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"What if facial recognition technology isn't as good at recognising faces as it has sometimes been claimed to be? If the technology is being used in the criminal justice system, and gets the identification wrong, this can cause serious problems for people (see Robert Williams' story in "Facing up to the problems of recognising faces")."

"There's a similar problem in artificial intelligence: The people who develop AI are increasingly having problems explaining how it works and determining why it has the outputs it has. Deep neural networks (DNN)-made up of layers and layers of processing systems trained on human-created data to mimic the neural networks of our brains-often seem to mirror not just human intelligence but also human inexplicability."

"If you've been job hunting recently, chances are you've interacted with a resume robot, a nickname for an Applicant Tracking System, or ATS. In its most basic form, an ATS acts like an online assistant, helping hiring managers write job descriptions, scan resumes and schedule interviews. As artificial intelligence advances, employers are increasingly relying on a combination of predictive analytics, machine learning and complex algorithms to sort through candidates, evaluate their skills and estimate their performance. Today, it's not uncommon for applicants to be rejected by a robot before they're connected with an actual human in human resources. The job market is ripe for the explosion of AI recruitment tools. Hiring managers are coping with deflated HR budgets while confronting growing pools of applicants, a result of both the economic downturn and the post-pandemic expansion of remote work. As automated software makes pivotal decisions about our employment, usually without any oversight, it's posing fundamental questions about privacy, accountability and transparency."

"Most AI programs function like a "black box." "We know exactly what a model does but not why it has now specifically recognized that a picture shows a cat," said computer scientist Kristian Kersting of the Technical University of Darmstadt in Germany to the German-language newspaper Handelsblatt. That dilemma prompted Kersting-along with computer scientists Patrick Schramowski of the Technical University of Darmstadt and Björn Deiseroth, Mayukh Deb and Samuel Weinbach, all at the Heidelberg, Germany-based AI company Aleph Alpha-to introduce an algorithm called AtMan earlier this year. AtMan allows large AI systems such as ChatGPT, Dall-E and Midjourney to finally explain their outputs."

"His immediate concern is that the internet will be flooded with false photos, videos and text, and the average person will "not be able to know what is true anymore." He is also worried that AI technologies will in time upend the job market. Today, chatbots such as ChatGPT tend to complement human workers, but they could replace paralegals, personal assistants, translators and others who handle rote tasks. "It takes away the drudge work," he said. "It might take away more than that." Down the road, he is worried that future versions of the technology pose a threat to humanity because they often learn unexpected behavior from the vast amounts of data they analyze. This becomes an issue, he said, as individuals and companies allow AI systems not only to generate their own computer code but actually to run that code on their own. And he fears a day when truly autonomous weapons - those killer robots - become reality."

"While the systemic brutality used by Colombian police to quell national protests in 2021 was real and is well documented, photos recently used by Amnesty International to highlight the issue were not. The international human rights advocacy group has come under fire for posting images generated by artificial intelligence in order to promote their reports on social media - and has since removed them. The images, including one of a woman being dragged away by police officers, depict the scenes during protests that swept across Colombia in 2021. But any more than a momentary glance at the images reveals that something is off."

"Senior executives at Uber ordered the use of a "kill switch" to prevent police and regulators from accessing sensitive data during raids on its offices in at least six countries, leaked files reveal. The instructions to block authorities from accessing its IT systems were part of a sophisticated global operation by the Silicon Valley company to thwart law enforcement."

"However, the new government under the newly inaugurated Chief Executive John Lee is changing these policies and requiring real-name registration in the app, which some are concerned may pose a privacy threat. The city will also adopt a health code system similar to the one used in mainland China in a bid to curb the latest COVID spike."

"Hu Xijin, a former editor of the ruling Communist Party's Global Times newspaper, warned that the use of the health code for purposes other than epidemic control "damages the authority" of the monitoring system and would chip away at the public's support for it. His post on Weibo, a Twitter-like social media platform, on Monday became a hashtag that was among the most-searched earlier this week, drawing 280 million views."

"Parent "Portals," as utilized in K12 education, are doing significant harm to student development.[1] For those not familiar, Parent Portals are learning management systems that provide "real time" information to parents of school-aged children: "grades, attendance, assignments, and more." On a daily basis parents can monitor their child's performance in school and intervene at home. In theory, this seems like a good thing. But what is the difference between "real time" data and constant surveillance? In my view, not much. What if surveillance is not conducive to education? I'm working this one out. Let's see where it goes."

