Weapons of Math Destruction: A must-read book discussion on how algorithms are a weapon of math destruction, and when used unchecked, will undoubtedly reinforce inequality.
Artificial Unintelligence: It opens up the world of AI by discussing its limits and emphasizing that, in many cases, human judgment is irreplaceable.
Ethics of Artificial Intelligence: An academic book not meant for the general public, but quite accessible to readers interested in the moral implications of AI.
The Ethical Algorithm: It shows how data scientists are helping design algorithms that are fairer and more transparent.
Human Compatible: Russell argues that AI must be designed to be compatible with human values.
You Look Like a Thing and I Love You: A humorous approach to AI's oddities and highlighting ethical voids in machine learning
The Alignment Problem: One of the largest issues the field of AI faces is aligning machine goals with human ethics.
Superintelligence: A classic on the potential risks of AI for the future, including why it is necessary to keep ethical control
Why these Books Matter: These books help guide how to innovate while maintaining a semblance of accountability, considering how we shape AI for people.