AI Ethics and Responsible AI
Fairness, Privacy, Accountability and Safety
About this guide
A concise exam companion for AI ethics and responsible AI. It works through moral foundations, where bias comes from, fairness definitions and the impossibility results, privacy and differential privacy, transparency and explainability, accountability and auditing, and safety. Every chapter ends with a worked example carried through step by step, so you can check the reasoning yourself.
Inside the guide
- Moral foundations
- Where bias comes from
- Fairness definitions and the impossibility results
- Privacy and differential privacy
- Transparency and explainability
- Accountability and auditing
- Safety
Questions students ask
What does AI Ethics and Responsible AI cover?
AI Ethics and Responsible AI covers the core exam topics.
Who is AI Ethics and Responsible AI for?
It is written for university students revising AI ethics, and for lecturers and librarians choosing a clear, exam-focused reading-list text.
What format does it come in?
Kindle ebook and paperback on Amazon.
Can I read part of it for free?
Full Marks Press offers a free sample chapter at fullmarkspress.com/free, and the full guide is free to read with Kindle Unlimited.