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Anyone can fake a scientific image with AI, tricking even academic journals

AI-generated imagery is undermining scientific evidence and deceiving academic journals, sparking a broader crisis of trust in visual data.

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📍 How it ended

AI-generated images were reported to undermine scientific visual evidence and trick academic journals. Discussions focused on the resulting collapse of trust and the development of a chip with cryptographic signing to fight deepfakes.

The story quieted without a definitive conclusion in the coverage.

Epilogue added 6d ago, after coverage quieted.

The brief

AI is being used to fake scientific images, which has successfully tricked academic journals and undermined the reliability of visual evidence in research. Coverage from The Conversation and Let's Data Science emphasizes the ease with which anyone can create these fakes.

Meanwhile, Indian Startup Times features Amitabh Kumar of Contrails AI, who describes the situation as a collapse of trust rather than just a threat of deepfakes. Technical responses are emerging to address the issue.

According to Interesting Engineering, a new chip has been developed to combat deepfakes using built-in cryptographic signing.

Synthesized by Archynetys from the headlines below under a strict no-invention contract. ✓ fact-checked: all claims supported by sources Updated 21d ago.

Quick answers

Who is being deceived by AI-generated scientific images?

According to coverage, academic journals are being tricked by these images.

What is the proposed hardware solution to combat deepfakes?

Interesting Engineering reports on a new chip that utilizes built-in cryptographic signing.

How does Amitabh Kumar characterize the risk of AI imagery?

Kumar states that the real threat is the collapse of trust.

Coverage (4)

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