News Room

A collection of press releases, audio content and media clips featuring INFORMS members and their research.

AI Thinks Like Us – Flaws and All: New Study Finds ChatGPT Mirrors Human Decision Biases in Half the Tests
News Release

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).

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In 2025, you can’t have an effective democracy without data literacy
Media Coverage

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.

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Shell Shocked: How Small Eateries Are Dealing With Record Egg Prices
Media Coverage

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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An audio journey of how data and analytics save lives, save money and solve problems.

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Ashley Smith
Public Affairs Coordinator
INFORMS
Catonsville, MD
[email protected]
443-757-3578

INFORMS in the News

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The end of free returns could be good for the environment

The end of free returns could be good for the environment

WRAL, January 6, 2023

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 Analytics Tools Detect and Disrupt Sex Trafficking Activities

New Analytics Tools Detect and Disrupt Sex Trafficking Activities

News Release, January 9, 2023

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.

Decision Science Digest: January 9, 2023

Decision Science Digest: January 9, 2023

News Release, January 9, 2023
  • Increasing Dating Site Matches is in the Hands of Women, According to New Research (INFORMS journal Information Systems Research)
  • The Role of Health Competition Leaderboards in Successful Use of Wearable Technology (INFORMS journal Management Science)
  • Getting the Job and Keeping the Job: The Role of Profile Pictures (INFORMS journal Marketing Science)
  • The Impact of Chatbots on Customer Service: Does their Attitude Make a Difference? (INFORMS journal Information Systems Research)
Cherry-picking profitable patients: New research identifies unintended consequences for some Medicare patients

Cherry-picking profitable patients: New research identifies unintended consequences for some Medicare patients

Singapore Management University, January 6, 2023

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.

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