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"Launched in April, the smartphone app Smittestopp ("infection stop") was set up to collect movement data to help authorities trace the spread of Covid-19, and inform users if they had been exposed to someone carrying the virus. On Friday, the data agency Datatilsynet issued a warning that it would stop the Norwegian Institute of Public Health from handling data collected via Smittestopp."

"Data collection-as Parscale's comment suggested-is perhaps the most powerful thing the Trump 2020 app does. On signing up, users are required to provide a phone number for a verification code, as well as their full name, email address, and zip code. They are also highly encouraged to share the app with their existing contacts. This is part of a campaign strategy for reaching the 40 to 50 million citizens expected to vote for Trump's reelection: to put it bluntly, the campaign says it intends to collect every single one of these voters' cell-phone numbers. This strategy means the app also makes extensive permission requests, asking for access to location data, phone identity, and control over the handset's Bluetooth function."

"The Singapore government is to establish a new Data Security Office and implement a number of measures to better safeguard citizen information, following a series of serious government data leaks.  "

""We know [geofence warrants] are a ubiquitous policing tool, and as long as companies make it possible to comply with these sorts of court orders, they're putting their users at risk," Fox Cahn said. "Whether it's Google or Uber or Lyft or payment companies, by segregating their user data in a way which prevents the aggregated location searches, you can keep that data while preventing compliance with a geofence warrant.""

"In a Copenhagen suburb, a fifth-grade classroom is having its weekly cake-eating session, a common tradition in Danish public schools. While the children are eating chocolate cake, the teacher pulls up an infographic on a whiteboard: a bar chart generated by a digital platform that collects data on how they've been feeling. Organized to display the classroom's weekly "mood landscape," the data shows that the class averaged a mood of 4.4 out of 5, and the children rated their family life highly. "That's great!" the teacher exclaims, raising two thumbs up in the air. She then moves to an infographic on sleep hygiene. Here the data shows the students struggling, and the teacher invites them to think of ways to improve their sleeping habits. After briefly talking among themselves, the children suggest "less screen time at night," "meditation before sleep," and "having a hot bath." They collectively make a commitment to implement these strategies. At next week's cake time, they will be asked whether or not they followed through."

"Sam Smith, of the health data privacy group MedConfidential, said: "This is an utterly appalling case. It's an individual problem that the doctor did this. But it's a systemic problem that they could do it, and that flaws in the way the NHS's data management systems work meant that any doctor can do something like this to any patient."

"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"

Just because you find your data boring yourself, this does not have to be true for everyone else. Data is worth a lot in the right hands and nothing in the wrong ones. Money is worth the same to everyone, data varies in value depending on whether the person who has it is able to merge, match, cluster, compare it.

"TikTok has been fined £12.7m for illegally processing the data of 1.4 million children under 13 who were using its platform without parental consent, Britain's data watchdog said. The information commissioner said the China-owned video app had done "very little, if anything" to check who was using the platform and remove underage users, despite internal warnings the firm was flouting its own terms and conditions."

"This text is the AI's mainsource of information about the world as it is being built, and it influences how it responds to users. If it aces the bar exam, for example, it's probably because its training data included thousands of LSAT practice sites. Tech companies have grown secretive about what they feed the AI. So The Washington Post set out to analyze one of these data sets to fully reveal the types of proprietary, personal, and often offensive websites that go into an AI's training data."

"How that effects systems of governance has yet to be fully explored, but there are cautions. "Algorithms are only as good as the data on which they are based, and the problem with current AI is that it was trained on data that was incomplete or unrepresentative and the risk of bias or unfairness is quite substantial," says West. The fairness and equity of algorithms are only as good as the data-programming that underlie them. "For the last few decades we've allowed the tech companies to decide, so we need better guardrails and to make sure the algorithms respect human values," West says. "We need more oversight.""

"A pilot study by academics at the University of Oxford found some care providers had been using generative AI chatbots such as ChatGPT and Bard to create care plans for people receiving care. That presents a potential risk to patient confidentiality, according to Dr Caroline Green, an early career research fellow at the Institute for Ethics in AI at Oxford, who surveyed care organisations for the study. "If you put any type of personal data into [a generative AI chatbot], that data is used to train the language model," Green said. "That personal data could be generated and revealed to somebody else." She said carers might act on faulty or biased information and inadvertently cause harm, and an AI-generated care plan might be substandard."

"According to the data from Predictive Hire, nearly 55% of companies are investing in recruitment automation and believe that it'll enhance efficiency and enable data-driven judgments. For instance, a resume parser, a technology I work with extensively, helps screen resumes and extract candidate data. For the recruiters who are still in limbo about whether or not to go for augmented AI, I've lined up a few benefits that can be helpful as well as some best practices."

"The problem extends beyond the Pegasus project. Installed in Mexico City is one of the largest urban surveillance systems in the Americas: El Centro de Comando, Control, Cómputo, Comunicaciones y Contacto Ciudadano, better known as El C5. The network, connected to panic buttons and command centers, is spread over 1,485 kilometers with software designed to automatically detect license plates. On top of that, the number of installed cameras grew from 18 million to 65 million between 2018 and 2022, with stated plans to add at least an additional 16 million more. Despite its apparent pre-eminence, issues have arisen with the C5, from false identifications to mishandling of personal data. Technological malfunctions have also been shown to impact the outcomes of criminal cases because of the assumption of objectivity that video surveillance supposedly construes. The sprawling C5 system is dwarfed only by the Titan, an expansive intelligence and security database, both in terms of scale and threat to civil liberties. The software is used by several Mexican state governments to combine location data with other private information, including financial, government, and telecom data, to geolocate individuals across the country in real time. Governmental officials have been criticized for the controversial use of the database to target public figures, but, more problematically, access to Titan-enabled intel can be gained through an underground market, making it a further liability. The extent to which artificial intelligence has been incorporated into the C5 and Titan is still not clear, but the specter of surveillance remains large and is set to cause more worries with the addition of new smart technologies."

"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 a computer science perspective, learning the behaviour of a single user is tough. This is the small data problem; unlike big data, where patterns and trends easily emerge, individual human beings can be unpredictable and can change behaviour, which is not helpful for pattern-hunting algorithms."

"Fear of data-mining of healthcare could be costing as many as 100,000 lives a year, according to Google's Larry Page. Speaking out in response to fears over his company's vast haul of personal information, Page made the case that not only is Google not going too far with collecting and analysing such information - it's not going far enough."

"The survey found that more than half of Americans say they do not want to lose control over their information but also believe this loss of control has already happened. Turow argues that marketers misrepresent Americans' behaviors by categorizing their acceptance of company discounts in exchange for personal data as rational acceptance of "tradeoffs."