and recognize responsible AI systems. These measures ensure that AI technologies aren't just cutting-edge and efficient, but they also align with our fundamental values.
 
 Consider Microsoft Copilot. Microsoft Copilot is designed as an AI assistant to provide information, answer questions, and engage in conversations. This tool sets clear expectations by informing users of its capabilities and limitations. It maintains relevance by understanding and responding to user inputs, manages errors by identifying and correcting them, and improves through adaptive learning from user feedback. The system is impartial to all users, ensuring reliability and safety with accurate information. It upholds privacy by not retaining personal data and secures user information. Accessible to everyone, it promotes inclusivity, operates with transparency by clarifying its functions, and demonstrates accountability by rectifying mistakes.
 

learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/includes/3-use-guidelines-for-human-ai-interaction.md

@@ -6,9 +6,9 @@ The guidelines provide recommendations for creating meaningful AI-infused experi
 
 Source: Microsoft. (2023.). Guidelines for human-AI interaction.
 
-- **Setting Expectations**. The first category emphasizes the importance of clarity regarding the AI system's capabilities and performance. It is essential to articulate what the system can do and how well it can perform these tasks. This level of transparency helps users understand the AI system's limitations and expected performance, setting the stage for realistic expectations and trust in the system. Providing concrete examples can further illustrate the system's practical applications and functionalities.
-- **Contextual Relevance**. The second category focuses on the AI system's ability to provide timely, contextually relevant services that are socially and culturally appropriate. The system should be designed to adapt to a variety of cultural and social contexts, recognizing and respecting diversity to ensure inclusivity. Actively identifying and reducing biases in AI algorithms is also crucial to maintain fairness and equity in the system's operations.
-- **Error Handling**. The third category deals with planning for scenarios when the AI system is incorrect. It is important to have robust error-handling mechanisms in place, allowing users to easily dismiss and correct inaccurate services. This empowers users to maintain control over the AI system and fosters trust, knowing they can intervene and rectify issues as needed.
-- **Adaptive Learning**. The fourth category highlights the necessity for the AI system to learn and adapt over time based on user feedback. Users must be able to teach the implemented AI system through granular feedback and have global controls to customize the system's monitoring and operations. It is also important for the system to inform users about updates to its capabilities, ensuring that the AI remains a helpful and relevant tool that evolves with the users' needs.
+- **Setting Expectations**: The first category emphasizes the importance of clarity regarding the AI system's capabilities and performance. It's essential to articulate what the system can do and how well it can perform these tasks. This level of transparency helps users understand the AI system's limitations and expected performance, setting the stage for realistic expectations and trust in the system. Providing concrete examples can further illustrate the system's practical applications and functionalities.
+- **Contextual Relevance**: The second category focuses on the AI system's ability to provide timely, contextually relevant services that are socially and culturally appropriate. The system should be designed to adapt to a variety of cultural and social contexts, recognizing and respecting diversity to ensure inclusivity. Actively identifying and reducing biases in AI algorithms is also crucial to maintain fairness and equity in the system's operations.
+- **Error Handling**: The third category deals with planning for scenarios when the AI system is incorrect. It's important to have robust error-handling mechanisms in place, allowing users to easily dismiss and correct inaccurate services. This empowers users to maintain control over the AI system and fosters trust, knowing they can intervene and rectify issues as needed.
+- **Adaptive Learning**: The fourth category highlights the necessity for the AI system to learn and adapt over time based on user feedback. Users must be able to teach the implemented AI system through granular feedback and have global controls to customize the system's monitoring and operations. It's also important for the system to inform users about updates to its capabilities, ensuring that the AI remains a helpful and relevant tool that evolves with the users' needs.
 
 Building on the foundation of human-AI interaction guidelines, we transition to the Microsoft Responsible AI Standard Playbook. This playbook represents a pivotal evolution in Microsoft's approach to AI, addressing the complexities and challenges that come with integrating AI into our daily routines. While the guidelines for human-AI interaction focus on the immediate interface between humans and technology, the Responsible AI Standard broadens the scope to encompass the ethical framework that governs AI development and deployment.

learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/includes/4-follow-the-responsible-ai-standard-playbook.md

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-Technological advances make artificial intelligence an integral part of our daily lives. While AI opens many opportunities and possibilities, It's also prone to errors that can lead to harm. To protect users from these potential risks, practical guidelines are needed that help steer the creation and application of AI toward more beneficial and fair outcomes.
+Technological advances make artificial intelligence an integral part of our daily lives. While AI opens many opportunities and possibilities, it's also prone to errors that can lead to harm. To protect users from these potential risks, practical guidelines are needed that help steer the creation and application of AI toward more beneficial and fair outcomes.
 
