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How AI Is Changing the Way Government IT Leaders Hire

Washington Chief Information Officer Bill Kehoe details how artificial intelligence has changed the hiring process for technology roles.

Washington CIO Bill Kehoe
Government Technology/David Kidd
More resumes, more problems? Hiring managers everywhere are being overwhelmed by historic numbers of applicants for open positions. One driver is broad use of AI tools, helping job seekers craft resumes and cover letters tailor-made to the opportunity at hand. The challenge can be particularly acute for highly specialized roles, like those, for example, in government IT.

At last month’s NASCIO Midyear conference, we talked with Washington CIO Bill Kehoe on the impact of artificial intelligence on the hiring process at Washington Technology Solutions. Not only is the agency receiving more applications for open positions, they’re having to adapt how they screen applicants to ensure they actually have the knowledge and skills required for the job. Interview questions should be more “scenario based,” Kehoe said, noting that having prospective candidates give a presentation in person can be a better way to evaluate their skills than virtual-only processes.



Video transcript:
I think what we're seeing is that we're getting a lot of really well-written cover letters and resumes. And sometimes they're not complete. You can tell that they're being developed by AI. So we have to be a little more diligent in our screening because everything is so well-written and all the resumes just look spot on. I don't know that that's a problem, it's just changed the way we look at how we're screening candidates. And we're much more into personal interaction to the point of let's maybe have some more in-person interviews when we get down to selecting the candidates so that we can really make sure that the candidate has the knowledge, has the skills, and isn't using AI to answer interview questions for instance, right? I also think we need to be really diligent in the questions that we ask. So I like more scenario-based questions that are more difficult to turn to ChatGPT in an interview, as an example, to answer. They're really based on scenarios in your past and that you have to recall. And also, you know, sample coming in and doing a presentation, right? In person. Putting a presentation together and delivering that in an interview. So I think we'll see more of that. And so the screening is a little more difficult. We're getting a lot more candidates. But I think we're making some good adjustments to make sure we still get the best candidate.
Noelle Knell is the executive editor for e.Republic, responsible for setting the overall direction for e.Republic’s editorial platforms, including Government Technology, Governing, Industry Insider, Emergency Management and the Center for Digital Education. She has been with e.Republic since 2011, and has decades of writing, editing and leadership experience. A California native, Noelle has worked in both state and local government, and is a graduate of the University of California, Davis, with majors in political science and American history.
Lauren Kinkade is the managing editor for Government Technology magazine. She has a degree in English from the University of California, Berkeley, and more than 15 years’ experience in book and magazine publishing.