Line edits2

Author: lootle1

learn-pr/philanthropies/apply-responsible-ai-principles/8-knowledge-check.yml

@@ -20,12 +20,12 @@ quiz:
         - content: "To confirm, the AI system's performance is consistent with its training data."
           isCorrect: false
           explanation: "Incorrect. While consistency with training data is important, the key reason for evaluation with real-world data is to ensure the system performs fairly across all demographic groups."
-        - content: "To ensure the AI system does not require any updates or improvements."
+        - content: "To ensure the AI system doesn't require any updates or improvements."
           isCorrect: false
           explanation: "Incorrect. Evaluation with real-world data is crucial precisely because it helps identify areas where the AI system may need updates or improvements to ensure fairness."
         - content: "To verify the AI system performs equitably for different demographic groups."
           isCorrect: true
-          explanation: "Correct. Evaluating real-world data is essential to ensure that the AI system's error rates are fair and do not disproportionately affect any demographic group."
+          explanation: "Correct. Evaluating real-world data is essential to ensure that the AI system's error rates are fair and don't disproportionately affect any demographic group."
     - content: "How does Microsoft's responsible AI standard promote accessibility?"
       choices:
         - content: "By requiring AI systems to be accessible through traditional interaction methods."

learn-pr/philanthropies/apply-responsible-ai-principles/includes/3-explore-the-reliability-and-safety-principle.md

@@ -1,4 +1,4 @@
-Reliability & safety in AI tools are crucial because they ensure that the AI tools operate as intended, respond appropriately to unexpected situations, resist malicious manipulation, and provide consistent, trustworthy outcomes. In this video, you will learn about the importance of reliability and safety in AI tools, including the qualities of resiliency and availability.
+Reliability & safety in AI tools are crucial because they ensure that the AI tools operate as intended, respond appropriately to unexpected situations, resist malicious manipulation, and provide consistent, trustworthy outcomes. In this video, you'll learn about the importance of reliability and safety in AI tools, including the qualities of resiliency and availability.
 
 > [!VIDEO https://go.microsoft.com/fwlink/?linkid=2281703]
 
@@ -24,4 +24,4 @@ When adding AI to educational settings, it's key to choosing systems that can be
 
 :::image type="icon" source="../media/look-for-ai-systems-robust-feedback-mechanisms.png":::
 
-Having grasped the principle of reliability and safety, you are now ready to explore the next principles: privacy and security. These principles are not merely supplementary; they are foundational to the integrity of a robust AI framework. In the next unit, you'll examine the mechanisms that safeguard sensitive information and protect against unauthorized access. This transition underscores the importance of a holistic approach to AI ethics, where protecting individual rights and maintaining public trust are paramount. By ensuring that AI systems are not only fair and reliable but also private and secure, we can foster an environment of confidence and dependability in the technology that shapes our future.
+Having grasped the principle of reliability and safety, you're now ready to explore the next principles: privacy and security. These principles aren't merely supplementary; they're foundational to the integrity of a robust AI framework. In the next unit, you'll examine the mechanisms that safeguard sensitive information and protect against unauthorized access. This transition underscores the importance of a holistic approach to AI ethics, where protecting individual rights and maintaining public trust are paramount. By ensuring that AI systems aren't only fair and reliable but also private and secure, we can foster an environment of confidence and dependability in the technology that shapes our future.

learn-pr/philanthropies/apply-responsible-ai-principles/includes/4-examine-the-privacy-and-security-principle.md

@@ -30,8 +30,8 @@ In addition to implementing technical protections, it's imperative to adopt resp
 
 **Address data breaches:** You should implement procedures to responsibly address data breaches through notifications to learners and prepared mitigation plans. Any incidents should be thoroughly analyzed to prevent recurrence and improve the security of AI systems and data. By taking these steps, you can help to ensure the ongoing safety and security of your systems and data.
 
