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"Last month, Parsley presented Depict, a crowd-sourced image description tool that could change the experience of the browsing the web for the blind and visually impaired. The tool works in two parts-a browser extension for blind users that provides user-created descriptions of images around the Internet, and a website for sighted users to provide those requested descriptions."

"The new tools appear to allow Twitter users to share images with text overlays, stickers, and other modifications. Twitter's existing tools merely allow people to crop images or run them through filters that greatly change their appearance, whether it's by upping the contrast or making them look like old Polaroid shots."

You see these awesome, first ever up-close images of Pluto and its moon? Yeah, they're all fake. Every last one of them. According to conspiracy theorists, that is.

"A newly released set of slides from the Snowden leaks reveals that the NSA is harvesting millions of facial images from the Web for use in facial recognition algorithms through a program called "Identity Intelligence." James Risen and Laura Poitras's NYT piece shows that the NSA is linking these facial images with other biometrics, identity data, and "behavioral" data including "travel, financial, behaviors, social network." "

"This practice is problematic for women, their self-image and their sense of worth, as they continue to compare their own bodies with unattainable, digitally enhanced images. "

"Unlike other companies, Zebra's algorithms provide an actual diagnosis, completely automatically using only imaging data. This is a very new field - older technology was always driven by the radiologist, and never automatic. The algorithms are part of the Zebra Analytics Platform - a cloud based analytics engine that receives medical imaging studies, analyzes them and returns results to participating hospitals and physicians."

"Google has developed and open-sourced a new JPEG algorithm that reduces file size by about 35 percent-or alternatively, image quality can be significantly improved while keeping file size constant. Importantly, and unlike some of its other efforts in image compression (WebP, WebM), Google's new JPEGs are completely compatible with existing browsers, devices, photo editing apps, and the JPEG standard."

"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. "

"Once the image was in my Ethereum wallet, I didn't particularly feel like I owned it any more than the other screenshots in my Images file. But I did feel a nihilistic rush - the thrill of abstract money moving around."

"When you take a photo, your smartphone or digital camera stores "metadata" within the image file. This automatically and parasitically burrows itself into every photo you take. It is data about data, providing identifying information such as when and where an image was captured, and what type of camera was used."

"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. "

"Video For "American Pie" In Which Every Image Is Generated From The Lyrics By An AI"

"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."

"Some experts see platforms like Appen as a new form of data colonialism, says Saiph Savage, director of the Civic AI lab at Northeastern University. "Workers in Latin America are labeling images, and those labeled images are going to feed into AI that will be used in the Global North," she says. "While it might be creating new types of jobs, it's not completely clear how fulfilling these types of jobs are for the workers in the region." Due to the ever moving goal posts of AI, workers are in a constant race against the technology, says Schmidt. "One workforce is trained to three-dimensionally place bounding boxes around cars very precisely, and suddenly it's about figuring out if a large language model has given an appropriate answer," he says, regarding the industry's shift from self-driving cars to chatbots. Thus, niche labeling skills have a "very short half-life." "From the clients' perspective, the invisibility of the workers in microtasking is not a bug but a feature," says Schmidt. Economically, because the tasks are so small, it's more feasible to deal with contractors as a crowd instead of individuals. This creates an industry of irregular labor with no face-to-face resolution for disputes if, say, a client deems their answers inaccurate or wages are withheld. The workers WIRED spoke to say it's not low fees but the way platforms pay them that's the key issue. "I don't like the uncertainty of not knowing when an assignment will come out, as it forces us to be near the computer all day long," says Fuentes, who would like to see additional compensation for time spent waiting in front of her screen. Mutmain, 18, from Pakistan, who asked not to use his surname, echoes this. He says he joined Appen at 15, using a family member's ID, and works from 8 am to 6 pm, and another shift from 2 am to 6 am. "I need to stick to these platforms at all times, so that I don't lose work," he says, but he struggles to earn more than $50

"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."

"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."

"According to the website Lexica, which tracks over 10 million images and prompts generated by Stable Diffusion, Rutkowski's name has been used as a prompt around 93,000 times. Some of the world's most famous artists, such as Michelangelo, Pablo Picasso, and Leonardo da Vinci, brought up around 2,000 prompts each or less. Rutkowski's name also features as a prompt thousands of times in the Discord of another text-to-image generator, Midjourney. Rutkowski was initially surprised but thought it might be a good way to reach new audiences. Then he tried searching for his name to see if a piece he had worked on had been published. The online search brought back work that had his name attached to it but wasn't his. "It's been just a month. What about in a year? I probably won't be able to find my work out there because [the internet] will be flooded with AI art," Rutkowski says. "That's concerning.""

"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."

""Once these technical photographic limitations of the image are determined, we can then zoom in as closely as possible to every edge of the subjects, in order to highlight where detail has been altered, knowing what should be sharp and what shouldn't. "As per the annotations, this reveals sharp transitions of detail, usually from hard edged selections [in the image editing programme Adobe Photoshop], which can be either straight or worked around curved areas of detail. "It's the juddering of straight-line detail that is the biggest telltale sign of multiple frames being composited together. This can be seen extensively around the hair, arms, and especially at the zip midway down the princess's jacket. Seeing repetition of detail in the finer areas also reveals the likely use of the cloning tool in Photoshop."