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MSH Trains AI-Powered Model to Help Companies Streamline Search for High-Quality Candidates

HR Tech Outlook | Friday, June 02, 2023

FORT LAUDERDALE - MSH, a global provider of disruptive technology, talent, and SaaS solutions, today announced it has trained an AI-powered model to help hiring managers write job descriptions with more accuracy and efficiency.

During the research preview, usage of the Aeon job-description generator is free. Try it now at https://www.aeonhire.com/tools/generator/job-description.

The model writes descriptions across 17 different industries, including information technology, software, healthcare, finance and education. It is built by MSH computer scientists with input from the company’s talent team to incorporate parameters that help hiring managers write job descriptions geared toward the best candidates.

“The job description is one of the most misused tools we use in hiring and is ripe for improvement. Instead of repurposing someone else’s work and creating a generic skills description, it should be utilized as a marketing tool that excites potential candidates, gives a realistic job preview, and even positively influence retention rates and the overall culture of an organization,” said Oz Rashid, CEO and founder of MSH. “We are pouring decades of recruiting experience into developing AI-powered solutions that help companies optimize hiring. The job description generator is the tip of the iceberg of a much larger solution we are developing.”

The preview of MSH’s job generator arrives at a time when nearly half of Americans think AI would do better than humans at evaluating job applicants, according to a recent survey by Pew Research Center. At the same time, the survey found that a significant number of Americans oppose AI use in making final hiring and firing decisions.

“AI is an excellent tool for humans, not a replacement,” Oz said. “We must adhere to the highest ethical standards possible when using AI to ensure we aren’t perpetuating the biases that contribute to unfair hiring practices.

“Knowing the people who create an AI platform and understanding its ingredients are more important than the practical application of the solution itself,” Oz added.