What journalists and the public think about journalism and technology
Researchers at the Center for News, Technology & Innovation shed light on a mismatch between how journalists and the public view journalism in the age of artificial intelligence.
Researchers at the Center for News, Technology & Innovation shed light on a mismatch between how journalists and the public view journalism in the age of artificial intelligence.
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News audiences want to know when journalists use artificial intelligence. Here’s how news organizations can disclose their use of AI, with tips from Trusting News.
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Managing expectations, gaining buy-in from newsroom leaders and more: What two research teams found after months embedded in global newsrooms experimenting with artificial intelligence tools.
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Some news organizations have used generative AI, but the utility of AI in journalism is not obvious to everyone. We reached out to a longtime tech journalist for her thoughts on the future of AI and the news.
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US states are starting to form policy rules for the use of AI among health insurers. We’ve created this guide to help journalists understand the nascent regulatory landscape.
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STAT reporters Bob Herman and Casey Ross share eight reporting tips based on their four-part investigative series, which revealed that health insurance companies used a flawed computer algorithm and secret internal rules to improperly deny or limit rehab care for seriously ill older and disabled patients.
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We don’t yet know the full impact of artificial intelligence-generated deepfake videos on misinforming the electorate. And it may be the narrative around them — rather than the deepfakes themselves — that most undermines election integrity.
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Artificial intelligence is informing and assisting journalists in their work, but how are newsrooms managing its use? Research on AI guidelines and policies from 52 media organizations from around the world offers some answers.
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With rapid advances in technology, it’s becoming easier to create and spread visual content that’s inaccurate, misleading and dangerous. There are similarities and differences between visual health misinformation and other types of visual misinformation.
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While some algorithms do indeed exacerbate inequitable medical care, other algorithms can actually close such gaps, a growing body of research shows.
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