Building Responsible AI Algorithms: A Framework for Transparency, Fairness, Safety, Privacy, and Robustness

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023

T. DukeBuilding Responsible AI Algorithmshttps://doi.org/10.1007/978-1-4842-9306-5_8

8. Privacy

Toju Duke¹  

(1)

London, UK

 

It’s crucial to note that each responsible AI dimension mentioned in this book is not more important than the others. While explainability, discussed in the previous chapter, is highly important in building trust in AI, so is privacy (and all the other dimensions discussed in previous chapters). This chapter takes a closer look at privacy and how it contributes to building a responsible AI framework.

Privacy is another very important part of responsible AI and it’s the responsibility of developers, engineers, research scientists, and ...