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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One out of two mobile apps released is a clone of an existing app. However, new research in the INFORMS journal Information Systems Research shows the success of the original app is not always adversely affected by these clone apps. The study found that whether the copycat app increases or decreases the number of downloads of the original is dependent upon the quality of the copy.
If you were given datasets with genetic information and yields from trials of different experimental maize hybrids, along with information on soil conditions and recorded weather of a U.S. growing region, how will you predict the performance of these hybrids? And what if the genetic information dataset included an average of 12,000 genetic markers or unique DNA sequences to identify each hybrid? Those were the questions that the CIAT data analytics team needed to address as part of an international competition organized by agribusiness giant Syngenta in partnership with INFORMS, the largest international society of operations research, management science, and analytics practitioners.
For every two mobile apps released, one is a clone of an existing app. However, new research published in the INFORMS journal Information Systems Research shows the success of the original app is not always adversely affected by the creation of clone apps. In fact, the study, which was conducted by Carnegie Mellon University researchers, found that whether the copycat app increases or decreases the number of downloads of the original is dependent upon the quality of the copy.
A common assumption in digital marketing is that individuals who are mindful of what’s trending on social media and propagate these trends, will be responsive to social media advertising and marketing, thus sharing branded messages with their network on a wide scale. As a result, firms increasingly try to mesh their brand or product with an emerging trend to get the attention of those who propagate these trends. The study will be published in the INFORMS journal Marketing Science.
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