Using AI to Revolutionize Hiring for Top Talent

BY Jennifer Yoshikoshi | December 11, 2024

With the help of artificial intelligence, a task that would take hours, days, or even weeks to complete can now be done in five minutes, says Mike Aronson, senior director of talent acquisition at Johnson Controls.

In talent acquisition, AI has been a useful tool in generating job descriptions, screening applicants, and sourcing candidates. During a panel at From Day One’s November virtual conference, executives touched on how AI has revolutionized hiring the best candidates and streamlined productivity.

Balancing AI and Human Operations

Lesli Stasiek, senior director of human resources at Cencora says that they maintain the “human touch” through the hiring process by still interacting through recruiters and hiring managers, while also using Phenom AI as a way to drive efficiency in filtering through applications on a daily basis. “We don’t have enough recruiters to go through everything, so we’re leveraging the AI at the top of the funnel,” said Stasiek.

Cencora is still at the start of its journey with utilizing AI but Stasiek shares that she hopes it can be leveraged “internally to empower employees and give them the resources to build their careers and drive better discussions.”

AI is being implemented into talent acquisition to quickly check off tedious tasks that may be taking up time that can be investing towards more productivity. When it comes to creating job postings, AI is also used to source the best candidates through algorithms within job boards. During the hiring process, AI minimizes the time recruiters spend on summarizing interview notes and conversations to provide to managers.

“It’s not replacing the person. It’s making the job a bit easier so that they can have a conversation around why [they] think this person’s good,” said Aronson.

Companies who use skills-based hiring processes also benefit from the efficiencies of using AI to filter through applications that match the best skill sets. Angie Lombardo, global director of operations for talent acquisition at Arcadis, says the company’s applicant tracking system has an AI that will help rank the talent pool based on skills.

This tool is helpful in regions like India and the Middle East where they receive thousands of applications within a week of posting a job opportunity, says Lombardo.

Mitigating Bias in AI

AI functions through system memory and if human bias has already been incorporated, machines will learn to replicate the same bias. Jenny Cotie Kangas, director of talent-centered transformation at Eightfold, says that it’s important to understand how you’re using the AI, how it’s coded, and the necessary guardrails to prevent wrong decision making.

“When we’re talking about job descriptions and leveraging [generative] AI for job descriptions, it’s always important to run that through some sort of anti-bias tool,” said Kangas. “We want to kind of reset and recalibrate and make sure that we’re creating job descriptions that are truly inclusive.”

AI is useful in eliminating the natural human bias such as what Kangas describes as the decisions she’ll make when she’s really hungry and when she’s not. Generative AI tends to be more male leaning, she added. The system may also be seeking “charged words” to identify patterns from the past in order to predict next steps. Kangas adds that even when companies use tools like AI, it’s always important to layer other tools on top to make sure all pieces are being covered.

Utilizing AI for Internal Growth

AI’s efficiency not only helps with sourcing applicants but it can also help identify current employees who are ready for development and growth as future leaders. Especially in organizations with thousands of employees, it’s almost impossible for managers to know every employee well enough to identify possible candidates.

Lydia Dishman of Fast Company moderated the discussion among industry experts (photo by From Day One)

“Tools like this allow us to look at not just career pathing within a function, but across multiple functions or business units,” said Stasiek. “You drive that connectivity and you drive that networking and then you can grow your pipeline and your succession planning exponentially.” Investing in the career development of current employees also increases engagement and retention.

Tracking the Applicant Experience

The digital platform of AI, allows everything to be tracked and digitized for future data analysis. For example, hiring managers can see what questions candidates are asking a website’s embedded chatbot and understand what they are looking for and what problems need to be solved, says Aronson.

The reason why websites like Amazon are visited so regularly is because it’s easy to use. Company pages should be emulating this simplicity to improve the candidate experience during application processes, he added.

Especially with the culture of recruiters “ghosting,” improving the candidate experience is also a key aspect to attracting the best candidates, said Kristen Baller, head of talent acquisition at DISH Network. By using AI to cut down tedious tasks, recruiters have more time to focus on “engaging and partnering with the candidate throughout their journey,” she said.

The Challenges of AI

AI is a powerful tool within the corporate space and it’s now being used by more companies, but what challenges can rise with increased use?

“I think education is what we’re going to have to really think about,” said Baller. “We’re giving all these teams a Ferrari but nobody’s taught them how to drive it.” Stasiek emphasized that education is important to create awareness, but change management is where leaders can really see the impact of implementing a new system.

As we remember that AI is a machine, Lombardo points out that “the more that we use AI, we do have to be careful that we’re not just using AI to do our work, but we are putting that human touch on it before we put anything out to be viewed.”

Jennifer Yoshikoshi is a local news and education reporter based in the San Francisco Bay Area.


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Matthew Koehler | November 20, 2024

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That’s important to do if you’re going to have a mixture of on-site and off-site employees, so that everybody feels that they have the same seat at the table.”Sponsorship and mentorship can also help level the playing field within a distributed workforce. “Sponsorship is taking somebody’s career under your wing, having the conversations about them in rooms where they aren’t and don’t have access to,” Bhansali explained, proud of their practices at Henry Schein.Mentorship can be especially helpful for the youngest members of the workforce, many of whom started their careers during Covid lockdowns and have little exposure to office environments. The Washington Post reported in October that office etiquette classes are increasingly popular.“How do early career team members really get some of the unwritten rules of the workplace?” Henderson asked. The company set expectations for both technical and soft skills all workers need, then encouraged both sponsorship and mentorship to reinforce those skills and behaviors. Early career development is not the task it used to be, she says. “I think the mistake people make is they just try to use what worked and keep going, and that is not functional today.”At Eightgold, Watson helps workers create a path between where they are and where they want to be, and the appetite is there. “That’s where our business is really booming with these large organizations–just getting a grip on what skills they have, and not just skills, but what skills adjacencies they have.”“Expectations are different than they’ve been in the past,” Bhansali said. “And that’s not just about the hybrid workforce. That’s about a generational change in the workforce.” New workers expect skill development and a chance to exercise those skills, and leaders expect support. “Those layer onto the hybrid conversation in ways that folks don’t realize, but we have to put all these things together.”Emily McCrary-Ruiz-Esparza is a freelance journalist and From Day One contributing editor who writes about work, the job market, and women’s experiences in the workplace. Her work has appeared in the Economist, the BBC, The Washington Post, Quartz, Business Insider, Fast Company, and Digiday’s Worklife.

Emily McCrary-Ruiz-Esparza | November 14, 2024