 Microsoft's Responsible AI Standard Playbook was developed to bridge the policy gap in AI, providing concrete guidance for upholding the company's AI principles. This living document, now in its second version, is part of an ongoing effort to refine AI norms and practices. It's designed to evolve with new insights and regulations, contributing to the global dialogue on responsible AI development. Microsoft encourages collaboration across sectors to further this initiative, emphasizing the need for principled, actionable standards in AI deployment.
 
 The Responsible AI Standard also helps users determine whether an AI system is created and implemented with responsible AI principles in mind. It's composed of two key aspects:
 
-**Goals**: Goals or outcomes are the conditions that must be achieved in creating an AI system. These goals help breakdown the six responsible AI principles like "accountability" into specific goals such as impact assessment, data governance, and human oversight.
+**Goals**: Goals or outcomes are the conditions that must be achieved in creating an AI system. These goals help break down the six responsible AI principles like "accountability" into specific goals such as impact assessment, data governance, and human oversight.
 
 | Principle | Goals |
 | --------- | ----- |
@@ -15,10 +15,10 @@ The Responsible AI Standard also helps users determine whether an AI system is c
 | **Privacy & Security** | PS1: Privacy Standard compliance<br>PS2: Security Policy compliance |
 | **Inclusiveness** | I1: Accessibility Standards compliance |
 
-**Requirements**: Each goal is supported to meet specific requirements, and the steps that a team must follow to ensure the AI system fulfills the goals at every stage of its lifecycle. The number of requirements may differ for each goal. For instance, under the principle of Transparency, there's a goal titled 'Communication to Stakeholders.' A requirement for achieving this goal is 'T2.1 Identify,' which involves two tasks: first, pinpointing stakeholders who decide on the system's deployment for certain tasks, and second, identifying the stakeholders who develop or integrate systems that work with it. These stakeholders should be documented in the Impact Assessment template, under the category of Impact Assessment.
+**Requirements**: Each goal is supported to meet specific requirements, and the steps that a team must follow to ensure the AI system fulfills the goals at every stage of its lifecycle. The number of requirements may differ for each goal. For instance, under the principle of Transparency, there's a goal titled *Communication to Stakeholders*. A requirement for achieving this goal is *T2.1 Identify*, which involves two tasks. First, pinpointing stakeholders who decide on the system's deployment for certain tasks. Second, identifying the stakeholders who develop or integrate systems that work with it. These stakeholders should be documented in the Impact Assessment template, under the category of Impact Assessment.
 
 In addition to the two aspects previously mentioned, the standard also provides tools and resources to help people implement the requirements effectively and efficiently. The standard includes best practices, checklists, templates, training modules, and case studies.
 
-Though the goals and requirements are already detailed, the Responsible AI Standard continues to evolve. It's regularly updated based on feedback from internal and external stakeholders and new research and insights. Contributions from users and creators of AI systems will be needed to continuously monitor and measure the development of their AI systems, and then compare the best practices that they learn with these existing guidelines.
+Though the goals and requirements are already detailed, the Responsible AI Standard continues to evolve. It's regularly updated based on feedback from internal and external stakeholders and new research and insights. Contributions from users and creators of AI systems are needed to continuously monitor and measure the development of their AI systems, and then compare the best practices that they learn with these existing guidelines.
 
 Want to learn more about the standards? Download the guide by visiting: [Empowering responsible AI practices | Microsoft AI](https://www.microsoft.com/ai/responsible-ai).

learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/includes/6-summary.md

@@ -1,20 +1,20 @@
-In conclusion, Microsoft's commitment to responsible AI development is a testament to its foresight and dedication to ethical technology practices. Microsoft adheres to principles, such as fairness, reliability, safety, privacy, security, inclusiveness, transparency, and accountability. Microsoft isn't only creating AI services like Microsoft Copilot, but also ensuring these new AI tools are grounded in the highest standards. As AI continues to evolve and become more ingrained in our lives, Microsoft's guidelines and standards serve as a beacon. These standards guide the industry towards a future, where technology enhances human capabilities and upholds our shared values. This module provides a glimpse into the careful approach that Microsoft employs to harmonize AI technology. Responsible implementation sets a benchmark for the industry at large, and allows trainers to use and build AI responsibly.
+In conclusion, Microsoft's commitment to responsible AI development is a testament to its foresight and dedication to ethical technology practices. Microsoft adheres to principles, such as fairness, reliability, safety, privacy, security, inclusiveness, transparency, and accountability. Microsoft isn't only creating AI services like Microsoft Copilot, but also ensuring these new AI tools are grounded in the highest standards. As AI continues to evolve and become more ingrained in our lives, Microsoft's guidelines and standards serve as a beacon. These standards guide the industry towards a future where technology enhances human capabilities and upholds our shared values. This module provides a glimpse into the careful approach that Microsoft employs to harmonize AI technology. Responsible implementation sets a benchmark for the industry at large, and allows trainers to use and build AI responsibly.
 
