BetterHelp shared customer data while promising it was private, says FTC – The Verge

BetterHelp shared customer data while promising it was private

Online counseling company BetterHelp has agreed to pay $7.8 million to settle charges from the Federal Trade Commission that it improperly shared customers’ sensitive data with companies like Facebook and Snapchat, even after promising to keep it private. The proposed order, announced by the FTC on Thursday, would ban the…

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‘How social media became the new Big Tobacco’: Pinterest CEO sounds off on dangers of A.I.

Pinterest CEO Bill Ready goes one-on-one with George Stephanopoulos on “Good Morning America,” issuing a warning on how artificial intelligence is gaining more control over social media feeds and could impact mental health. Source: ‘How social media became the new Big Tobacco’: Pinterest CEO sounds off on dangers of A.I….

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Health info for 1 million patients stolen using critical GoAnywhere vulnerability | Ars Technica

One of the biggest hospital chains in the US said hackers obtained protected health information for 1 million patients after exploiting a vulnerability in an enterprise software product called GoAnywhere.Community Health Systems of Franklin, Tennessee, said in a filing with the Securities and Exchange Commission on Monday that the attack…

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RADx Tech DIVE Fellowship Program 2023- POCTRN – GAITS

The RADx® Tech DIVE fellowship program provides innovators from populations historically underrepresented in biotech research the support and skills they need to commercialize their technologies.This unique 28-week online course, taught by experienced healthtech mentors and industry experts, builds upon the lessons learned in RADx Tech by exploring project maturity, addressing…

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Bias Detection Tools in Health Care Challenge

This challenge aims to improve trust in artificial intelligence and machine learning through bias detection and mitigation. To address these issues [of bias] and improve clinician and patient trust in AI/ML-based CDS tools, this Challenge invites groups to develop bias-detection and -correction tools that foster “good algorithmic practice” and mitigate…

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