Colorado has a first-in-the-nation law for AI – but what will it do?
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In all cases the bias originates from human behaviour. The one advantage of AI being used is that now that bias is surfaced. But it's always been there, which is why the machine learning algorithms learn it. It's just that no one typically looks at the data in aggregate prior to AI.
In any case, these rules should not be scoped to AI in my opinion. They should include algorithms and also require bias testing for teams of humans making decisions. If anything, I'd trust an AI system that has been analyzed for bias over a human making a decision.]
I think that's an odd way to look at it. The bias originates from the training data, which was what - idle conversations on Reddit and other similar content pilfered on the internet? The bias is doing some harm in places like that, but we're now using that to make real decisions. That's... worse.
While HN is obsessed with LLMs, AI regulation targets more than just those systems. And yes, AI and machine learning were pervasive and used in a variety of useful settings long before these toy chat systems came about.
Insurance and lending companies already have complex algorithms and formula they use to determine risk scores. Adding components of these systems that are learned from data shouldn't change the overall oversight mechanisms required of them in my opinion.
[1] https://www.technologyreview.com/2019/01/21/137783/algorithm...
The kinds of "AI" you're describing have been with us for decades, but LLMs and their ilk are a more consequential development. And if we're passing laws today, that's what they will be regulating for the most part.
Most of these regulations can replace "AI" with "technology, mathematical model, or human processes" and they will be 1000x better laws.
It is and there are, but rule-based systems and humans have traditionally been more limited.
You'd better bet that health insurers continually get audited in terms of claim pay rates and correctness.
The major difference is that AI systems can be pre-audited at minimal cost. In contrast, human auditing traditionally consumes billable processing time and so is done post-hoc on production results.
Honestly, I'm excited about these types of regulations. I think systems with more transparency, testability, and accountability are going to be better for society as a whole.
If it took "cost savings" + "scary AI" to get us there (digitization/automation and proactive outcome auditing respectively), that is what it is.
Certainly it's a very different approach from people trying to mandate that AIs must be designed in ways so that they can't be used for bad stuff (which to me feels like a fundamentally broken approach).
This is a bit like trying to regulate horseshoes while everyone else is talking about speed limits & seat belts. Both parties say the word "carriage" and "passenger", but they have completely different ideas in their heads about what is about to happen.
The problem with AI is that we know these models are flawed but they are being implemented anyway in an effort to save money.
If you have to manually review all AI results, the cost savings start to evaporate. Particularly if it leads to lawsuits.
Imagine trying to explain in court how/why AI decided to fire someone.
The real culprit here is greed.
Right now the law just asks for disclosure and sets up a human appeal process for AI based decisions.
Plus, in reality, banks really do not "need" tellers since most people get direct deposit, use debit/credit cards and phones for transactions. So large banks could leave too. I remember reading somewhere banks do not really like saving accounts since most people keep a small balance in them.
With that said, I wish the laws Colorado has for AI and salaries could be nation wide.
Reducing your applicant pool in a state you don’t operate in because you can’t be bothered to disclose salary is one thing. Closing down branches, losing customers and firing hundreds or thousands of employees in a move that reduces your bottom line is a whole other thing.
Employers just ignore it for remote work, or put a really big range. Big ranges are still useful since it’s always enough to make a decision on whether to apply or not.
I haven't seen this in a while, though.
https://www.npr.org/2024/03/22/1240114159/tennessee-protect-...