Workforce & Skill Development

Reskilling the Workforce for AI: Why Domain Experts Need Algorithmic Skills

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AI is no longer just the territory of engineers and data scientists. Increasingly, the most valuable use cases happen when business professionals – marketers, healthcare workers, financial analysts, and managers – use AI tools themselves. That’s the central message of new research by Prasanna “Sonny” Tambe, professor at Wharton and Faculty Co-Director of Wharton Human-AI Research. His paper in Management Science, Reskilling the Workforce for AI: Domain Expertise and Algorithmic Literacy, shows that firms capture more value from AI when algorithmic expertise is distributed across domain experts rather than concentrated in IT departments.…Read More

The Complexities of Auditing Large Language Models: Lessons from Hiring Experiments

A person is giving a presentation to an audience in a conference room. The screen displays "Auditing the Use of AI Models to Guide..." with names and affiliations. The audience is seated at tables, listening attentively.

As AI becomes a fixture in hiring, evaluation, and policy decisions, a new study funded by the Wharton AI & Analytics Initiative offers a rigorous look at a critical question: Do race and gender shape how Large Language Models (LLMs) evaluate people? If so, how can we tell? The answer is, according to Prasanna “Sonny” Tambe, Faculty Co-Director of Wharton Human AI Research, and others, is complex, and the implications matter for every organization deploying LLMs at scale. Here are the key takeaways you need to know from Tambe’s latest research on LLM bias and auditability.…Read More