TIWN
New York, Feb 22 (TIWN) Information overload may not always be a good thing. Researchers have found that in certain circumstances, having more background information may actually lead people to take worse decisions.
The study, published in the journal Cognitive Research: Principles and Implications, may help reframe the idea of how we use the mountain of data extracted from Artificial Intelligence (AI) and Machine Learning (ML) algorithms and how healthcare professionals and financial advisors present this new information to their patients and clients.
"Being accurate is not enough for information to be useful," said Samantha Kleinberg, Associate Professor of Computer Science at Stevens Institute of Technology in New Jersey, US.
"It's assumed that AI and Machine Learning will uncover great information, we'll give it to people and they'll make good decisions. However, the basic point of the paper is that there is a step missing: we need to help people build upon what they already know and understand how they will use the new information," Kleinberg added.
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