Responsible AI
Fairness, safety, privacy and the law: building AI people can trust.
Advanced
Once the basics are comfortable.
Fairness and Machine Learning: Limitations and Opportunities
A free textbook on the ideas and limits of fairness in automated decision-making.
Barocas, Hardt and Narayanan
Interpretable Machine Learning
A free book on making black-box models explainable: interpretable models, feature importance, SHAP and more.
Christoph Molnar
NIST AI Risk Management Framework
The US standards body's voluntary framework for identifying and managing risks across the AI lifecycle.
NIST
Red Teaming LLM Applications
Find weaknesses in LLM applications before attackers do: prompt injection, data leaks and harmful outputs.
DeepLearning.AI and Giskard

