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The blame game: Who takes responsibility for AI’s mistakes?

A survey conducted by the Ann and Robert H. Lurie Children's Hospital of Chicago found more than 75% of parents are generally receptive to the use of artificial intelligence (AI) tools in the management of children with respiratory illnesses in the emergency department (ED). However, some demographic subgroups, including non-Hispanic black and younger age parents, had greater reservations about the use of these technologies. 

Recent advances in AI have enabled positive change in numerous areas, including public safety, sustainability and healthcare. But when algorithms go awry—as some inevitably will—who should shoulder the blame?

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ACR creates platform to engage radiologists in AI development

The American College of Radiology Data Science Institute (ACR DSI) introduced a new software platform April 5 aimed at better engaging radiologists in the creation, validation and use of AI models.

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EU moves forward in efforts to regulate ethical AI

Just under a year after first announcing its strategy to manage new AI, the European Commission on April 8 presented a seven-step approach to ensuring that all future AI solutions are ethical and trustworthy.

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Amazon Alexa is now HIPAA-compliant

Amazon’s virtual assistant is now HIPAA-compliant, the company said April 4 in a blog post announcing the launch of six new Alexa skills designed to help consumers manage their healthcare.

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AI optimizes embryo selection for IVF

A team at Weill Cornell Medicine has developed an AI algorithm that can identify whether human embryos fertilized in vitro have the potential to progress to successful pregnancies, offering guidance as few as five days after an embryo is implanted.

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Google dissolves AI ethics board just 9 days after its creation

Google has dissolved its AI ethics board just a week after it was founded to guide “responsible development of AI” within the company.

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Startup secures $13M to better train deep learning models

Artificial intelligence startup Run:AI secured $13 million in funding this month for its high-tech training solution for deep learning models, the company announced April 3.

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5 ways AI is being used to advance cancer research

AI and its various applications are redefining the way scientists approach cancer research, according to a review published in Drug Discovery Today.

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Deep learning an important weapon in the war on military suicides

battle helmet

The Veterans Administration is turning to computer scientists at Lawrence Berkeley National Laboratory—aka Berkeley Lab—for help reducing suicide among VA patients. To meet the challenge, the lab is using deep learning to analyze data in electronic health records, according to an item published online April 3 by Berkeley Lab’s news center.

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Mobile app brings health education to kids through augmented reality

California-based tech company Stayhealthy Inc. introduced a new mobile augmented reality (AR) app this April that’s geared toward engaging and immersing kids in learning about their own health.

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