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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At Tampa General Hospital, clinicians reduced the number of orders for one specific test from roughly 90 per month to five – helping with antimicrobial stewardship along the way.
A new study to be published in the INFORMS journal Marketing Science found that when managers respond to online reviews it's possible that those responses could actually stimulate additional reviewing activity and an increased number of negative reviews.
When managers respond to online reviews they risk triggering a large number of negative reviews, says a new study in the INFORMS journal Marketing Science. When consumers believe their online reviews might have influence, they are more likely to engage in negative reviewing. In other words, if we think our comment may influence a specific company, we are more likely to write negatively about it.
A new study to be published in the INFORMS journal Marketing Science found that when managers respond to online reviews it’s possible that those responses could actually stimulate additional reviewing activity and an increased number of negative reviews.
New research from former INFORMS President Ed Kaplan and a colleague from Yale University updates a popular formula and calculator that runners past the age of 40 can use to determine how fast we can expect to slow down and provides us with reasonable, age-appropriate finishing-time targets for ourselves.
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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