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"Take Yoti, for instance: the company provides a range of age verification services, partnering with CitizenCard to offer a digital version of its ID, and working with self-service supermarkets to experiment with automatic age recognition of individuals. John Abbott, Yoti's chief business officer, says the system is already as good as a person at telling someone's age from a video of them, and has been tested against a wide range of demographics - including age, race and gender - to ensure that it's not wildly miscategorising any particular group. The company's most recent report claims that a "Challenge 21" policy (blocking under-18s by asking for strong proof of age from people who look under 21) would catch 98% of 17-year-olds, and 99.15% of 16 year olds, for instance."

"The public is often supportive of the use of such tech: 59% of U.K. adults told a survey they "somewhat" or "strongly" support police use of facial recognition technology in public spaces, and a Pew Research study found 46% of U.S. adults said they thought it was a good idea for society. In China, one study found that 51% of respondents approved of facial recognition tech in the public sphere, while in India, 69% of people said in a 2023 report that they supported its use by the police. But while authorities generally pitch facial recognition as a tool to capture terrorists or wanted murderers, the technology has also emerged as a critical instrument in a very particular context: punishing protesters. "

"But with all of the successes of AI, it's also important to pay attention to when, and how, it can go wrong, in order to prevent future errors. A recent paper by Roman Yampolskiy, director of the Cybersecurity Lab at the University of Louisville, outlines a history of AI failures which are "directly related to the mistakes produced by the intelligence such systems are designed to exhibit." According to Yampolskiy, these types of failures can be attributed to mistakes during the learning phase or mistakes in the performance phase of the AI system."

"The long-running issues of traceability, transparency and enforcement were colourfully illustrated in September 2017 when a group of investigators from the Basel Action Network (BAN) - a non-for-profit group that monitors compliance with the 1989 United Nations Basel Convention on the trade of hazardous wastes - attempted to learn where exactly Australia's e-waste was going. The group fitted 35 old CRT televisions, LED monitors and printers with GPS devices of a special make. Out of this sample the team quickly focused on the fate of three LCD screens dropped at Officeworks storefronts around the Brisbane metro area. Hayley Palmer, BAN's chief operating officer, was on the team that followed where they went afterwards. As the signals left the country, Palmer, her nine-month-old and a colleague tracked the monitors to a warehouse in Hong Kong and then on to an illegal dump-yard in a rural part of Thailand where they talked their way inside."

"The intriguing echo of Eliza in thinking about ChatGPT is that people regard it as magical even though they know how it works - as a "stochastic parrot" (in the words of Timnit Gebru, a well-known researcher) or as a machine for "hi-tech plagiarism" (Noam Chomsky). But actually we do not know the half of it yet - not the CO2 emissions incurred in training its underlying language model or the carbon footprint of all those delighted interactions people are having with it. Or, pace Chomsky, that the technology only exists because of its unauthorised appropriation of the creative work of millions of people that just happened to be lying around on the web? What's the business model behind these tools? And so on. Answer: we don't know."

"Generative artificial-intelligence tools are unproven and expensive to operate, requiring muscular servers with expensive chips that consume lots of power. Microsoft MSFT -0.43%decrease; red down pointing triangle , Google, Adobe and other tech companies investing in AI are experimenting with an array of tactics to make, market and charge for it. Microsoft has lost money on one of its first generative AI products, said a person with knowledge of the figures. It and Google are now launching AI-backed upgrades to their software with higher price tags. Zoom Video Communications ZM 1.79%increase; green up pointing triangle has tried to mitigate costs by sometimes using a simpler AI it developed in-house. Adobe and others are putting caps on monthly usage and charging based on consumption. "A lot of the customers I've talked to are unhappy about the cost that they are seeing for running some of these models," said Adam Selipsky, the chief executive of Amazon.com's cloud division, Amazon Web Services, speaking of the industry broadly. "

"A big leak of data from a Chinese cybersecurity firm has revealed state security agents paying tens of thousands of pounds to harvest data on targets, including foreign governments, while hackers hoover up huge amounts of information on any person or institution who might be of interest to their prospective clients. The cache of more than 500 leaked files from the Chinese firm I-Soon was posted on the developer website Github and is thought by cybersecurity experts to be genuine. Some of the targets discussed include Nato and the UK Foreign Office."

