So far this year, more than 3,000 people have applied for open data science jobs at U.S. health tech companies. Top candidates are given a lengthy and difficult assessment, but only a few pass, said a recruiter at the company who requested anonymity because he is not authorized to speak publicly. That's what it means.
Recruiters say they believe some of the successful candidates may have used artificial intelligence to solve problems. Recruiters said some of the employees used strange language, some used AI to expose them, and in some cases, they were unable to answer work-related questions when they moved on to the next interview. . “Not only did they waste their time, they also wasted my time,” the recruiter says. “It's really frustrating.”
Nowadays, it is not uncommon for technical positions to attract hundreds or even thousands of applicants. A wave of layoffs starting in late 2022 has left many skilled technology workers looking for work, and the widespread adoption of generative AI has revolutionized the hiring process, allowing talent to apply for jobs in bulk. All people who are passionate about their work have run into the wall of overwhelmed recruiters and recruiters.
WIRED spoke with seven recruiters and recruiters from the technology and other industries who expressed concerns about new technology. For now, there are still many unknowns about how and why AI makes the choices it makes, and AI has a history of making biased decisions. They want to understand why the AI is making the decisions it does and give it more room for nuance before adopting it. Not every qualified applicant will be a perfect fit for the role, one recruiter tells WIRED.
Recruiters say they receive a large volume of resumes through tools like LinkedIn's Easy Apply feature. This feature allows you to quickly apply for jobs within the site's platform. Additionally, there are third-party tools for writing resumes and cover letters, with tools from sites like LinkedIn and Indeed that incorporate generative AI, one for job seekers and one for recruiters. These include a growing number of tools that automate the hiring process, leaving some employees wondering if people or bots are looking at their resumes.
“For job seekers and recruiters, AI is a bit of a black box,” says Hilke Schellmann. algorithm Focus on software that automates resume screening and human resources. “What exactly makes people recommend people to recruiters? We don’t know.”
Still, generative AI tools are becoming more commonplace for both recruiters and job seekers. Earlier this year, LinkedIn announced a new AI chatbot aimed at helping people search for jobs. The hope was that if we peel back the curtain that separates job seekers from the hiring process, and if we can better fit in with the job or tailor our resumes to the job, people will see us better.
This comes after LinkedIn began rolling out a new generative AI toolset for recruiters to source candidates in October. Our talent sourcing tools allow recruiters to search for a phrase like “We're looking to hire an engineer in Texas” and find out how likely they are to meet that criteria, as well as any other specific skills that might be relevant to the role. The profile of the person will be displayed. You can also send generated AI-written messages and set automatic follow-up her messages. According to LinkedIn data, AI-generated messages are accepted approximately 40% more often than her one-time messages created solely by recruiters.
