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Nasa cannot yet explain all of the mysterious sightings that have been spotted in the sky, a major new report has said. A panel assembled by the space agency to examine Unidentified Anomalous Phenomena, or UAPs, said that more and better data is required to be able to explain them. :: Follow our live blog on the Nasa report here. Recently, a number of people – primarily military pilots – have said they have spotted unrecognisable objects over the US. While some have been explained as having known natural or human-made causes, some continue to defy explanation. To better understand where those still mysterious phenomena are coming from, the space agency’s panel urged it to come up with “a rigorous, evidence-based, data-driven scientific framework” to better examine and understand them. Some of that can be done by Nasa, it said, and the space agency should play a “prominent role”. But the research must be done across the US government. Nicola Fox, the associate administrator of Nasa’s Science Mission Directorate, says begins the report by saying that UAPs are “one of our planet’s greatest mysteries”. “Observations of objects in our skies that cannot be identified as balloons, aircraft, or natural known phenomena have been spotted worldwide, yet there are limited high-quality observations,” she writes. “The nature of science is to explore the unknown, and data is the language scientists use to discover our universe’s secrets. “Despite numerous accounts and visuals, the absence of consistent, detailed, and curated observations means we do not presently have the body of data needed to make definitive, scientific conclusions about UAP.” Read More Nasa’s UFO study team reveals first ever report: Live updates Information Commissioner urges people to share data to protect at-risk children iPhone 12 is not emitting dangerous radiation, Apple says, amid fears of Europe ban

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Schoolchildren are using artificial intelligence systems to generate indecent images of other kids, experts have warned. The UK’s Safer Internet Centre, or UKSIC, said that schools had reported children trying to make indecent images of their fellow pupils with online AI image generators. The images themselves constitute child sexual abuse material and generating and sharing them could be a crime. But it could also have a drastically harmful impact on other children, or be used to blackmail them, experts warn. Some AI systems include safeguards specifically intended to stop them being used to generate adult images. But others do not, and what safeguards there are may be bypassed in some cases. UKSIC has urged schools to ensure that their filtering and monitoring systems were able to effectively block illegal material across school devices in an effort to combat the rise of such activity. David Wright, UKSIC director, said: “We are now getting reports from schools of children using this technology to make, and attempt to make, indecent images of other children. “This technology has enormous potential for good, but the reports we are seeing should not come as a surprise. “Young people are not always aware of the seriousness of what they are doing, yet these types of harmful behaviours should be anticipated when new technologies, like AI generators, become more accessible to the public. “We clearly saw how prevalent sexual harassment and online sexual abuse was from the Ofsted review in 2021, and this was a time before generative AI technologies. “Although the case numbers are currently small, we are in the foothills and need to see steps being taken now, before schools become overwhelmed and the problem grows. “An increase in criminal content being made in schools is something we never want to see, and interventions must be made urgently to prevent this from spreading further. “We encourage schools to review their filtering and monitoring systems and reach out for support when dealing with incidents and safeguarding matters.” In October, the Internet Watch Foundation (IWF), which forms part of UKSIC, warned that AI-generated images of child sexual abuse are now so realistic that many would be indistinguishable from real imagery, even to trained analysts. The IWF said it had discovered thousands of such images online. Artificial intelligence has increasing become an area of focus in the online safety debate over the last year, in particular, since the launch of generative AI chatbot ChatGPT last November, with many online safety groups, governments and industry experts calling for greater regulation of the sector because of fears it is developing faster than authorities are able to respond to it. Additional reporting by Press Association Read More Bizarre bumps are appearing on Google’s latest smartphone Putin targets AI as latest battleground with West Nasa has received a signal from 10 million miles away Bizarre bumps are appearing on Google’s latest smartphone Putin targets AI as latest battleground with West Nasa has received a signal from 10 million miles away

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After the New Orleans City Council voted to allow the use of facial recognition software to identify criminals more readily and accurately, reports indicate that the technology was ineffective and erroneous. This system went into effect in the summer of 2022, and Politico obtained records of the year’s worth of results. The outlet found that not only was the facial recognition tool vastly incapable of identifying suspects, but it was also disproportionately used on Black people. And from October 2022 to August 2023, almost every facial recognition request regarded a Black suspect. Politico reported that in total, the department made 19 requests. However, two of them were thrown out because police had identified the suspect before the system’s results came back, while two others were rejected because the program’s application didn’t extend to those crimes. So, of the 15 requests made by the New Orleans Police Department, 14 concerned Black suspects, the outlet wrote. On top of this, only six of these requests turned up with matches — and half of those were erroneous — while the remaining nine did not pull up a match. Facial recognition technology has long been controversial. The city of New Orleans previously had banned the use of facial recognition software, which went into effect in 2020 following the death of George Floyd. Then, in 2022, the city reversed course, allowing it to be used. In the wake of the reversal, the ACLU of Louisiana Advocacy Director Chris Kaiser called the new ordinance “deeply flawed.” He not only pointed out research that indicated that “racial and gender bias” affected the program’s accuracy but also highlighted privacy concerns around the data that the program relies on when identifying potential suspects. A previous investigation by The Independent revealed that at least six people around the US have been falsely arrested using facial ID technology; all of them are Black. One such arrest occurred in Louisiana, where the use of facial recognition technology led to the wrongful arrest of a Georgia man for a string of purse thefts. Regardless of the false arrests, at least half of federal law enforcement agencies with officers and a quarter of state and local agencies are using it. At least one council member acknowledged the shortcomings of this technology. “This department hung their hat on this,” New Orleans Councilmember At-Large JP Morrell told Politico. Mr Morrell voted against using facial recognition last year. After seeing the police department’s data and usage, he said the tool is “wholly ineffective and pretty obviously racist.” “The data has pretty much proven that advocates were mostly correct,” Mr Morell continued. “It’s primarily targeted towards African Americans and it doesn’t actually lead to many, if any, arrests.” City councillor Eugene Green, who introduced the measure to lift the ban, holds a different view. He told Politico that he still supports the agency’s use of facial recognition. “If we have it for 10 years and it only solves one crime, but there’s no abuse, then that’s a victory for the citizens of New Orleans.” It is important to note that despite hiccups with the system’s results, the agency’s use has led to any known false arrests. “We needed to have significant accountability on this controversial technology,” council member Helena Moreno, who co-authored the initial ban, told the outlet. New Orleans has a system in place in which the police department is required to provide details of how the tool was used to the City Council on a monthly basis; although Politico disclosed that the department agreed with the council that it could share the data quarterly. When asking about the potential flaws with the facial recognition tool, as outlined by Politico’s reporting, a New Orleans Police Department spokesperson told The Independent that “race and ethnicity are not a determining factor for which images and crimes are suitable for Facial Recognition review. However, a description of the perpetrator, including race, is a logical part of any search for a suspect and is always a criterion in any investigation.” The department spokesperson also emphasised that its investigators do not rely solely on facial recognition, “but it is one of multiple tools that can be used to aid in investigations,” like evidence and/or forensics, adding that officers are trained to conduct “bias-free investigations.” “The lack of arrests in which Facial Recognition Technology was used as a tool, is evidence that NOPD investigators are being thorough in their investigations,” the statement concluded. 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