Amid controversy and emerging regulations around AI for talent management, Beamery emphasizes explainability
...What Beamery has developed is a much more nuanced approach that makes use of graph data models and AI to create contextual understanding. For example, he noted that it’s important to understand what a company does and what job titles mean inside of a specific company.
By having a contextual understanding, S. Saidov said that it’s also possible to better identify potential candidates that might otherwise not be found.
“We identify the types of people that are going to be easily trained or are trainable, even if that skill set doesn’t exist today,” he said. ...
“We never say ‘hire this person,’” S. Saidov said. “Everything that we do is about providing explainability. For example, here are career paths you could have or, even if you’re a recruiter, showing parameters that you could consider to help you evaluate people.”
See the full story here: https://venturebeat.com/ai/amid-controversy-and-emerging-regulations-around-ai-for-talent-management-beamery-emphasizes-explainability/
