Document and Evaluate AI Ethics

Document and Evaluate AI Ethics is an intermediate course that equips engineers, auditors, and AI practitioners with the concrete skills to move from ethical principles to engineering practice. You will learn to create comprehensive model cards that document a system's intended use, dataset origins, performance metrics, and limitations, ensuring every stakeholder understands what the system does and where it might fail. Next, you will master the process of conducting systematic ethics audits, using established frameworks to evaluate AI systems for bias, assess compliance, and propose actionable mitigation strategies. Through hands-on labs and analyses of real-world case studies—from the failure of Microsoft’s Tay to the internal audits at AstraZeneca—you will leave with the ability to produce professional audit reports and documentation that build trust and ensure your AI systems are deployed responsibly

• Create detailed documentation covering AI system use and limitations
• Conduct systematic ethical audits of AI systems
• Assess bias and compliance in AI projects
• Propose and apply mitigation strategies for ethical risks
• Produce professional audit reports enhancing transparency

• Basic familiarity with the topic and terminology
• Willingness to engage in applied exercises and case studies