i'm i'm really hopeful because the algorithms are well sometimes they're hard for people to understand they're transparent right you can run in a biased data set or an unbiased data set with different kinds of bias to find your flavor and you can see exactly what happens and that is really helpful right whereas with a person or some other systems you know you all bets are off right whether they're acting in a biased way or not so it's uh it's testable in some cases it's very transparent and there's a whole lot of work in ai right
now going on toward explainability and transparency and and i think with so many sharp people jumping on it i'm very hopeful that the ai will be less biased in the kinds of ways we don't want to see although on that caveat i want to just say it's all biased right there's always some kind of bias built in the harder question i think are the ones john may be addressing which is what what are the what are the outcomes we want what are the uh what are the optimality criteria that we are optimizing these for we
can optimize for all kinds of things but what should we be optimizing for
