Algorithms are a staple of modern life. People rely on algorithmic recommendations to wade through deep catalogs and find the best movies, routes, information, products, people and investments.
New research from the Women and Work APPG warns AI systems risk reinforcing gender inequality in recruitment, promotion and ...
Algorithms have become increasingly pervasive as organizations in both the public and private sectors have sought to automate tasks that once required human intelligence. From facial recognition to ...
The rapid proliferation of algorithmic systems has sparked widespread concerns about their potential to perpetuate and ...
According to data from Duke University Reporters' Lab, there are 443 platforms actively engaged in fact-checking worldwide (Duke Reporters' Lab, 2025). These organizations play an important role in ...
One of the biggest barriers to using AI successfully is bias, which is one of the terms we defined last time, as follows: Bias, in a general context, refers to a predisposition or inclination towards ...
True or false? Humans are fallible and biased while computers are logical and impartial. For years, data scientists held a belief in that statement, and algorithms were written with confidence that ...
AI is riddled by bias, especially in healthcare. Just one well-known example is a study from 2019 that revealed racial bias in a clinical algorithm used by hospitals showing that Black patients had to ...
YouTube hosts millions of videos related to health care. The Health Information National Trends Survey reports that 75% of Americans go to the internet first when looking for information about health ...
AI algorithms have the potential to vastly improve health monitoring for older adults. From detecting early warning signs of chronic disease, to using AI-enabled telemedicine to expand healthcare ...
In August 2022 the Department of Health and Human Services (HHS) issued a notice of proposed rulemaking prohibiting covered entities, which include health care providers and health plans, from ...
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