And how do I use artificial intelligence without getting in trouble with the state board?
The answers point to a simple conclusion: Artificial intelligence does not replace appraisers.
How Computer Vision Is Trained to “See” What We See Computer vision is a subset of artificial intelligence that enables computers to extract information from pictures.
USPAP Obligations in an Artificial Intelligence Assisted Appraisal While USPAP does not prohibit the use of artificial intelligence, it clearly assigns responsibility for results to the appraiser, not the technology.
Artificial intelligence is not a threat to professional valuation — it’s an opportunity to elevate it.
Aug 31, 2026 · via appraisalbuzz.com
The Federal Attorney-General Michelle Rowland is releasing draft legislation, to tackle new technologies including smart glasses and artificial intelligence.
The proliferation of cheap smart glasses have challenged the relevance of Australia's existing privacy laws.
Meanwhile, tech firms are gobbling up huge reams of data to help train AI models, often with little regard for people's privacy or copyright.
Labor plans to introduce the proposed new laws into parliament by the end of the year.
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Kimberlee Weatherall, Professor of Law at University of Sydney researching technology and the law
Aug 31, 2026 · via abc.net.au
Threads could soon offer another incentive to keep people posting, with a new post recognition screen recently added to the app’s back-end code. As shown in this image posted by app researcher Alessandro Paluzzi, Threads may soon give users a virtual gem for posting highly engaging content, as a means to recognize user contributions, and potentially gamify the process. Threads itself hasn’t offered any insight into this yet, so the reward could merely be visual, or it could include a monetary incentive. Incorporating a monetization element would make it similar to X’s efforts to guide posting behaviors by offering cash prizes for articles, videos and other kinds of posts. The post recognition process also seems similar to X’s Bangers promotion, in which X tried to recognize the most engaging posts in the app. Last November, X announced its Bangers promotion, which was meant to recognize the most engaging posts in the app each month by highlighting them in a dedicated Bangers account. Creators who received recognition also got a special badge that appeared on their profile. The idea, like this concept from Threads, was that this type of additional recognition would motivate the most engaging posters to keep sharing content in the app. But X seemed to lose interest in the concept pretty quickly. The @Bangers account has been dormant since November, after it recognized the first round of bangers. Maybe Threads will be more dedicated to the recognition. It looks like it might be easier because these gems would be awarded based on engagement thresholds, not on external judgment. Either way, it looks like Threads may soon have a new way to celebrate its most popular posts.
Aug 31, 2026 · via socialmediatoday.com
Subscribe to The Informer for monthly expert analysis, and to Events for advance notice of visiting world leaders and distinguished guests. You may unsubscribe from Lowy Institute newsletters at any time. For information on our privacy practices and how to unsubscribe, see our Privacy Policy. The most-pressing world events explained by Lowy Institute experts and global contributors, in your inbox, every Thursday. You may unsubscribe from The Interpreter at any time. For information on our privacy practices and how to unsubscribe, see our Privacy Policy. Artificial intelligence, explained. A staff member works on script refinement, on-location filming, AI post-production, and overseas translation and distribution at a micro drama production company on 21 July 2026 in Jiaxing, China (VCG via Getty Images) A face licensed for one AI advert can be reused indefinitely, and local laws have not caught up with that. Would you accept US$15 to let an AI company use your face in artificial intelligence generated content? In China, this is becoming a real proposition. A recent Rest of World (Opens in new window) article reports that people are paid from between US$15 to US$700 to license their facial likenesses for AI-generated microdramas and advertisements produced for mobile phone viewing. China’s mobile entertainment industry is already enormous – and the use of AI-generated content is growing. More than 95% of microdramas released in China during the first three months of 2026 reportedly used AI somewhere in their production. The industry needs more faces – celebrities and ordinary people – to meet the demand for fast-paced, audience-driven microdrama production (Opens in new window). One response has been straightforward: pay people for their faces. At the same time, regulators and platforms are cracking down on harmful and pirated content (Opens in new window),unauthorised digital likeness (Opens in new window), and homogeneous
