- cross-posted to:
- globalnews@lemmy.zip
- cross-posted to:
- globalnews@lemmy.zip
cross-posted from: https://lemmy.zip/post/1476431
Archived version: https://archive.ph/uwzMv
Archived version: https://web.archive.org/web/20230815095015/https://www.euronews.com/next/2023/08/14/how-ai-is-filtering-millions-of-qualified-candidates-out-of-the-workforce
This is the best summary I could come up with:
According to Manjari Raman - one of the researchers behind that study and the Senior Program Director Managing for the Future of Work Project at Harvard Business School - companies turn to these automated systems because they are sometimes flooded with applications.
The AI was trained on the company’s previous hiring track record, and since men dominate the tech industry, it decided that male candidates were preferable to female ones.
That same year, auditors of another screening tool found that the software ranked people with the name Jared and a history of playing lacrosse in high school more favourably than other applicants.
But they were ranked as a low candidate because the job asked for international experience, and the ATS screener thought the journalist didn’t meet this requirement despite them previously having worked in five different countries.
European Union officials are working on groundbreaking rules to regulate AI that could become the de facto standard for global countries because of the size of the 27 nation bloc and its market.
China is also drafting regulations requiring security assessments for any products using AI, while the UK’s competition watchdog has opened a review of the market.
I’m a bot and I’m open source!