"Exposure to false and inflammatory content is remarkably low, with just 1% of Twitter users accounting for 80% of exposure to dubious websites during the 2016 U.S. election. This is heavily concentrated among a small fringe of users actively seeking it out. Examples: 6.3% of YouTube users were responsible for 79.8% of exposure to extremist channels from July to December 2020, 85% of vaccine-sceptical content was consumed by less than 1% of US citizens in the 2016-2019 period. Conventional wisdom blames platform algorithms for spreading misinformation. However, evidence suggests user preferences play an outsized role. For instance, a mere 0.04% of YouTube's algorithmic recommendations directed users to extremist content. It's tempting to draw a straight line between social media usage and societal ills. But studies rigorously designed to untangle cause and effect often come up short. "

"In one activity, my students drafted a paragraph in class, fed their work to ChatGPT with a revision prompt, and then compared the output with their original writing. However, these types of comparative analyses failed because most of my students were not developed enough as writers to analyze the subtleties of meaning or evaluate style. "It makes my writing look fancy," one PhD student protested when I pointed to weaknesses in AI-revised text. My students also relied heavily on AI-powered paraphrasing tools such as Quillbot. Paraphrasing well, like drafting original research, is a process of deepening understanding. Recent high-profile examples of "duplicative language" are a reminder that paraphrasing is hard work. It is not surprising, then, that many students are tempted by AI-powered paraphrasing tools. These technologies, however, often result in inconsistent writing style, do not always help students avoid plagiarism, and allow the writer to gloss over understanding. Online paraphrasing tools are useful only when students have already developed a deep knowledge of the craft of writing."

"The purpose of handing the economy off to the synths is so that we can do the kinds of tasks that every human would wake up in the morning eager to do. There should not be any human doing a task they find a waste of their talent. If it is a job where productivity matters, a human should not be doing it. Productivity is for robots. Humans should be doing the jobs where inefficiency reigns - art, exploration, invention, innovation, small talk, adventure, companionship. All the productive chores should be handled by the billions of AIs we make. Therefore our task right now - as humans - is to make sure that in the following decades as our biological numbers start to shrink on this planet, that we can repopulate it with a sufficient number of synthetic agents, bots, and robots with sufficient intelligence, grit, perseverance, and moral training to take over the economy in time to keep our living standards rising. We are not replacing existing humans with bots, nor are we replacing unborn humans with bots. Rather we are replacing never-to-be-born humans with bots, and the relationship that we have with those synthetic agents and ems, will be highly mutual. We build an economy around their needs, and propelled by their labor, and rewarding their work, but all of this is in service of our own definition of progress and human success."

""The fact is that an interconnected ecosystem of companies and data brokers, of purveyors of fake news and peddlers of division, of trackers and hucksters just looking to make a quick buck, is more present in our lives than it has ever been," he said. "Technology does not need vast troves of personal data, stitched together across dozens of websites and apps, in order to succeed.""

"Twitter stands a 50% chance of a major outage that could take the site offline during the World Cup, according to a recently departed employee with knowledge of how the company responds to large-scale events. The former employee, who was granted anonymity because of the sensitivity of what was discussed, has knowledge of the workings of Twitter Command Centre, the platform's team of troubleshooters who monitor the site for issues such as traffic spikes and data centre outages."

"It would be a bit glib-and more than a little clichéd-to call this some kind of technological dystopia. Actually, dystopia wouldn't be right, exactly: Dystopian fiction is generally speculative, whereas all of these items and services are real. At the end of September, Amazon announced a suite of tech products in its move toward "ambient intelligence," which Amazon's hardware chief, Dave Limp, described as technology and devices that slip into the background but are "always there," collecting information and taking action against it. This intense devotion to tracking and quantifying all aspects of our waking and non-waking hours is nothing new-see the Apple Watch, the Fitbit, social media writ large, and the smartphone in your pocket-but Amazon has been unusually explicit about its plans. The Everything Store is becoming an Everything Tracker, collecting and leveraging large amounts of personal data related to entertainment, fitness, health, and, it claims, security. It's surveillance that millions of customers are opting in to."