Aug 31, 2026 · via lowyinstitute.org
Have you ever woken in the morning steeped in a sense of nonspecific dread? It’s undefined, and even though you have no idea what it’s about, it’s palpable. You recognize that it’s just a feeling, not a fact, yet the heaviness presses. You scan the night’s memories for a bad dream… nothing in jackboots chased you through a field, the mean girls didn’t take your coat. With dreams coming up empty, you look around. Did your psyche manage to bury something horrific, just to give you the mercy of sleep? Did yesterday bring a terminal illness diagnosis? An IRS audit? No. And yet. That foreboding sense, ominous and ill-defined, persists. Writing days don’t always go as planned That’s how I woke up one day last week: Marinating in apprehension worthy of a straightjacket. It was a planned writing day, and I had it all laid out: coffee, pickleball, then up to the rooftop sofa to write under a tattered pergola. The morning dreads smashed that. Scanning for the source of what woke me up scared for the world, I remembered. Of course. It was something I stupidly read right before bed the night before. It was a deep dive on Trump’s total dismantling of U.S. counterintelligence and counterterrorism efforts. Trump has systematically removed U.S. counterterrorism and counterintelligence assets, the professionals tracking communications and operations of adversarial governments and terrorist cells planning bombs, manipulating politics, and sowing dangerous division in the U.S., and reassigned them instead to monitor Trump’s domestic political adversaries. Trump gutted foreign risk monitoring functions under the DOJ, the FBI, and DHS, while deliberately elevating terrorism risks those divisions were created to track. The threat environment from Russia, China, Iran, Venezuela, Mexico, and Cuba is now at an all-time high, and we have a weakened detectionsystem in place.
Aug 30, 2026 · via dailykos.com
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Aug 30, 2026 · via youtube.com
Fair Observer’s operations chief of staff Cheyenne Torres and entrepreneur Dirk Lueth, co-founder and co-CEO of Upland, examine how artificial intelligence is reshaping economies, employment and the media. Lueth explains why today’s generative AI differs from traditional software and traces its development from an academic concept to a widely accessible technology. Although he acknowledges the risks of job displacement, concentrated corporate power and excessive investment, he expects AI to increase productivity and create new opportunities. He believes that human judgment, trusted institutions and energy infrastructure will become increasingly valuable as AI grows more powerful. From rigid rules to statistical models Torres begins by asking what AI actually means. Lueth distinguishes it from traditional software, which relied on programmers writing deterministic rules. Large language models instead analyze vast amounts of human-created material and identify statistical patterns in language. They can generate useful responses across fields ranging from medicine to law, but Lueth stresses that they have no consciousness or human understanding. He also distinguishes chatbots from AI agents. A chatbot usually responds to an individual request, much like a search engine. An agent can perform a continuing assignment, complete multiple steps and act more like a virtual worker. AI itself is not new. Researchers coined the term at Dartmouth College in 1956, but Lueth describes the following decades as a period of overpromising. Technical breakthroughs eventually brought AI closer to public expectations. AlexNet advanced image recognition in 2012, Google researchers introduced the transformer architecture in 2017 and ChatGPT made generative AI accessible to the public in 2022. Expertise gets cheaper Lueth considers AI revolutionary because it spreads knowledge and reduces the cost of accessing expertise. People can now ask an AI system for help with household repairs or basic financial and legal questions instead of immediately consulting a professional. Scientists and
Aug 30, 2026 · via fairobserver.com
The Royal Canadian Mounted Police are testing facial-recognition technology using booking photographs collected by Canadian police agencies as it considers a future national facial-identification service.
The project, disclosed in the RCMP’s departmental plan, says the force will “collaborate with multiple vendors” to review booking photographs collected from law-enforcement agencies across Canada.
According to the plan, competing algorithms will be tested for “quality, performance, accuracy and demographic bias in a Canadian context.” The RCMP says security and privacy protections will be in place to protect the test data.
But the plan does not say which private companies they’re collaborating with, how many booking photographs are being used in these tests, or which police agencies supplied them.
