Research

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

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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

Research Spotlight: Cryptocurrency Confidence Index

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Analytics at Wharton spoke with David Reibstein, Catherine “Cait” Lamberton, Z. John Zhang, and, Martin P. Fritze about their research into the attitudes of consumers towards cryptocurrencies – whose true value is famously difficult to ascertain – and how those attitudes are reflected in the pricing of cryptocurrencies.…Read More

Wharton Professor’s SCEPTRE Tool Helps Link Genetics to Disease Risk

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It’s not often the case that statisticians have an advanced understanding of genomics, but it’s exactly this combination of expertise that has Eugene Katsevich, assistant professor of statistics and data science at the Wharton School, making waves with his team’s new software package, SCEPTRE. At its core, SCEPTRE is a free, easy-to-use statistical tool that biologists can utilize to uncover correlations between certain genetic variants and their impact on disease risk. Understanding these correlations can help scientists accelerate the speed, and improve the effectiveness, with which they are able to treat a number of diseases. …Read More

AI on the Mind: Analytics at Wharton’s Neuroscientists Weigh In On AI’s Future with our Brains

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Recent advancements in artificial intelligence present massive changes for every industry, and neuroscience is no exception. Analytics at Wharton sat down with our resident neuroscience experts – Michael Platt and Zab Johnson – to find out how they’re preparing, and how our brains will work with AI in the future.…Read More