I keep seeing "AI ethics" being redefined to focus on fictional problems instead of real-world ones, so I wrote a little post on it.
>People are far more concerned with the real-world implications of ethics: governance structures, accountability, how their data is used, jobs being lost, etc. In other words, they’re not so worried about whether their models will swear or philosophically handle the trolley problem so much as, you know, reality. What happens with the humans running the models? Their influx of power and resources? How will they hurt or harm society?
This is just not my experience at all. People do worry about how models act because they infer that eventually they will be used as source of truth and because they already get used as source of action. People worry about racial makeup in certain historical contexts[1], people worry when Grok starts spouting Nazi stuff (hopefuly I don't need a citation for that one) because they take it as a sign of bias in a system with real world impact, that if ChatGPT happens to doubt the holocaust tomorrow, when little Jimmy asks it for help in an essay he will find a whole lot of white supremacist propaganda. I don't think any of this is fictional.
I find the same issue with the privacy section. Yes concerns about privacy are primarily about sharing that data, precisely because controlling how that data is shared is a first, necessary step towards being able to control what is done with the data. In a world in which my data is taken and shared freely I don't have any control on what is done with that data because I have no control on who has it in the first place.
[1] https://www.theguardian.com/technology/2024/mar/08/we-defini...