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"Doctored images have become a fact of life for political campaigns. When they're disproved, believers 'just don't care.'"

"Where the researchers struck gold was by realising that a large (but not overly large pair of glasses) could act to "change the pixels" even in a real photo. By picking a pair of "geek" frames, with relatively large rims, the researchers were able to obscure about 6.5% of the pixels in any given facial picture. Printing a pattern over those frames then had the effect of manipulating the image."

"The disinformation campaign promotes unfounded conspiracy theories that the US is behind the new coronavirus outbreak, in an apparent bid to damage America's image around the world."

"Instead, the new work shows our brains rely on the kind of maths that an algorithm might use to perform the task. In fact, Tsao and her colleague, Steven Le Chang, stumbled on their discovery while working on computer vision. The pair had initially set themselves the challenge of coming up with a way of reliably converting facial images into a numerical representation."

"It's fast getting to the point where it feels unreasonable to solely blame the famous and the industries that promote them. These days, people are going to plastic surgeons wanting to resemble their own modified avatars from selfies, rather than celebrities. If you like, the fiction of Hollywood perfection has been democratised. Indeed, it's interesting how, even as "improved" celebrities are mocked, or, as with Pike, call it out themselves, the modification of our own images continues unhindered, save for the occasional "#nofilter" humblebrag. It's gone beyond old-school catfishing (pretending to be someone else) to the point where people are essentially deep-faking themselves. And it's all just a bit of fun. Until it isn't. The desire to look better is all too human but are we inexorably moving towards the moment when we lose our grip on what we actually look like?"

"But that was not before the falsely accused man had his name and image widely shared. The alert sent by Citizen contained a photo and was seen by more than 861,000 people. It read: "Citizen is offering a $30,000 reward to anyone who provides information that leads to the arrest of the arson suspect." Citizen told the Guardian in a statement it offered the cash reward "without formal coordination with the appropriate agencies". "Once we realized this error, we immediately retracted the photo and reward offer," it said. "We are actively working to improve our internal processes to ensure this does not occur again. This was a mistake we are taking very seriously.""

"Rather than being "taught" medical knowledge, the AI was asked to learn using unsupervised deep neural networks, known as autoencoders, without being given any medical knowledge. The researchers developed a method for translating the features found by the AI-only numbers initially-into high-resolution images that can be understood by humans."

"Iran's missile attacks on two Iraqi airbases have been accompanied by a spread of online disinformation, falsely labelled images and claims of news sources being hacked, which have added to jitters in the region regarding the attacks."

"An artificial intelligence program has been developed that is better at spotting breast cancer in mammograms than expert radiologists. The AI outperformed the specialists by detecting cancers that the radiologists missed in the images, while ignoring features they falsely flagged as possible tumours."

"The images to be removed-as of posting time they are still accessible, with Google saying it may take some time to update-are user-submitted 360-degree views which allow visitors to Google Maps to virtually explore the monument on "foot"."

"Facebook has blocked and in some cases banned users who tried to share a Guardian article about the site incorrectly blocking an image of Aboriginal men in chains. On Saturday, Guardian Australia reported that Facebook had apologised for incorrectly preventing an Australian user from sharing the photo from the 1890s."

"To Lawmakers and School Administrators: As parents and caregivers, there is nothing more important to us than our children's safety. That's why we're calling for an outright ban on the use of facial recognition in schools. We're concerned about this technology spreading to our schools, infringing on our kids' rights and putting them in danger. We don't even know the psychological impacts this constant surveillance can have on our children, but we do know that violating their basic rights will create an environment of mistrust and will make it hard for students to succeed and grow. The images collected by this technology will become a target for those wishing to harm our children, and could put them in physical danger or at risk of having their biometric information stolen or sold. The well-known bias built into this technology will put Black and brown children, girls, and gender noncomforming kids in specific danger. Facial recognition creates more harm than good and should not be used on the children we have been entrusted to protect. It should instead be immediately banned."

"Inoculating people from misinformation and tackling the "infodemic" are key to fighting the coronavirus. Tang, Taiwan's first transgender government minister and a self-described "civic hacker", has done this by fostering digital democracy: using technology to encourage civic participation and build consensus. Tang has also quashed faked news by implementing a 2-2-2 "humour over rumour" strategy. A response to misinformation is provided within 20 minutes, in 200 words or fewer, alongside two fun images. Early in the pandemic, for example, people were panic-buying toilet paper because of a rumour that it was being used to manufacture face masks; supplies were running out. So, the Taiwanese premier, Su Tseng-chang, released a cartoon of him wiggling his bum, with a caption saying: "We only have one pair of buttocks." It sounds silly, but it went viral. Humour can be far more effective than serious fact-checking."

"The researchers suggest guidelines for efficient regulations, such that AVs can cooperate and significantly enhance traffic flow even when fewer than 5% of the vehicles on the road are autonomous, as seen in the accompanying image. In their article, the researchers describe how AVs should behave on a freeway in order to self-organize into groups that split the traffic flow into controllable clusters. It was observed that it takes less than two minutes to achieve self-organized high-speed, greener and safer traffic flow when starting from congested traffic."

"The Authenticator analyzes videos or images and tells users the percentage chance that they've been artificially manipulated. For videos, the tool can even analyze individual frames in real time."

"There are currently no usable photo data sets of mask-wearing people that can be used to train and evaluate facial recognition systems. The NIST study addressed this problem by superimposing masks (of various colours, sizes and positions) over images of faces, as seen here:"

"As part of her undergraduate research, Alice Xue studied whether a machine could pass a Visual Turing Test by producing images that people cannot tell were made by a machine. Xue trained an algorithm using 2,192 traditional Chinese landscape paintings collected from art museums. The resulting AI-generated paintings were mistaken for being made by humans 55 per cent of the time."

"As adolescents and young adults fled Facebook for platforms like Instagram and Snapchat, Facebook knew its long-term survival depended on winning over that demographic. But the savvy business move had a different, less public price tag. Caught up in recommendations from a powerful algorithm designed to keep them engaged, some teen girls found Instagram worsened their body image, according to a new Wall Street Journal investigation. Users even pinned feelings of increased depression, anxiety, and suicidal thinking on the app."

"As reported by The Independent this week, Microsoft has been granted a patent that allows the company "to make a chatbot using the personal information of deceased people." Under the patent, Microsoft can create an artificial intelligence bot "based on images, voice data, social media posts, electronic message, and more personal information" of a deceased person."