A recent crop of AI systems claiming to detect AI-generated text perform poorly—and it doesn’t take much to get past them.

Within weeks of ChatGPT’s launch, there were fears that students would be using the chatbot to spin up passable essays in seconds. In response to those fears, startups started making products that promise to spot whether text was written by a human or a machine.

The problem is that it’s relatively simple to trick these tools and avoid detection, according to new research that has not yet been peer reviewed.

Earlier this year, on the eve of Chicago’s mayoral election, a video of moderate Democrat candidate Paul Vallas appeared online. Tweeted by “Chicago Lakefront News,” it appeared to showcase Vallas railing against lawlessness in Chicago and suggesting that there was a time when “no one would bat an eye” at fatal police shootings.

The video, which appeared authentic, was widely shared before the Vallas campaign denounced it as an AI-generated fake and the two-day old Twitter account that posted it disappeared. And while it’s impossible to say if it had any impact on Vallas’s loss against progressive Brandon Johnson, a former teacher and union organizer, it is a lower stakes glimpse at the high stakes AI deceptions that will potentially muddy the public discourse during the upcoming presidential election. And it raises a key question: How will platforms like Facebook and Twitter mitigate them?

That’s a daunting challenge. With no actual laws to regulate how AI can be used in political campaigns, it is on the platforms to determine what deep fakes users will see on their feeds, and right now, most are struggling to address how to self-regulate. “These are threats to our very democracies,” Hany Farid, an electrical engineering and computer science professor at UC Berkeley, told Forbes. “I don’t see the platforms taking this seriously.”

The UN is aware that AI technology is racing ahead of the capacity to set its boundaries and directions, and so it brought together some of the best minds on the topic — whether human or man-made.

The “AI for Good Global Summit”, in Geneva on Thursday and Friday is being convened by the UN’s ITU tech agency — and many unaware attendees were startled by the humanoid robots suddenly turning to look at them as they passed by.

“When generative AI shocked the world just a few months ago, we had never seen anything like it. Nothing even close to it. Even the biggest names in tech found the experience mind-blowing,” ITU chief Doreen Bogdan-Martin told the summit.

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A pair of scientists has produced a research paper in less than an hour with the help of ChatGPT — a tool driven by artificial intelligence (AI) that can understand and generate human-like text. The article was fluent, insightful and presented in the expected structure for a scientific paper, but researchers say that there are many hurdles to overcome before the tool can be truly helpful.

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By holding the chatbot’s hand at every step, researchers produced a paper that was fluent and insightful. Yet they still have concerns.

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If you’ve ever wished your camera had a few more megapixels so you could zoom in on details on your computer screen, or blow up your favourite photos to print, Gigapixel AI might be just the solution.

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If you’ve ever wanted to enlarge low megapixel photos or sharpen your ‘soft’ images, check out this extraordinary review of Topaz Gigapixel AI. Software | Software Reviews | Topaz | By Greg Cromie Twitter 24 Facebook 2 Pinterest Share 26SHARESIn this Topaz Gigapixel AI Review, I’ll be testing the claims of a photo enlargement software that promises to do things to your images that were previously considered impossible.