-**Implement security teams:** You should appoint dedicated teams to manage data privacy and security.  Key functions should be centralized to ensure consistency in data privacy and security measures.
+**Implement security teams:** You should appoint dedicated teams to manage data privacy and security. Key functions should be centralized to ensure consistency in data privacy and security measures.
 
 :::image type="icon" source="../media/implement-security-teams.png":::
 
-Having established a foundation in privacy and security, you are now prepared to learn the principle of inclusiveness. In the next unit, you will navigate the necessity for AI systems to be fair and accessible, while also being attuned to the vast array of human experiences. It's about guaranteeing that AI is accessible to all, irrespective of their background or capabilities. This enables every individual to leverage AI to enhance their personal and communal well-being. By confirming that AI systems are not only just and reliable but also inclusive, we nurture a climate of trust and reliability in AI systems.
+Having established a foundation in privacy and security, you're now prepared to learn the principle of inclusiveness. In the next unit, you'll navigate the necessity for AI systems to be fair and accessible, while also being attuned to the vast array of human experiences. It's about guaranteeing that AI is accessible to all, irrespective of their background or capabilities. This enables every individual to leverage AI to enhance their personal and communal well-being. By confirming that AI systems aren't only just and reliable but also inclusive, we nurture a climate of trust and reliability in AI systems.

learn-pr/philanthropies/apply-responsible-ai-principles/includes/7-implement-the-accountability-principle.md

@@ -10,7 +10,7 @@ The Accountability principle states that AI systems and the AI developers should
 
 ## Purpose of ensuring the accountability of AI systems
 
-Accountability is a vital principle in the advancement of responsible AI.  It serves several important purposes, including:
+Accountability is a vital principle in the advancement of responsible AI. It serves several important purposes, including:
 
 - **Transparency:** Accountability supports explainability by requiring that developers inspect and understand their systems' decision-making processes. This sheds light on how AI systems determine outputs and recommendations.
 
@@ -24,7 +24,7 @@ Accountability is a vital principle in the advancement of responsible AI.  It se
 
 ## Setting up accountable AI systems
 
-By ensuring that you are accountable for the AI systems you use, you can help promote trust, transparency, fairness, reliability & safety, and responsibility in using AI. As the person who implements an AI system, you are accountable for how the system operates. You should draw upon industry standards to develop accountability standards. These standards can ensure that AI systems are not the final authority on any decision that impacts people's lives. They also ensure that you have meaningful control over otherwise highly autonomous AI systems.
+By ensuring that you're accountable for the AI systems you use, you can help promote trust, transparency, fairness, reliability & safety, and responsibility in using AI. As the person who implements an AI system, you're accountable for how the system operates. You should draw upon industry standards to develop accountability standards. These standards can ensure that AI systems aren't the final authority on any decision that impacts people's lives. They also ensure that you have meaningful control over otherwise highly autonomous AI systems.
 
 To ensure accountability in your AI system, you should:
 
@@ -36,4 +36,4 @@ To ensure accountability in your AI system, you should:
 
 - Put in place a clear system of governance to conduct remediation or correction activities if AI models start operating in an unfair or potentially harmful manner.
 
-The accountability principle in AI helps ensure that AI systems are developed and managed responsibly. It involves continuous monitoring, human oversight, auditability, and control measures to maintain transparency, fairness, reliability, safety, and trust. By setting up accountable AI systems, developers and managers can foster public confidence, mitigate risks, and improve system performance, ultimately leading to more ethical and effective AI solutions. Remember, accountability is not just a guideline but a commitment to responsible AI implementation and governance.
+The accountability principle in AI helps ensure that AI systems are developed and managed responsibly. It involves continuous monitoring, human oversight, auditability, and control measures to maintain transparency, fairness, reliability, safety, and trust. By setting up accountable AI systems, developers and managers can foster public confidence, mitigate risks, and improve system performance, ultimately leading to more ethical and effective AI solutions. Remember, accountability isn't just a guideline but a commitment to responsible AI implementation and governance.