In five years, I'd love to read a book about the history of AI ethics. I suspect it will read like Voltaire. My sense is that it is radically shifting from a fluffy marketing arm to a department expected to contribute meaningfully to development and justify its impact. I would expect an ethics team to build frameworks that can help train/eval the model that the company spend millions of dollars and months training is…
What does AI ethics even mean? They can't fully control the model, it does stuff even with instructions not to. And sometimes it's clear safety mechanisms overcorrect and make the model useless in some situations. I tried asking Claude about some scenario's for a security hole we fixed to see how it would respond, it refused to talk to me seemingly assuming I was trying to introduce a hole that was now fixed. It just…
It's a broad statement and can mean different things depending where you are in that chain.
You have design and compliance. Compliance is what you are allowed to do (laws). Design is how you construct your applications to understand how it will impact the people directly or indirectly.
Then you have the accountability, transparency, auditing and reproducing. Understanding why the model worked the way it did. Models can go wrong, but if you have the details of how it went wrong and who is at fault, it can protect people who use it.
Then there is alignment, which is a higher longer goal.
Your comment about security questions is a matter of ethics as well.
If you say apply it to medical, is it ethical to allow a model to give medical advice, knowing that it can be wrong. Most people would say no, but by doing so you are denying people who can't afford medical advice, so there has to be a balance. Most companies err on the side of not getting sued.