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"Kids aged 5 or younger who experience two or more hours of daily screen time are nearly eight times more likely to be diagnosed with focus-related conditions including attention deficit hyperactivity disorder (ADHD), says Michael Manos, director of the ADHD Center for Evaluation and Treatment at the Cleveland Clinic.   That's because these devices likely impact the brain, he explains. Electronics allow for repeated stimulation and immediate gratification every few seconds. And when we become accustomed to such rapid and frequent stimulation, it can be hard to focus when things in the real world aren't as mesmerizing. "Screen time makes the regular world seem rather dull, like watching a plant grow," says Manos. "

"The technology certainly has its flaws. While the system is theoretically designed not to cross some moral red lines - it's adamant that Hitler was bad - it's not difficult to trick the AI into sharing advice on how to engage in all sorts of evil and nefarious activities, particularly if you tell the chatbot that it's writing fiction. The system, like other AI models, can also say biased and offensive things. As my colleague Sigal Samuel has explained, an earlier version of GPT generated extremely Islamophobic content, and also produced some pretty concerning talking points about the treatment of Uyghur Muslims in China."

"For Bejar, the controls in place on social networks like Instagram are not sufficient because they turn "inherently human interactions into an objective assessment". There are too few options for users to hide content or flag comments and DMs and explain why it made them uncomfortable even if it doesn't violate Meta's specific policies, he said. "There's a question of how clearly bad does the content need to be to warrant removal? And that means you set a line somewhere and have to define a criterion where either a computer system or a human can evaluate a piece of content," Bejar said."

"One of the key features introduced is a "Correction" capability in Azure AI Content Safety. This tool aims to address the problem of AI hallucinations - instances where AI models generate false or misleading information. "When we detect there's a mismatch between the grounding context and the response… we give that information back to the AI system," Bird explained. "With that additional information, it's usually able to do better the second try.""

"Google announced on Thursday that it would refine and retool its summaries of search results generated by artificial intelligence, posting a blog explaining why the feature was returning bizarre and inaccurate answers that included telling people to eat rocks or add glue to pizza sauce. The company will reduce the scope of searches that will return an AI-written summary."

""People glamourise them types of things and the smallest thing can be escalated on social media," he said. "A fight can happen between two people and they can squash it [reach a truce], but because the video's out there on social media and it looks from a different perspective like one is losing, pride is going to be hurt so you might go out there and get some sort of revenge and let people know, you're not going to mess with me." It all created anxiety, explained St Clair-Hughes. "The fearmongering on social media puts you in a fight or flight state so when you leave the house now you are either on the front foot or on the back foot. So you step outside ready to do whatever you need to do … It's the subliminals - no one's telling you to pick up a knife and commit violence, it's just the more that you see it …""

"In a follow-up article published this week titled "No, a Remote Amazon Tribe Did Not Get Addicted to Porn," Nicas wrote that the aggregations of his article showed in part that the internet truly is a dark place, in part because of the way the story spread: "The Marubo people are not addicted to pornography. There was no hint of this in the forest, and there was no suggestion of it in The New York Times's article." In this article, Nicas blames the people who aggregated him for sensationalizing his article. That may be true, but Nicas's article is also sensationalist.  While the article does explore the history of Marubo people getting access to motor boats and radios and notes "(Some Marubo already had phones, often bought with government welfare checks, to take photographs and communicate when in a city)," it does not explain that many Marubo people have been using the internet for quite some time, and implies that the problems they are now grappling with are things that the Marubo people hadn't thought about before."

"The aidbot is a chatbot - a type of AI system designed to communicate with its users online - that links to WhatsApp. It is programmed to ask simple questions about the types of aid people require along with their names and locations. This information is then recorded onto a Google spreadsheet which Hania and her team of unpaid volunteers, made up of friends and family, access to distribute aid such as food, blankets, mattresses, medicine and clothes. Hania used her spare time to build the bot using the website Callbell.eu, which is commonly used by businesses to engage with customers on Meta's platforms such as WhatsApp, Instagram and Facebook messenger. She explains that the bot, which is still being used today, makes distributing aid more efficient as it cuts down the amount of time she spends responding to requests for aid over WhatsApp."

"There has also been, he says, "a real push in opinion pieces and popular-press books that are sloppy scientifically but stated so confidently. The ideas in these books are not peer-reviewed." The published studies they cite tend to have small samples and no control groups, and to be based on associations rather than proving cause. "People will say: 'The iPhone was invented in 2007 and Instagram became popular in 2012 and, oh my God, look, tech use has gone up at the same time mental health has gone down!' It seems like common sense - that's why you have this kind of consensus. But it just isn't scientific." In 2023, Przybylski and his colleagues looked at data from almost 12,000 children in the US aged between nine and 12 and found no impact from screen time on functional connectivity ("how different parts of the brain kind of talk to each other", he explains), as measured with fMRI scans while the children completed tasks. They also found no negative impact on the children's self-reported wellbeing. "If you publish a study like we do, where we cross our Ts, we dot our Is, we state our hypotheses before we see the data, we share the data and the code, those types of studies don't show the negative effects that we expect to see.""

"From this fact about language development, Chomsky posited an (abstract) innate module for language learning - not processing. From a neurobiological standpoint, the brain has to be ready to understand language from birth. While there are plenty of examples of language specialization in infants, the precise neural mechanisms are still unknown, but not unknowable. But objects of study become unknowable when scientific terms are misused or misapplied. And this is precisely the danger: conflating AI with human understanding can lead to dangerous consequences."

In the United States, a vicious battle has begun between the leading companies in the 3G market. Their vicious advertising campaigns have no sign of stopping. So what will this do to sales?

The war continues as AT&T has lost their first legal battle again Verison for their advertisements: http://news.cnet.com/8301-30686_3-10401094-266.html?tag=newsEditorsPicksArea.0

Do you think this would be a good article? You suggest that reliability and authenticity are the main issues according to your tagging - make sure you explain this in your annotation...

People in Japan already use it, but people in the United States are expected to use e-mail and mobile phones to transfer money. Will this be reliable and secure, though?

Do you think this article is biased at all - from his comments about "Banking on the mobile phone is relatively safe."? Make sure when you annotate the actual IT System that you are able to explain how it works... you have not tagged it with a social and ethical issue BTW?

"The platform's automated tools may have mistaken the visuals of the burning building for 9/11 footage, according to Vagelis Papalexakis, an assistant professor of computer science and engineering at the University of California, Riverside who studies machine learning used in similar systems."

"NFTs are created on Ethereum's blockchain, which is immutable, meaning it cannot be altered. No one can undo your ownership of an NFT or re-create that exact same one. They're also "permissionless," so anyone can create, buy, or sell an NFT without asking for permission. Finally, every NFT is unique, and can be viewed by anyone. "