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_10

10. AI Ethics

Toju Duke¹  

(1)

London, UK

 

Once your ML models are robust and secure, not to mention all the other important responsible AI dimensions covered in this book, it’s always a good idea to take a step back and use a wider lens to look at the overall challenges facing AI ethics. That way, you can learn how some of them can be averted, mitigated, and reduced. This final chapter looks at various ethical considerations and covers some of the most popular subfields in AI.

In December 2021, the AI industry, particularly the field of responsible AI, went through a major ...