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“The AI+HI Project” Podcast S1, E25
From AI acting as your “coworker” to sparking team imagination and adaptability, Sam Ransbotham, professor of analytics at Boston College, explores the impact of AI tools in the workplace. Discover why Ransbotham says, “The first day is the worst day for AI…[but] it’s going to improve. The idea of machine learning is exactly that: learning.”
Sam Ransbotham is a professor of analytics and the Mastrocola Dean’s Faculty Fellow at Boston College’s Carroll School of Management. He teaches “Analytics in Practice” and “Machine Learning and Artificial Intelligence.” Ransbotham served as a senior editor at Information Systems Research, associate editor at Management Science, and academic contributing editor at MIT Sloan Management Review. He co-hosts the "Me, Myself, and AI" podcast, available on all major platforms. Ransbotham received a National Science Foundation Career Program award “in support of early-career faculty who have the potential to serve as academic role models in research and education” for his analytics-based research in security. He was also honored with an INFORMS ISS Sandra A. Slaughter Early Career Award, which recognizes “early career individuals who are on a path towards making outstanding intellectual contributions to the information systems discipline.” Ransbotham earned a bachelor’s degree in chemical engineering, an MBA, and a doctorate, all from the Georgia Institute of Technology. Before earning his doctorate, he founded a software company with a globally diverse client list including the United Nations IAEA (Vienna), FAO (Rome), WHO (Geneva), and WMO (London). Since 2015, he has been an editor for MIT SMR’s Big Ideas initiatives, including Artificial Intelligence and Business Strategy and Competing With Data & Analytics.
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CHI research reveals how AI transforms workplaces, emphasizing the vital roles of critical thinking, trust, and HR in fostering innovation and human potential.
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