Analytics at Wharton News We’re Focusing on the Wrong Kind of AI Apocalypse (Outlet: Time) Ethan Mollick, Associate Professor at the Wharton School and Academic Director, Wharton Interactive, challenges the apocalyptic focus on AI risks and emphasizes the immediate threats of misinformation, deep fakes, and AI proliferation. He highlights the need for organizations to make informed decisions about AI’s impact on work and learning, emphasizing it requires thoughtful management and integration to avoid potential negative outcomes. Read More The post We’re Focusing on the Wrong Kind of AI ..read more

Analytics at Wharton News AI will change work, for better and worse (Outlet: Yahoo Finance) Sonny Tambe, AI at Wharton faculty co-director, was quoted discussing how AI has the potential to significantly impact the workforce, both positively and negatively. Read More The post AI will change work, for better and worse appeared first on AI at Wharton ..read more

AI at Wharton Updates The Smartphone Confession Booth: Why We Share More on Our Phones Imagine a small, quiet booth where revealing your deepest secrets feels natural and comfortable. This booth exists not in a secluded corner of a bustling city, but rather sits comfortably in your pocket – it’s your smartphone. A study by Wharton professors Shiri Melumad and Robert Meyer reveals a fascinating truth: we tend to be more self-disclosing when using our phones compared to traditional computers. This means we share more personal information, thoughts, and experiences on our tiny screens than on ..read more

Elham Tabassi on Framing and Taming AI Risks Join Professor Kevin Werbach and Elham Tabassi, Associate Director for Emerging Technologies at NIST, as they explore the nuances of the NIST AI Risk Management Framework (RMF). Their discussion illuminates the science of measurement, the challenges of operationalizing legal and governance requirements for AI, and the pursuit of standards for trustworthy AI. During the conversation, they delve into the diverse challenges businesses face when adopting the AI RMF and how the Trustworthy AI Resource Center serves as a critical tool to keeping entiti ..read more

Wharton Webinar Series AI Horizons AI and Innovation Generative artificial intelligence has a quantity-over-quality problem. One of the biggest challenges in using large language models like ChatGPT is precision. “Why do you need to buy the whole candy store if you just need a lollipop,” said Daniel Ringel, marketing professor at the University of Chapel Hill’s Kenan-Flagler Business School. His latest study looks at how synthetic experts can refine results to give users exactly what they need. He created one for the study and compared it with the work of crowdsourcing amateurs, academic ex ..read more

AI at Wharton Updates Mary Purk, Executive Director, AI at Wharton, on CBS News Tech Watch AI could be as transformative as electricity, JPMorgan CEO Jamie Dimon says JPMorgan Chase CEO Jamie Dimon told shareholders that artificial intelligence could have societal consequences that rival the printing press, the internet and electricity. Mary Purk, executive director of AI at Wharton, joined CBS News to discuss Dimon’s comments. The post Mary Purk, Executive Director of AI at Wharton, on CBS News Tech Watch appeared first on AI at Wharton ..read more

AI at Wharton Updates Unpacking the Generative AI Landscape: Who Wins and How? A new article by Wharton professor Kartik Hosanagar and Ramayya Krishnan, Dean of the Heinz College of Information Systems and Public Policy at Carnegie Mellon University, explores the key players, opportunities, and challenges within generative AI technology. The generative AI landscape is evolving rapidly; understanding the value chain, deciding between building and borrowing, and navigating emerging challenges are critical for success. Companies that leverage their unique strengths and capitalize on user exper ..read more

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AI at Wharton Updates Will Large Language Models Really Change How Work Is Done? Even as organizations adopt increasingly powerful LLMs, they will find it difficult to shed their reliance on humans. By Peter Cappelli, Prasanna (Sonny) Tambe, and Valery Yakubovich Large language models (LLMs) are a paradigm-changing innovation in data science. They extend the capabilities of machine learning models to generating relevant text and images in response to a wide array of qualitative prompts. While these tools are expensive and difficult to build, multitudes of users can use them quickly and chea ..read more

AI at Wharton Updates Wharton professor joins global cohort of early career artificial intelligence researchers (Outlet: The Daily Pennsylvanian): Schmidt Sciences has named Wharton professor Daniel Rock as one of 19 AI2050 Early Career Fellows who will pursue solutions in artificial intelligence through multidisciplinary research. Read More The post Wharton professor joins global cohort of early career artificial intelligence researchers appeared first on AI at Wharton ..read more