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lootle1 · lootle1 · commit 056e56929f56 · 2025-01-21T12:25:31.000-06:00
diff --git a/learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/includes/1-introduction.md b/learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/includes/1-introduction.md
@@ -1,4 +1,4 @@
-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.
 
diff --git a/learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/includes/3-use-guidelines-for-human-ai-interaction.md b/learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/includes/3-use-guidelines-for-human-ai-interaction.md
@@ -6,7 +6,7 @@ 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.
+- **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.
diff --git a/learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/includes/4-follow-the-responsible-ai-standard-playbook.md b/learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/includes/4-follow-the-responsible-ai-standard-playbook.md
@@ -4,7 +4,7 @@ Microsoft's Responsible AI Standard Playbook was developed to bridge the policy
 
 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 |
 | --------- | ----- |
diff --git a/learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/includes/6-summary.md b/learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/includes/6-summary.md
@@ -5,7 +5,7 @@ In conclusion, Microsoft's commitment to responsible AI development is a testame
 To continue your learning journey, go to:
 
 - [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 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.)
diff --git a/learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/index.yml b/learn-pr/philanthropies/introduction-to-microsofts-responsible-ai-approach/index.yml
@@ -12,7 +12,7 @@ metadata:
   ms.collection:
     - philanthropies-ai-copilot
 title: Introduction to Microsoft's Responsible AI Approach
-summary: This module provides an overview of Microsoft's Responsible AI Framework. You will explore the principles, guidelines, and standards that shape Microsoft's commitment to ethical and responsible AI development.
+summary: This module provides an overview of Microsoft's Responsible AI Framework. You'll explore the principles, guidelines, and standards that shape Microsoft's commitment to ethical and responsible AI development.
 
 abstract: |
   By the end of this module, you're able to:

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`1`		`-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.`
	`1`	`+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.`
`2`	`2`
`3`	`3`	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.
`4`	`4`