Copilot Best Practices, Ethics and Regulatory Implications

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Copilot Best Practices, Ethics and Regulatory Implications

Coursera · Beginner ·🛡️ AI Safety & Ethics ·3mo ago

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 ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
How Anthropic Could Have Prevented the “Claude Gift Fraud” With Security 101
Learn how Anthropic's security failures led to the Claude gift fraud and how basic security measures could have prevented it
Medium · AI
📰
Using AI makes people less likely to admit they don't know something
AI can make people overconfident in their knowledge, even when they're wrong, which is a crucial consideration for professionals relying on AI tools
The Register
📰
When JPEGs Start Giving Orders: A Journey into Multi-modal Prompt Injection
Learn about multi-modal prompt injection attacks on AI-powered applications and how to identify vulnerabilities in vision-language models
Medium · Cybersecurity
📰
How AI Could Destroy Human Beings: The Real Risks Behind the World's Most Powerful Technology
Learn about the real risks of AI and its potential to harm humanity, and why understanding these risks matters for developing safe and responsible AI systems
Medium · Data Science
Up next
VSL International | Build a stronger safety culture through leadership | Bouygues Construction
Bouygues Construction
Watch →