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Artificial Intelligence for HR – Stela Lupashor

Leo Gretzinger / September 6, 2021
stela-lupashor-artificial-intelligence-for-hr

Intro

The Three A’s of Artificial Intelligence! Recently, Francesco Rulli, CEO of Querlo, talked with Stela Lupashor, CEO and founder of Reframe.Work. They had an interesting conversation about artificial intelligence’s potential in the world of HR and how Lupashor teaches the related subject matter as an adjunct professor at NYU.

As CEO of Reframe.Work, Lupashor leads a company built on the mission of creating a booming HR industry with the assistance of data analytics and artificial intelligence. Lupashor, a consultant at heart, exclaims how she loves alliteration; she has Three A’s that perfectly paint how artificial intelligence has and will change today’s modern workplace, especially through COVID.

The Three A’s

The first A, adoption, refers to how COVID has encouraged companies to move out of past era’s and into the new, emerging one based on data analytics. The commonly held belief that artificial intelligence is going to take over people’s entire jobs is not true, Lupashor states. She says the artificial intelligence simply has the power to automate menial, unenjoyable tasks so that employees can focus on more exciting projects.

The second A, adaptation, refers to the recent exponential growth in companies’ assembled data sets and algorithms. This will cause many industries to adapt their approaches to business via changes to algorithms, data sets and conclusions drawn.

The third and last A, accountability, covers how, with such a new and unexplored field emerging, companies are going to have to focus on their transparency and accountability. We’ve seen this as many large companies have recently faced scrutiny for their data-secrecy.

Querlo AI at NYU HR

To close, Lupashor and Rulli discuss how Lupashor is also spearheading a new curriculum as an adjunct professor at NYU. She teaches the Digital Workplace Design Curriculum, now a vital course in the Human Capital Management Graduate Program. The course covers creating and distributing chatbots for the purpose of improving employee experience. Lupashor also comments on Querlo’s potential to grow via recent implementations of NLP to move away from deterministic chatbots; deterministic chatbots are those where each response is hard-coded, while Querlo is working towards chatbots that respond with original answers.

Lupashor concludes by saying that more information can be found at Reframe.Work; those especially interested can also reach out to her at stela@reframe.work.