4 ms·
Hiring has been beyond broken well before LLMs came around. Most applicants don't even get a response when they apply to a job, especially with large/popular co
by dmezzetti 3y ago
Hiring has been beyond broken well before LLMs came around. Most applicants don't even get a response when they apply to a job, especially with large/popular companies.
I'm more optimistic on this you and think AI can help with the hiring process. There's just too many applicants and good applicants fall through the cracks. This is also not all that new. HR has long had systems to try to bubble up good candidates. This will just make those better.
Currently, the best way to get in with a big tech company is knowing someone and working around the standard hiring process. How is that fair? Or how do we accept that most candidates never get a response? I'd argue there is a lot of room for improvement.
- gmerc 3y agoI think it’s wishful thinking. How do you exactly envision current AI could make the process better? Technology rarely solves problems, at best it replaces them with different problems. You also assume that the ultimate goal of hiring is supposed to be fair - but fair is just one parameter, a ballot would be fair, but it would fail to meet the companies only goal.
- dmezzetti 3y agoLLMs can help with data extraction. Resumes are notoriously tough to parse given the randomness of the formats. It's an unsolved problem. LLMs can also be used to run natural language queries against your candidate database (i.e. RAG). Those are just two, plenty of other things. No one is going to read every incoming resume, ATS systems have been around a long time. I'm sure existing ATS systems have already added the term "AI-powered" to their marketing. While AI is an overused term, there are certainly plenty of use cases to improve existing processes that are already happening.