Responsible AI
Fairness, safety, privacy and the law: building AI people can trust.
Beginner
Start here. No background needed beyond school maths.
Ethics of AI
University of Helsinki's free online course on the ethical questions AI raises: fairness, transparency, accountability and privacy.
University of Helsinki
Introduction to Responsible AI
Google Cloud's short course on what responsible AI means and how Google applies its AI principles.
Google Cloud Skills Boost
Kaggle Learn: Intro to AI Ethics
Practical lessons on human-centred design, identifying bias, fairness metrics and model cards.
Kaggle
People + AI Guidebook
Google PAIR's guide to designing AI products people can trust, with patterns for explanations, feedback and errors.
Google PAIR
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