Also, how do you define accuracy? How do you measure it? There's probably some literature around this and there's probably not one way but there needs to be some transparency around it.

the lactose intolerance might be contributing to the plumbing issues...

my similar take on GenAI in the regulatory space is that we need to require so many extra checks for bias and accuracy that it will be easier to just not use it

Freshwater Freaks Really Over Greed?
Freshwater Freaks Ragging On Growth?
Freshwater Freaks Recalling Our Grief?

I'm more wanting to have the conversation of what happens when we automate certain decisions that have real world impacts? Engineering has a long history of placing efficiency over equitable public safety, despite what our ethics canons say.

Like it's one thing to talk about the issues with data centers - tends to lead to the same conversations I have with folks about flying. "Don't you think the negative impact of this action is outweighed by your career dedication to the issue?" No, actually.

That should say "more general", not "more specific" 🫠

I totally agree! Maybe these questions haven't even started to get answered yet. I don't even know if they're the right questions!

I've been reading a lot from folks at @dairinstitute.bsky.social but it's all very broad so I want to know what's getting done in the water space. The hype at conferences has been so intense and my head is spinning.

Specifically I'm interested in risks of LLMs in the regulatory workplace, ML surrogates for mechanistic models, ML tools for decision-making for a highly politically contentious resource with a history of exploiting marginalized communities. And better alternatives.

happy reporting season for the previous water year

Similar takeaway from a couple water symposiums I've been to in the last week