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"TikTok moderators have struggled to assess content related to the Israel-Gaza conflict because the platform removed an internal tool for flagging videos in a foreign language, the Guardian has been told. The change has meant moderators in Europe cannot flag that they do not understand foreign-language videos, for example, in Arabic and Hebrew, which are understood to be appearing more frequently in video queues. The Guardian was told that moderators hired to work in English previously had access to a button to state that a video or post was not in their language. Internal documents seen by the Guardian show the button was called "not my language", or "foreign language"."

"From 2016 to 2020, the Australian government operated an automated debt assessment and recovery system, known as "Robodebt," to recover fraudulent or overpaid welfare benefits. The goal was to save $4.77 billion through debt recovery and reduced public service costs. However, the algorithm and policies at the heart of Robodebt caused wildly inaccurate assessments, and administrative burdens that disproportionately impacted those with the least resources. After a federal court ruled the policy unlawful, the government was forced to terminate Robodebt and agree to a $1.8 billion settlement."

"Facebook will rely on users to report fake news despite evidence that suggests users have a difficult time assessing or identifying fake news. Teens seem to be especially vulnerable to fake news. A recent study by researchers at Stanford found that middle and high school students have a difficult time detecting fake news from real news, or detecting bias in tweets and Facebook statuses."

"But when you dive into the code of Meitu, that's where things get interesting. Security researchers have jumped in to assess the photo editing app and found that it was indeed collecting information, including a phone's IMEI number (a handset's unique ID number), and sending it back to remote servers:"

"The algorithm, called Compas (Correctional Offender Management Profiling for Alternative Sanctions), is used throughout the US to weigh up whether defendants awaiting trial or sentencing are at too much risk of reoffending to be released on bail. Since being developed in 1998, the tool is reported to have been used to assess more than one million defendants. But a new paper has cast doubt on whether the software's predictions are sufficiently accurate to justify its use in potentially life-changing decisions."

"The study by US-based thinktank the Technology Policy Institute (TPI) is the first that attempts to quantify the value of online privacy and data. It assessed how much privacy is worth in six countries by looking at the habits of people in the United States, Germany, Mexico, Brazil, Columbia and Argentina."

"YouTube will rely more on machine learning and less on human reviewers during the coronavirus outbreak. Normally, algorithms detect potentially harmful content and send it to human reviewers for assessment. But these are not normal times, and in an effort to reduce the need for employees and contractors to come into an office, YouTube will allow its automated system to remove some content without human review."

"In October, American teachers prevailed in a lawsuit with their school district over a computer program that assessed their performance. The system rated teachers in Houston by comparing their students' test scores against state averages. Those with high ratings won praise and even bonuses. Those who fared poorly faced the sack. The program did not please everyone. Some teachers felt that the system marked them down without good reason. But they had no way of checking if the program was fair or faulty: the company that built the software, the SAS Institute, regards its algorithm a trade secret and would not disclose its workings."

"These capabilities can afford dramatic powers and control over an individual's everyday life. And when this software is used abusively, it can operate as a predator in a person's pocket, magnifying the pervasive surveillance of the spyware operator."

"They then analysed how diverse the individuals' work was at different points in their careers. This was assessed using an artificial intelligence system that was trained, in the case of art, to "recognise" different styles by features such as the brush strokes, shapes and objects in a piece, while in the case of film, it was trained to classify a director's work based on plot and cast information. For science, the system identified different research topics based on the papers cited within a researcher's publications."

"The Italian supreme court ordered prosecutors last month to disclose how the Sky ECC data had been retrieved, arguing that it was impossible to have a fair trial if the accused is unable to access the evidence or assess its reliability and legality, a position supposed by the NGO Fair Trials. Whether prosecutors choose to do so could determine whether the arrests made this week lead to convictions or not. Prosecutors in the UK face a similar dilemma in relation to the hacking of EncroChat, another secret messaging platform that had the added facility of a "panic" button that when pressed would immediately erase the phone's contents."

""As with all technology, there are caveats around making sure that it is used responsibly and not as a licence to cheat, but none of that is insurmountable," he said. In contrast, New York City schools have already banned the use of ChatGPT on all devices and networks because of concerns it will encourage plagiarism. Dr Thomas Lancaster, a computer scientist working at Imperial College London, best known for his research into academic integrity, contract cheating and plagiarism, said it was in many ways a game changer. He said: "It's certainly a major turning point in education where universities have to make big changes."

"Analysis - The need for businesses to adapt to the workplace demands of the Covid-19 pandemic has accelerated the adoption of digital technologies, with clear implications for jobs and workers. But just how much employees worry about the threat of automation - and how real those fears are - can have implications for workplaces beyond the technological change itself. Our new research examined how employees feel about the introduction of "robotic process automation" (RPA) to the workplace. We also looked at how the willingness to embrace these new technologies influenced employees' assessment of the software bots and their work."

"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."

"Imagine having a digital twin that gets ill, and can be experimented on to identify the best possible treatment, without you having to go near a pill or a surgeon's knife. Scientists believe that within five to 10 years, "in silico" trials - in which hundreds of virtual organs are used to assess the safety and efficacy of drugs - could become routine, while patient-specific organ models could be used to personalise treatment and avoid medical complications. Digital twins are computational models of physical objects or processes, updated using data from their real-world counterparts. Within medicine, this means combining vast amounts of data about the workings of genes, proteins, cells and whole-body systems with patients' personal data to create virtual models of their organs - and eventually, potentially their entire body"

"A wave of artificial intelligence-driven misinformation and disinformation that could influence key looming elections poses the biggest short-term threat to the global economy, the World Economic Forum (WEF) has said. In a deeply gloomy assessment, the body that convenes its annual meeting in Davos next week expressed concern that politics could be disrupted by the spread of false information, potentially leading to riots, strikes and crackdowns on dissent from governments."

"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."

"But what is pitched as a more convenient way of looking up information online has prompted scrutiny over how and where these chatbots select the information they provide. Looking into the sort of evidence that large language models (LLMs, the engines on which chatbots are built) find most convincing, three computer science researchers from the University of California, Berkeley, found current chatbots overrely on the superficial relevance of information. They tend to prioritise text that includes pertinent technical language or is stuffed with related keywords, while ignoring other features we would usually use to assess trustworthiness, such as the inclusion of scientific references or objective language free of personal bias."

"Researchers at the University of Reading fooled their own professors by secretly submitting AI-generated exam answers that went undetected and got better grades than real students. The project created fake student identities to submit unedited answers generated by ChatGPT-4 in take-home online assessments for undergraduate courses. The university's markers - who were not told about the project - flagged only one of the 33 entries, with the remaining AI answers receiving higher than average grades than the students."

"A new AI-infused classroom management tool with facial recognition capabilities has garnered attention recently with promises to take attendance, assess the emotional states of students, and monitor classes for distraction, boredom and confusion. But the technology and similar developments have raised numerous legal, ethical, and civil liberties questions similar to those surrounding campus safety surveillance programs and test proctoring programs widely adopted during the COVID pandemic."