"Japan isn't the only nation that has struggled to phase out the outdated technology - the U.S. Defense Department only announced in 2019 that it has ended the use of floppy disks, which were first developed in the 1960s, in a control system for its nuclear arsenal. Sony Group Corp. stopped making the disks in 2011 and many young people would struggle to describe how to use one or even identify one in the modern workplace."

"A controversial reform of the federal nature conservation act, pushed through by Olaf Scholz's coalition government earlier this summer, slashes red tape around building windfarms near nesting sites, but banks on AI-driven "anti-collision systems" as one way to minimise such accidents."

"We submitted the grant on time. The next day, while speaking to a friend, I told him, "This week, I wrote my first ChatGPT grant." He replied that he had been doing it for months and that many other scientists are doing the same. A 2023 Nature survey of 1,600 researchers found that more than 25% use AI to help them write manuscripts and that more than 15% use the technology to help them write grant proposals. Some people might see the use of ChatGPT in writing grant proposals as cheating, but it actually highlights a much bigger problem: what is the point of asking scientists to write documents that can be easily created with AI? What value are we adding? Perhaps it is time for funding bodies to rethink their application processes."

"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"

"Sources familiar with how AI-based systems have been integrated into the IDF's operations said such tools had significantly sped up the target creation process. "We prepare the targets automatically and work according to a checklist," a source who previously worked in the target division told +972/Local Call. "It really is like a factory. We work quickly and there is no time to delve deep into the target. The view is that we are judged according to how many targets we manage to generate." A separate source told the publication the Gospel had allowed the IDF to run a "mass assassination factory" in which the "emphasis is on quantity and not on quality". A human eye, they said, "will go over the targets before each attack, but it need not spend a lot of time on them". For some experts who research AI and international humanitarian law, an acceleration of this kind raises a number of concerns."

""If we build highly advanced autonomous AI, we risk creating systems that autonomously pursue undesirable goals", adding that "we may not be able to keep them in check". Other policy recommendations in the document include: mandatory reporting of incidents where models show alarming behaviour; putting in place measures to stop dangerous models from replicating themselves; and giving regulators the power to pause development of AI models showing dangerous behaviours."

"No prominent developer of AI foundation models - a list including companies like OpenAI and Meta - is releasing sufficient information about their potential impact on society, determines a new report from Stanford HAI (Human-Centered Artificial Intelligence). Today, Stanford HAI released its Foundation Model Transparency Index, which tracked whether creators of the 10 most popular AI models disclose information about their work and how people use their systems. Among the models it tested, Meta's Llama 2 scored the highest, followed by BloomZ and then OpenAI's GPT-4. But none of them, it turned out, got particularly high marks."

"Green Light uses machine learning systems to comb through Maps data to calculate the amount of traffic congestion present at a given light, as well as the average wait times of vehicles stopped there. That information is then used to train AI models that can autonomously optimize the traffic timing at that intersection, reducing idle times as well as the amount of braking and accelerating vehicles have to do there. It's all part of Google's goal to help its partners collectively reduce their carbon emissions by a gigaton by 2030."

"Tesla denied liability, saying Lee consumed alcohol before getting behind the wheel. The electric-vehicle maker also claims it was unclear whether the autopilot feature was engaged at the time of the crash. Tesla has been testing and rolling out its autopilot and more advanced full self-driving (FSD) system, which its chief executive, Elon Musk, has touted as crucial to his company's future but has drawn regulatory and legal scrutiny. Tesla won an earlier trial in Los Angeles in April with a strategy of saying that it tells drivers that its technology requires human monitoring, despite the "autopilot" and "full self-driving" names."

"Some of Britain's biggest retailers, including Tesco, John Lewis and Sainsbury's, have been urged to pull out of a new policing strategy amid warnings it risks wrongly criminalising people of colour, women and LGBTQ+ people. A coalition of 14 human rights groups has written to the main retailers - also including Marks & Spencer, the Co-op, Next, Boots and Primark - saying that their participation in a new government-backed scheme that relies heavily on facial recognition technology to combat shoplifting will "amplify existing inequalities in the criminal justice system"."