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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They’ve slowed for now, but as we begin to emerge from our homes, we need to brace for a resurgence.
A new COVID-19 model from Georgia Tech projects increases of thousands of cases and deaths in the state by mid-August. The university’s Center for Health and Humanitarian Systems and Health Analytics Group say that depending on how much the public follows physical distancing measures in the coming weeks, Georgia’s total number of COVID-19 deaths could range from 6,100 to 17,900 by that August time frame.
Each day behind closed doors in a handful of Wichita offices, they pick up the phone and start dialing. On the other end of the line are the latest people to test positive for the coronavirus in Sedgwick County and those who came close to them in the days before their symptoms began.
University of Toronto researchers in the Faculty of Applied Science & Engineering have designed a tool to help hospitals make the most of their resources during the COVID-19 pandemic by more efficiently matching staff to open jobs.
A study has found that popular rideshare platforms present racial and other biases that penalise under-represented minorities and others seeking to use their services.
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