Group items tagged

"Contrary to the images circulating on social media, Katy Perry was not one of them. "Couldn't make it to the MET, had to work," the singer posted on Instagram, alongside a video of herself singing in the studio - as well as two photos seemingly showing her at the gala. They were actually made with AI."

"A New York Times deep-dive into a facial recognition AI tool sold to law enforcement agencies uncovered that the company has amassed more than three billion images. Those images are scraped from all corners of the internet from social media sites to companies' "About Us" pages.  That's way more than the typical police or even FBI database. "

"The opt-out movement is spreading, with tens of millions of artworks and images excluded in the last few weeks. But following the trail is tricky as images are used by clients in altered forms and opt-out clauses can be hard to find. Many photographers are also reporting that their "style" is being mimicked to produce cheaper work. "As these programs are devised to 'machine learn', at what point can they generate with ease the style of an established professional photographer and displace the need for their human creativity?" says Doran."

"This week the Animal Justice Party MP Georgie Purcell had her photo edited to enlarge her breasts and insert a crop into her top that hadn't been there. Having previously been a victim of image-based abuse, Purcell said the incident felt violating, and that the explanation given by Nine News failed to address the issue. For its part, Nine blamed an "automation" tool in Photoshop - the recently launched "generative fill", which, as the name suggests, fills in the blanks of an image when it is resized using artificial intelligence. Nine said the company was working from an already-cropped version of the original image, and used the tool to expand beyond the image's existing borders. But whoever did alter the image presumably still exported the modified version without considering the impact of their changes."

"This time the model could look at both the surrounding words and the content of the image to fill in the blank. Through millions of repetitions, it could then discover not just the patterns among the words but also the relationships between the words and the elements in each image."

"A hot potato: "Use this picture of my dog to create a realistic poster in the style of Pixar for a movie called Merlin." It's a simple prompt for a generative AI to handle, which actually produces a cute result. Of course, Disney doesn't find it cute at all, which is why Microsoft reprogrammed its Bing Image creator. "

"The Open AI researchers were intrigued by a claim that self-driving cars would be intrinsically hard to fool (tricking them into sudden braking maneuvers, say), because "they capture images from multiple scales, angles, perspectives, and the like.""

"They still have far more advanced technology that they haven't made publicly available yet. Something that does more or less what Bard does could have been released over two years ago. They've had that technology for over two years. What they've spent the intervening two years doing is working on the safety of it - making sure that it doesn't make things up too often, making sure that it doesn't have racial or gender biases, or political biases, things like that. That's what they spent those two years doing. But the basic existence of that technology is years old, at this point. And in those two years, it wasn't like they weren't inventing other things. There are plenty of other systems that give Google's AI more capabilities, more features, make it smarter. The most sophisticated system I ever got to play with was heavily multimodal - not just incorporating images, but incorporating sounds, giving it access to the Google Books API, giving it access to essentially every API backend that Google had, and allowing it to just gain an understanding of all of it."

"Sports Illustrated deleted web articles after a report claimed they were generated by artificial intelligence and published under fake author names. Tech publisher Futurism reported the issue after finding author headshots on an AI-generated image website. The Sports Illustrated Union said staff were "horrified" and demanded "basic journalistic standards". The publisher's owner disputed the report's accuracy, but it said it had launched an internal investigation. Arena Group, which owns the Sports Illustrated magazine and website, licensed the content from a third-party company, Advon Commerce, a company spokesperson said in a statement. Sports Illustrated has since removed the content after the allegations were raised, the statement added. Arena Group is now pursuing an internal investigation and has ended its partnership with Advon Commerce. "

"Their tools analyze content using sophisticated algorithms, picking up on subtle signals to distinguish the images made with computers from the ones produced by human photographers and artists. But some tech leaders and misinformation experts have expressed concern that advances in A.I. will always stay a step ahead of the tools. To assess the effectiveness of current A.I.-detection technology, The New York Times tested five new services using more than 100 synthetic images and real photos. The results show that the services are advancing rapidly, but at times fall short."

"A sleepy town in southern Spain is in shock after it emerged that AI-generated naked images of young local girls had been circulating on social media without their knowledge. The pictures were created using photos of the targeted girls fully clothed, many of them taken from their own social media accounts. These were then processed by an application that generates an imagined image of the person without clothes on."

"Although disinformation has been extensively discussed as a powerful weapon employed by state and non-state actors, especially given the quick rise of AI tools capable of generating fabricated texts, sounds, and moving or still images,"

"In the fall of 2020, gig workers in Venezuela posted a series of images to online forums where they gathered to talk shop. The photos were mundane, if sometimes intimate, household scenes captured from low angles-including some you really wouldn't want shared on the Internet. In one particularly revealing shot, a young woman in a lavender T-shirt sits on the toilet, her shorts pulled down to mid-thigh. The images were not taken by a person, but by development versions of iRobot's Roomba J7 series robot vacuum. They were then sent to Scale AI, a startup that contracts workers around the world to label audio, photo, and video data used to train artificial intelligence."

"A Taiwanese American model says a well-known fashion designer uploaded a digitally altered runway photo that made her appear white. In a TikTok about the incident that has been viewed 1.8m times in the last week, Shereen Wu says Michael Costello, a designer who has worked with Beyoncé, Jennifer Lopez, and Celine Dion, posted a photo to his Instagram from a recent Los Angeles fashion show. The photo depicts Wu in the slinky black ballgown that she walked the runway in - but her face has been changed, made to appear as if she is a white woman."

"But users began to spot flaws in the feature over the weekend. The first to highlight the issue was PhD student Colin Madland, who discovered the issue while highlighting a different racial bias in the video-conference software Zoom. When Madland, who is white, posted an image of himself and a black colleague who had been erased from a Zoom call after its algorithm failed to recognise his face, Twitter automatically cropped the image to only show Madland."

"You're nailing the problem: the tech sales people and the politicians are all on the same drug, which is "This tech is perfect", because it's cheaper than more police. There's a lawsuit in the US because a black man was wrongly arrested based on facial recognition. Tech companies need to be held to account. One company we focused on, Clearview AI, scraped social networks - collected images of people's faces and data from publicly available information - to create its software. Facial recognition relies on artificial intelligence. It needs to study faces. And only the government - the DVLA etc - and social networking companies have access to a lot of faces."

"It might not sound like much, but the success of the Minwa supercomputer, which can sort a million images into a thousand predefined categories with an error rate less than the typical human, makes it the latest secret weapon of the company known as "China's Google", Baidu."

"Computers once performed facial recognition rather imprecisely, by identifying people's facial features and measuring the distances among them - a crude method that did not reliably result in matches. But recently, the technology has improved significantly, because of advances in artificial intelligence. A.I. software can analyze countless photos of people's faces and learn to make impressive predictions about which images are of the same person; the more faces it inspects, the better it gets. Clearview is deploying this approach using billions of photos from the public internet. By testing legal and ethical limits around the collection and use of those images, it has become the front-runner in the field. "

"At their core, GANs consist of two networks: the generator and discriminator. These computer programs compete against each other millions-upon-millions of times to refine their image generating skills until they're good enough to create the full-fledged pictures."