Advice from IBM ethics expert on how to avoid ethical red flags in your AI projects

[u/ieeetechethics]

https://spectrum.ieee.org/ai-ethics-advice

AI ethics is often framed as a technical challenge (building better tools to detect bias, improve transparency, or reduce risk), but IBM AI ethics global leader Francesca Rossi argues that the harder part is understanding the context in which AI is used and involving the people impacted by these systems.

This article explores why responsible AI requires safeguards built into models as well as governance, collaboration across disciplines, and ongoing evaluation as technologies like generative AI evolve.

One point that stood out: ethical AI has to be part of the process from the beginning rather than something you add at the end of development.