Aug 30, 2026 · via junonews.com
Dorset police have brought in facial recognition technology to spot wanted people Dorset Police have deployed live facial recognition technology for the first time to track down wanted people and sex offenders Dorset Police has deployed live facial recognition technology for the first time, scanning crowds in some of the county’s busiest areas for wanted people and individuals subject to court orders. The technology has been introduced in six designated hotspots across Dorset, including Bournemouth Pier, Bournemouth Square and Boscombe High Street. Live facial recognition, or LFR, uses cameras to analyse faces within a defined “zone of recognition” and compare them with photographs on a police watchlist. An officer operating the system can alert patrol officers nearby when a potential match is identified. Dorset Police’s watchlist contains about 5,000 people, including sex offenders, domestic abuse perpetrators, missing people and individuals subject to court orders. The technology is already used by police forces elsewhere in the country, including at major sporting events and football matches. The Dorset rollout follows a survey of 1,068 residents commissioned by Police and Crime Commissioner David Sidwick. It found that 74% supported the use of LFR, while 23% opposed it. Police say the technology is intended to identify people who may be of interest to officers rather than treat members of the public as suspects. The force said anyone entering an LFR zone would be alerted to its use through signage and stressed that it was operating the system in accordance with national guidance. However, the introduction of biometric surveillance has prompted concerns among critics who argue people should be able to go about their daily lives without being subjected to facial scans, potentially without their knowledge or consent. Dorset Police said the technology should not be viewed as a way of monitoring everyone passing through
Aug 30, 2026 · via hellorayo.co.uk
Dorset police have brought in facial recognition technology to spot wanted people Dorset Police have deployed live facial recognition technology for the first time to track down wanted people and sex offenders Dorset Police has deployed live facial recognition technology for the first time, scanning crowds in some of the county’s busiest areas for wanted people and individuals subject to court orders. The technology has been introduced in six designated hotspots across Dorset, including Bournemouth Pier, Bournemouth Square and Boscombe High Street. Live facial recognition, or LFR, uses cameras to analyse faces within a defined “zone of recognition” and compare them with photographs on a police watchlist. An officer operating the system can alert patrol officers nearby when a potential match is identified. Dorset Police’s watchlist contains about 5,000 people, including sex offenders, domestic abuse perpetrators, missing people and individuals subject to court orders. The technology is already used by police forces elsewhere in the country, including at major sporting events and football matches. The Dorset rollout follows a survey of 1,068 residents commissioned by Police and Crime Commissioner David Sidwick. It found that 74% supported the use of LFR, while 23% opposed it. Police say the technology is intended to identify people who may be of interest to officers rather than treat members of the public as suspects. The force said anyone entering an LFR zone would be alerted to its use through signage and stressed that it was operating the system in accordance with national guidance. However, the introduction of biometric surveillance has prompted concerns among critics who argue people should be able to go about their daily lives without being subjected to facial scans, potentially without their knowledge or consent. Dorset Police said the technology should not be viewed as a way of monitoring everyone passing through
Aug 30, 2026 · via planetradio.co.uk
Salt Lake City, UT - August 29, 2026 - Backstreet Surveillance, a commercial security company serving businesses across the United States, is highlighting mobile surveillance trailers as part of its broader commercial security offering. Based in Salt Lake City, Utah, the company works with organisations that need surveillance coverage across commercial properties, outdoor areas, temporary sites, and locations where permanent infrastructure may not be practical. Backstreet Surveillance offers mobile surveillance trailers that combine camera technology with flexible deployment. These systems can help businesses monitor locations where security needs may change over time. The company pairs these solutions with its wider focus on commercial surveillance systems, security consulting, and expert system design. Flexible Security for Changing Commercial Needs Commercial security requirements can vary widely from one site to another. A warehouse may need coverage around loading areas and entrances. A construction site may require temporary outdoor monitoring. A parking area may need cameras positioned to capture vehicle activity. Other businesses may need surveillance in locations where a permanent