From understanding why AI ethics matter through bias, privacy, and transparency to building sustainable responsible AI practices. A practical program for navigating the ethical and governance dimensions of AI.
Six progressive modules. Start with the foundations of AI governance, finish with practices for everyday responsible AI use.
4 topics across 4 modules · ~60 min · Free
How AI governance shifted from philosophical discussion to legal obligation, what the regulatory landscape requires, and why every AI user has a role in responsible AI.
How to identify AI risk categories, assess risk in your own use cases, know when AI should not be used, document decisions, and escalate concerns effectively.
How bias enters AI systems, how to recognize it in AI output, what fairness means in AI-assisted decisions, and what practitioners should do when they find bias.
Why transparency in AI use matters, what disclosure is required, how to make AI decisions explainable, and the documentation and oversight practices that demonstrate responsible governance.