AI ruling on jobless claims could make mistakes courts can't undo, experts warn
arstechnica.com
arstechnica.com
Also, it's ironic that this unemployment claim-processing AI is being used by the state to avoid improving pay or working conditions to hire new workers:
> Nevada...has a backlog of more than 40,000 appeals stemming from a pandemic-related spike in unemployment claims while dealing with "unforeseen staffing shortages" that DETR reported in July.
If anything, it reinforces my impression that AI’s true application is allowing institutions to kick the can down the road further, just with a novel excuse.
Isn’t the root problem here municipal debt, and/or societal debt?
Imagine there's some kind of problem. Say, an enterprising journalist shows that the system has somehow broken; 1/3 of its decisions are essentially random, rendering thousands of deserving workers homeless. What does Nevada do? Everyone who knew how to do reviews manually has gone on to other work or retirement.
That institutional knowledge isn't coming back. Before you can turn the AI off, you need to build a whole new human-driven review process from whatever legible information you have archived somewhere.
For a single process which is catastrophic only for improperly rejected individuals, this process is expensive but doable. But unemployment review is not the end; AI is not going to stop at doing the vast majority of the decision-making for only one single, non-vital process. Add in a few more--say, 911 dispatching, payroll processing, a few utilities--and putting them back under the control of competent humans will quickly grow beyond the capacity of a the state.
> You should have access to timely human consideration and remedy by a fallback and escalation process if an automated system fails, it produces an error, or you would like to appeal or contest its impacts on you. Human consideration and fallback should be accessible, equitable, effective, maintained, accompanied by appropriate operator training, and should not impose an unreasonable burden on the public. Automated systems with an intended use within sensitive domains, including, but not limited to, criminal justice, employment, education, and health, should additionally be tailored to the purpose, provide meaningful access for oversight, include training for any people interacting with the system, and incorporate human consideration for adverse or high-risk decisions.
That was honestly my favorite part of the whole thing, and I kind of wish that was talked about more and had its chance to make it into the zeitgeist, but then I'm not surprised that it didn't. Since it feels like we may be going in the opposite direction, and now that the shine of AI is fading a bit, maybe now is another good time to bring it up.
Convince me and your superiors that this jobless claim is top notch.
https://constelisvoss.com/pages/a-computer-can-never-be-held...
Didn’t we see a post on HN this week that people put immense trust blindly on the output of AI?
Also is this review guaranteed or will it suddenly phase out soon because “shortage of workers…”?
The fact that a government is fully fine with uploading important data to a third party cloud model is already giving me shivers.
Honestly, I am losing hope, while I try to cut out these overlords(M$ Goog Meta Byte Dance et al.) from my life but then governments are happy to handover my data anyways. Of course am in EU and we have GDPR and other cool things but unbeknownst to many, my state already feeds my data to local overlords which is both sad and revealing to me. May be time to come to peace with the fact that privacy is the anti-matter of progress in this FOMO era of AI.
There's so much wrong here, I don't know where to begin.
I guess they have a staffing shortage and can't find people to work because there are a lot of people looking for work? (/s)