 ## Other Resources
 
 To continue your learning journey, go to:
 
-- [https://www.microsoft.com/research/uploads/prod/2019/01/Guidelines-for-Human-AI-Interaction-camera-ready.pdf](https://www.microsoft.com/research/uploads/prod/2019/01/Guidelines-for-Human-AI-Interaction-camera-ready.pdf)
-- [https://www.microsoft.com/research/blog/guidelines-for-human-ai-interaction-design/](https://www.microsoft.com/research/blog/guidelines-for-human-ai-interaction-design/)
-- [https://medium.com/microsoft-design/guidelines-for-human-ai-interaction-9aa1535d72b9](https://medium.com/microsoft-design/guidelines-for-human-ai-interaction-9aa1535d72b9)
-- [https://medium.com/microsoft-design/ai-guidelines-in-the-creative-process-807b6d31cda2](https://medium.com/microsoft-design/ai-guidelines-in-the-creative-process-807b6d31cda2)
-- [Microsoft Responsible AI | Microsoft AI](https://educationblog.microsoft.com/2023/06/collaborating-to-bring-ai-innovation-to-education#:~:text=%5BSolution%5D%20Responsible%20AI%20in%20Microsoft%201%20Put%20responsible,responsible%20AI%20through%20our%20work%20with...%20See%20More.)
-- [Microsoft Responsible AI Standard v2 General Requirements](/training/modules/embrace-responsible-ai-principles-practices/2-prepare-implications-responsible-ai)
-- [teachai.org/toolkit](https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE5cmFl?url=http%3A%2F%2Fgo.pardot.com%2Fe%2F153401%2Ftoolkit%2Fpqrvpt%2F998442024%2Fh%2FwDR5dUAOyFfmSXJdMajUTJDvPKMidpMBmWwF6piYiOA&data=05%7C01%7Cv-marydownes%40microsoft.com%7Cad37c936a3c04469641608dbd2a9451b%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C638335396682342090%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=IiV2wzljZ%2BlMX4PkAgBVXloQ9kI%2FRoaqOndxKr2VIvI%3D&reserved=0)
+- [Guidelines for Human-AI Interaction (Microsoft)](https://www.microsoft.com/research/uploads/prod/2019/01/Guidelines-for-Human-AI-Interaction-camera-ready.pdf)
+- [Guidelines for human-AI interaction design](https://www.microsoft.com/research/blog/guidelines-for-human-ai-interaction-design/)
+- [Guidelines for Human-AI Interaction (Medium)](https://medium.com/microsoft-design/guidelines-for-human-ai-interaction-9aa1535d72b9)
+- [AI Guidelines in the Creative Process](https://medium.com/microsoft-design/ai-guidelines-in-the-creative-process-807b6d31cda2)
+- [Collaborating to bring AI innovation to education](https://educationblog.microsoft.com/2023/06/collaborating-to-bring-ai-innovation-to-education#:~:text=%5BSolution%5D%20Responsible%20AI%20in%20Microsoft%201%20Put%20responsible,responsible%20AI%20through%20our%20work%20with...%20See%20More.)
+- [Prepare for the implications of responsible AI](/training/modules/embrace-responsible-ai-principles-practices/2-prepare-implications-responsible-ai)
+- [Microsoft Responsible AI Standard, V2](https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE5cmFl?url=http%3A%2F%2Fgo.pardot.com%2Fe%2F153401%2Ftoolkit%2Fpqrvpt%2F998442024%2Fh%2FwDR5dUAOyFfmSXJdMajUTJDvPKMidpMBmWwF6piYiOA&data=05%7C01%7Cv-marydownes%40microsoft.com%7Cad37c936a3c04469641608dbd2a9451b%7C72f988bf86f141af91ab2d7cd011db47%7C1%7C0%7C638335396682342090%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=IiV2wzljZ%2BlMX4PkAgBVXloQ9kI%2FRoaqOndxKr2VIvI%3D&reserved=0)
 
 ## Bibliography
 
 - Crampton N. [Microsoft's framework for building AI systems responsibly](https://blogs.microsoft.com/on-the-issues/2022/06/21/microsofts-framework-for-building-ai-systems-responsibly/). Microsoft. Published June 21, 2022.
 - [Transparency Note for Azure AI Language](/legal/cognitive-services/language-service/transparency-note). Microsoft. Published July 19, 2023.
-- [Responsible AI Principles from Microsoft](https://www.microsoft.com/ai/responsible-ai). Microsoft.
+- [Empowering responsible AI practices](https://www.microsoft.com/ai/responsible-ai). Microsoft.
 - [Guidelines for Human-AI Interaction](https://www.microsoft.com/research/project/guidelines-for-human-ai-interaction/). Microsoft Research.