BALTIMORE, MD, April 1, 2025 – Can we really trust AI to make better decisions than humans? A new study says … not always. Researchers have discovered that OpenAI’s ChatGPT, one of the most advanced and popular AI models, makes the same kinds of decision-making mistakes as humans in some situations – showing biases like overconfidence of hot-hand (gambler’s) fallacy – yet acting inhuman in others (e.g., not suffering from base-rate neglect or sunk cost fallacies).
You are swimming in an ocean of data and don’t even realize it. All around you are invisible amounts of data that would be staggering to try to comprehend. Thousands of smartphones and smart devices are talking to, sending and downloading vast amounts of data, video, audio, words, numbers, images, you name it. Everything from the latest movie on Netflix to someone’s radiology results from a cancer screening.
Mom-and-pop businesses are trying to adapt to the soaring cost of eggs. The owners of four egg-centric restaurants across the country show how they are coping with this threat to their livelihoods.
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Returns have been growing year over year, creating millions of pounds of waste and needless emissions from shipping. Major retailers are starting to charge for returns, which could have a positive impact on the environment.
New Year’s resolutions are not commitments to change. If a person is committed to make positive and constructive changes, a specific date such as Jan. 1 is not necessary. Any day can do.
BALTIMORE, MD, January 9, 2023 – Groundbreaking modeling detailed in new research in the INFORMS Journal on Applied Analytics is being credited with helping lead to the arrest of dozens of suspects in human trafficking rings in Alabama.
A new research in the INFORMS journal Manufacturing & Service Operations Management finds that Medicare Advantage (MA), the largest healthcare capitation program in the U.S., unintentionally incentivises health plans to cherry-pick profitable patients from traditional Medicare (TM). The study, “Can Big Data Cure Risk Selection in Healthcare Capitation Program? A Game Theoretical Analysis,” shows that even if the current MA risk adjustment design became informationally perfect through increased availability of big data, incentives would continue to persist for risk selection, primarily because of the way the current risk adjustment model is designed. Co-author SMU Assistant Professor of Operations Management Zhaowei She said, “No generic risk adjustment algorithm can solve the strategic prediction problem in risk adjustment without explicitly taking into account the underlying mechanism in healthcare capitation programs.” The study calls for practitioners and policymakers to change their views of seeing risk adjustment as a pure statistical and machine learning problem and to look more comprehensively at the human impact.
OR/MS Today is the INFORMS member magazine that shares the latest research and best practices in operations research, analytics and the management sciences.
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Analytics magazine showcases articles and research reports based on big data, AI, machine learning, data analytics and other new-age technologies.
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