[rspeer]

What do you think of Bolukbasi's approach that's mentioned in the article? In short, you let a system learn the "current state of the world" (as reflected by your corpus), then put it through an algebraic transformation that subtracts known biases.

Do you consider that algebraic transformation enough of a "morality system"?

I hope you're not saying we shouldn't work on this problem until we have AGI that has an actual representation of "morality", because that would be a setback of decades at least.

[scribu]

> put it through an algebraic transformation that subtracts known biases

> Do you consider that algebraic transformation enough of a "morality system"?

I would consider it a sort of morality, yes. But keep in mind that the list of "known biases" would itself be biased toward a particular goal, be it political correctness or something else.

[rspeer]

Yes, every step of machine learning has potential bias, we know that, that's what this whole discussion is about. Nobody would responsibly claim that they have solved bias. But they should be able to do something about it without their progress being denied by facile moral relativism.

If we can't agree that one can improve a system that automatically thinks "terrorist" when it sees the word "Arab" by making it not do that, we don't have much to talk about.