It emphasizes the need for human intellectual input and suitable policies to ensure the reliability of medical evidence and promote the responsible use of AI in healthcare.Fay, TaylaHomewood, DavidFay, DarcyNiall, OwenBJU International
A Year of AI Pragmatism and Paradigm ShiftsAround the Network Wanted: An Incident Repository For Healthcare Nonprofits How Will Health Data Privacy, Cyber Regs Shape Up in 2025? How Hackers Can Manipulate AI to Affect Health App Accuracy Protecting the C-Suite in the Wake of UHC CEO's ...
Meta has revealed plans to set up a dedicated team that will combat disinformation and AI misuse ahead of the EU elections in June. In a blogpost published yesterday (25 February), Meta said it removes the most serious kinds of misinformation from Facebook and Instagram – both companies it ...
As generative language models improve, they open up new possibilities in fields as diverse as healthcare, law, education and science. But, as with any new technology, it is worth considering how they can be misused. Against the backdrop of recurring online influence operations—covertordeceptive...
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In the future, large language models (LLMs) may enhance the delivery of healthcare, but there are risks of misuse. These methods may be trained to allocate resources via unjust criteria involving multimodal data - financial transactions, internet activity, social behaviors, and healthcare ...
Res. Public Health 2016, 13, 502 2 of 13 the leading cause of healthcare costs [1,4,5]. In addition to being serious health-threatening behaviors, alcohol consumption and illegal drug use are associated with numerous other problems such as trauma, traffic accidents, crime, aggression, ...