"To find more glyphs, researchers led by archaeologist Masato Sakai of Yamagata University trained an AI program to identify relief-type glyphs in high-resolution drone images taken of the entire region. The program identified 1309 possible geoglyphs, and the team confirmed 303 of them with on-the-ground surveys, almost doubling the number of known geoglyphs of this type, the researchers report today in the Proceedings of the National Academy of Sciences."

"'Fredbot' is one example of a technology known as chatbots of the dead, chatbots designed to speak in the voice of specific deceased people. Other examples are plentiful: in 2016, Eugenia Kuyda built a chatbot from the text messages of her friend Roman Mazurenko, who was killed in a traffic accident. The first Roman Bot, like Fredbot, was selective, but later versions were generative, meaning they generated novel responses that reflected Mazurenko's voice. In 2020, the musician and artist Laurie Anderson used a corpus of writing and lyrics from her late husband, Velvet Underground's co-founder Lou Reed, to create a generative program she interacted with as a creative collaborator. And in 2021, the journalist James Vlahos launched HereAfter AI, an app anyone can use to create interactive chatbots, called 'life story avatars', that are based on loved ones' memories. Today, enterprises in the business of 'reinventing remembrance' abound: Life Story AI, Project Infinite Life, Project December - the list goes on."

"The possibility of digitally interacting with someone from beyond the grave is no longer the stuff of science fiction. The technology to create convincing digital surrogates of the dead is here, and it's rapidly evolving, with researchers predicting its mainstream viability within a decade. But what about the ethics of bereavement-and the privacy of the deceased? Speaking with a loved one evokes a powerful emotional response. The ability to do so in the wake of their death will inevitably affect the human process of grieving in ways we're only beginning to explore."

"A story on the site of the Japanese broadcaster NHK shows how this is playing out in the world of social networks. Online criticism of the behavior of the President of South Korea following the sinking of the ferry MV Sewol prompted the government to set up a team to monitor online activity. That, in its turn, has led people to seek what the NHK article calls "cyber-asylum" -- online safety through the use of foreign mobile messaging services, which aren't spied on so easily by the South Korean authorities. According to the NHK article: Many users have switched [from the hugely-popular home-grown product KakaoTalk] to a German chat app called Telegram. It had 50,000 users in early September. Now 2 million people have signed up."

"n the never-ending calls for Twitter to better police its platform, the words of the philosopher Arthur Schopenhauer from 170 years ago remain relevant: "Every article, even in a newspaper, should be accompanied by the name of its author… so that when a man publicly proclaims through the far-sounding trumpet of the newspaper, he should be answerable for it, at any rate with his honour, if he has any; and if he has none, let his name neutralise the effect of his words… the result of such a measure would be to put an end to two-thirds of the newspaper lies, and to restrain the audacity of many a poisonous tongue.""

"Further, human intelligence is the lever that we have used for millennia to create the world we live in today: science, technology, math, physics, chemistry, medicine, energy, construction, transportation, communication, art, music, culture, philosophy, ethics, morality. Without the application of intelligence on all these domains, we would all still be living in mud huts, scratching out a meager existence of subsistence farming. Instead we have used our intelligence to raise our standard of living on the order of 10,000X over the last 4,000 years. What AI offers us is the opportunity to profoundly augment human intelligence to make all of these outcomes of intelligence - and many others, from the creation of new medicines to ways to solve climate change to technologies to reach the stars - much, much better from here."

"But an analysis by the Office of Information Technology Services issued last month "acknowledges that the risks of the use of (facial recognition technology) in an educational setting may outweigh the benefits." The report, sought by the Legislature, noted "the potentially higher rate of false positives for people of color, non-binary and transgender people, women, the elderly, and children." It also cited research from the nonprofit Violence Project that found that 70% of school shooters from 1980 to 2019 were current students. The technology, the report said, "may only offer the appearance of safer schools.""