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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The newspaper publisher is the first major news outlet to sue the AI creator. While the suit might not reach court, it still has a significant impact on the AI community.
When and where do we sound the privacy alarm with AI? Where do we draw the line? Is it even possible to stop what’s already in motion or do we just have to manage the consequences? And on the line to discuss these issues is Temple professor Subodha Kumar. Subodha is the Founding Director of the Center for Business Analytics and Disruptive Technologies at Temple University’s Fox School of Business.
Many people are already leaders or want-to-be leaders in their organisation. The combination of aspiration and the belief that “leaders are made, not born” creates an entire industry to serve this huge market.
BALTIMORE, MD, January 3, 2024 – New research has found a way to leverage the power of artificial intelligence (AI) to more efficiently screen out bad ideas to focus on only good ideas in the crowdsourcing process within ideation. More specifically, the research has arrived at a simple model for screening out ideas that experts might consider “bad.” Importantly, managers can adjust their model to determine how many bad ideas to screen out, without losing good ones. The research also found a single new predictor that screens out atypical ideas and preserves more inclusive and rich ideas.
One of the best ways to get a picture of a nation is through its numbers and, perhaps more importantly, its averages.
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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