308
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 16 Feb 2024
308 points (99.4% liked)
Technology
59710 readers
3611 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
There are two additional issues, related to each other:
Based on that I think that a better approach would be to use the AI model to create a filter, that can be analysed and tweaked by human beings, and then use that filter to select candidates. They won't do this though - because it screws with their "I did nothing!!! the ai did it!!" excuse to be unfair.
But the way that it is now, frankly? Better to ban it.
Damn, that's an angle i hadn't been considering--the "AI did it, not me!" accountability loophole. Air Canada was just attempting to pull that on a customer that was given wrong info by a customer service bot. They only managed to get Air Canada to make good on their offer for bereavement rates when they were taken to court. Thanks AI!
Two categories of issues at play here:
Companies will miss good talent when AI doesn't prioritize the way they would otherwise have wanted, doesn't understand candidate data, or AI hasn't been trained how to prioritize on the areas a candidate has. With how quickly job markets can change it's realistic a piece of software or website could rise in popularity and fall over the period of a few years and it might take that long to update and correctly test the damn AI models to recognize and prioritize. All of this should hurt the company and it's their fault and will helpfully limit incentives to use AI or black box AI at least as was said above.
Accountability - In the US, it's illegal now if you have an employment practice (hiring, promotions, firing, etc.) that while it can't be proven directly or evidence doesn't exist for a specific case to win in court (prima facie) it can be shown on aggregate to have discriminatory outcomes for protected classes(race, sex, ethnicity, religion, etc.). It's often impossible to find a smoking gun of "we don't hire Protected Class X", but if it can be shown that your employment practices lead to a protected class having much worse outcomes in a company or group, something can be shown to have disparate impact which is illegal and must be remedied.
I fully expect many shittily-trained, poorly or not tested "tools" to be sold and implemented by companies who will eventually be sued for disparate impact. There will be a frenzy of related suits between companies and the AI tool companies.
Creative destruction indeed.