Copilot Best Practices, Ethics and Regulatory Implications
Key Takeaways
Microsoft Copilot best practices, ethics, and regulatory implications for responsible AI development
Original Description
Equip yourself with the knowledge and tools needed to responsibly leverage Microsoft Copilot while navigating the complex landscape of ethical considerations and regulatory compliance. You’lll gain a comprehensive understanding of key ethical concepts relevant to generative AI, such as transparency, human oversight, accountability, and fairness. The course will delve into real-world scenarios, evaluating the effectiveness of various Copilot prompts and configurations through the lens of ethics and regulation.
After completing this course, you'll be able to:
• Identify key ethical and regulatory concepts related to generative AI, such as transparency, human agency and oversight, accountability, technical robustness and safety, diversity, nondiscrimination and fairness, privacy and data governance, and social and environmental well-being.
• Evaluate the effectiveness of various Copilot prompts and configurations, while considering ethical implications and regulatory compliance in different usage scenarios.
• Develop a comprehensive framework for responsible Copilot use incorporating best practices, ethical considerations, and adherence to relevant regulations.
Required Course Materials: A Copilot license is required to complete this course. If you don’t have a Microsoft 365 Personal or Family license, you can start a free 30-day trial using the link provided in the course.
Watch on External: Coursera ↗
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