University advocacy to put ethical issues at the heart of the design of AI systems, rather than treating them as a last minute addition.
This essay published by the University of Virginia argues that ethics can no longer be treated as a secondary reflection in the development of artificial intelligence, but must become a design principle in its own right from the early stages of a project. Adding ethical safeguards after the fact would, according to the author, be slower, more expensive and ultimately less effective than integrating them by design.
The text points to several areas of tension that are already well documented — biases inherited from training data, opacity of deep models, risk of credible disinformation — and calls for a structural response rather than one-off corrections, as the regulatory framework tightens on both sides of the Atlantic.
Read the full article on the original source
Go to the source →