generative AI | Nieman Journalism Lab

Articles tagged generative AI (31)

Rasmus Kleis NielsenMay 23, 2024

How uncritical news coverage feeds the AI hype machine

“The coverage tends to be led by industry sources and often takes claims about what the technology can and can’t do, and might be able to do in the future, at face value in ways that contribute to the hype cycle.”

Siwei Lyu and Yan JuApril 23, 2024

Deepfake detection improves when using algorithms that are more aware of demographic diversity

“Our research addresses deepfake detection algorithms’ fairness, rather than just attempting to balance the data. It offers a new approach to algorithm design that considers demographic fairness as a core aspect.”

Andrew DeckApril 17, 2024

Newsweek is making generative AI a fixture in its newsroom

The legacy publication is leaning on AI for video production, a new breaking news team, and first drafts of some stories.

Rowan PhilpFebruary 26, 2024

With elections looming worldwide, here’s how to identify and investigate AI audio deepfakes

“They are easier and cheaper to create than deepfake videos, and there are fewer contextual clues to detect with the naked eye.”

Joshua BentonFebruary 20, 2024

“We’ve really worked hard not to ever have a pivot at The New York Times”: A.G. Sulzberger on AI, local news, and that Trump bump

“Never get comfortable; always assume that the world is conspiring to take down the industry and that we will have to move heaven and earth to overcome those forces to blaze a path forward for quality journalism.”

“AI” discourse as misinformation

“The ‘AI’ that dominates our collective imagination differs significantly from the technology at our fingertips. For most of us, this imagined technology is based more on the fiction of the last decades than reality. Journalism’s task, then, should be to bridge that gap.” Jonas Kaiser

AI gets accurate

“A key revenue source for the AI models is licensing their tools to companies and governments that insist on these models producing trustworthy information.” Gordon Crovitz

The AI copyright watershed comes into view

“Comparatively little of the attention around news and AI has focused on its impact on the future economic viability of our industry, and 2024 seems likely to be the year in which this changes.” Richard Tofel

Sarah ScireDecember 5, 2023

Most readers want publishers to label AI-generated articles — but trust outlets less when they do

“We already expect quite a lot from the public in terms of media literacy to be able to navigate the contemporary information environment; the use of these technologies in news adds a whole other layer to that.”

Joshua BentonNovember 27, 2023

The legal framework for AI is being built in real time, and a ruling in the Sarah Silverman case should give publishers pause

That an AI model was trained on copyrighted material does not make all of the model’s outputs a copyright violation.

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