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And the times when we find ourselves wanting to quantify and measure them in order to make decisions that impact people’s lives them are precisely when we need
by baddox 6y ago
And the times when we find ourselves wanting to quantify and measure them in order to make decisions that impact people’s lives them are precisely when we need to be extremely careful, because they are subjective traits.
- darawk 6y agoOf course we should be careful. But we should also keep in mind what the baseline is. The baseline is subjective evaluations by other humans. If we don't build models, it's not like we're going to live in a world where nobody's subjective personality traits are evaluated. They still will be. They'll just be evaluated by other humans in an opaque, un-monitorable way. Using models at least makes it transparent, and something that we can iterate on to remove bias. There are no effective ways i'm aware of to de-bias humans.
- baddox 6y agoIf the human baseline is bad, that doesn't imply that it's better to use computers to do the same task much faster while obfuscating accountability.
- darawk 6y agoYou have it exactly backwards though. Its humans that obstruct accountability, because they are opaque and inconsistent. ML is consistent and inspectable. It cannot lie to you about its motivations. It is infinitely more accountable than any human system ever will be.