Ethics is all about fairness.
However, many issues plague the development of a global AI code of ethics, including the lack of a universally accepted definition of
fairness (e.g., American and Chinese laws differ greatly, and something
judged as fair in the USA may be absolutely unfair in China). Another issue is the rapid advancement of technology
(in which AI dominates today). These advancements leave standards-building organizations like ISO, IEEE, and NIST struggling to keep pace.
Yet, we cannot live without ethically compliant systems, even though we are unable to define a perfect code of ethics.
In the midst of these unfavorable/imperfect circumstances, this book gives valuable, practical guidance for building ethically compliant AI systems, particularly in the USA.
View the review now?
Yet, we cannot live without ethically compliant systems, even though we are unable to define a perfect code of ethics.
In the midst of these unfavorable/imperfect circumstances, this book gives valuable, practical guidance for building ethically compliant AI systems, particularly in the USA.
View the review now?
