Compliance & Ethics
Understanding Responsible AI & Ethical Principles
Students learn the basics of fairness, transparency, accountability, and human oversight for example, how an AI hiring tool should be monitored so it doesn’t unintentionally favor certain candidates over others.
Recognizing Bias, Errors & Limitations in AI Systems
Learn how AI can make mistakes or reflect biased data for instance, a facial recognition system performing better on some groups than others, highlighting why testing and correction are essential.
Building Trust Through Human Oversight & Compliance
See how organizations put checks in place — like having employees review AI-generated decisions before acting on them, similar to a manager approving automated recommendations before they’re sent to customers.
Data Privacy, Security & Proper Use of Information
Explore how AI systems handle data and why protecting personal information matters such as a company using AI to analyze customer emails while ensuring sensitive details are not stored or shared improperly.