installation is difficult or unnecessary. Mobile surveillance trailers offer another option for those situations. Rather than treating every location as a fixed installation, businesses can use mobile systems in areas where coverage may need to move or change. This flexibility can be useful for commercial and industrial properties, construction environments, parking areas, and other large outdoor locations. System Design Remains Central to Commercial Surveillance Backstreet Surveillance approaches mobile surveillance as one part of a larger security strategy. Effective commercial surveillance depends on more than the number of cameras installed. Camera placement, image quality, lighting conditions, connectivity, recording requirements, and the purpose of the system all play a role. The company focuses on expert design and application to help determine how different technologies should work together. Its broader commercial security offering includes high-definition cameras,
Aug 30, 2026 · via mycarrollcountynews.com
As concerns grow over the pervasiveness that is AI-driven surveillance, a German game designer has built a shirt engineered to make AI cameras “blind” to the presence of a human. Berlin-based artist and technologist Simon Weckert’s design features a chaotic mix of colors and shapes printed across the fabric. The goal is not to fool the human eye but to break the outline detection software that artificial intelligence relies on to identify a body. “Digital Camouflage is a garment developed in response to the AI video surveillance planned for Berlin’s Kottbusser Tor,” Weckert notes on his website. “Its pattern is based on a so-called adversarial attack: it targets the features that object-recognition systems look for when searching for a human figure, so the wearer is no longer registered as a person by the machine,” he explains. Kottbusser Tor is a high-traffic Berlin U-Bahn (underground railway) station. It is part of Berlin’s Kreuzberg district and is currently the focal point of urban surveillance debates. Engineering visual confusion The shirt’s combination of pink, orange, and green shapes is meant to prevent detection software from binding the parts of a body into a single, recognizable figure. One could call the digital camouflage pattern a paradox of sorts, as Weckert used a specialized generative AI method known as TC-EGA (Toroidal-Cropping-based Expandable Generative Attack) to run an adversarial loop. Meaning he went through round after round of trial and error before the pattern stopped reading as a person at all. A shirt built to defeat AI, designed with the help of AI, is the kind of detail that would fit right into a William Gibson novel. And what do you know, one already did. Gibson’s 2010 sci-fi and thriller novel, Zero History, imagined something quite similar, where a garment was so aggressively patterned that it
Aug 29, 2026 · via geekspin.co
recovery image.jpg The Hope Dealer Project Aug 29, 2026 9 hrs ago 0 Facebook Twitter WhatsApp SMS Email Print Copy article link Save In recognition of National Recovery Month held each September, The Hope Dealer Project is raising awareness about substance use disorder with help from communities all across the state. The Hope Dealer Project As featured on Facebook Twitter WhatsApp SMS Email Print Copy article link Save × Post a comment as Anonymous Commenter Post As Emoticons [smile] [beam] [wink] [sad] [cool] [innocent] [rolleyes] [whistling] [lol] [huh] [tongue] [love] [sleeping] [yawn] [unsure] [angry] [blink] [crying] [ohmy] [scared] [sleep] [sneaky] [tongue_smile] [thumbdown] [thumbup] [censored] [happybirthday] [ban] [spam] [offtopic] [batman] [ninja] [pirate] [alien] Comment Text × Report × Watch this discussion. Stop watching this discussion. Watch this discussion Get an email notification whenever someone contributes to the discussion Notifications from this discussion will be disabled. (0) comments Welcome to the discussion. Log In Keep it Clean. Please avoid obscene, vulgar, lewd, racist or sexually-oriented language. PLEASE TURN OFF YOUR CAPS LOCK. Don't Threaten. Threats of harming another person will not be tolerated. Be Truthful. Don't knowingly lie about anyone or anything. Be Nice. No racism, sexism or any sort of -ism that is degrading to another person. Be Proactive. Use the 'Report' link on each comment to let us know of abusive posts. Share with Us. We'd love to hear eyewitness accounts, the history behind an article. Post a comment Watch this discussion. Stop watching this discussion. Latest e-Edition The Exponent Telegram Free Special Sections Economy - Progress To view our latest e-Edition click the image on the left. Click here to view more FREE Special Sections Newsletters Success! An email has been sent to with a link to confirm list signup. Error! There was an error processing your request. WV
Aug 29, 2026 · via wvnews.com
3 min read Sen. Bernie Sanders is taking aim at Flock Safety, pledging to introduce legislation targeting the surveillance-camera company as he warned that artificial intelligence is pushing the country toward a "surveillance state." In a lengthy post on X on Wednesday, the Vermont independent framed the fight in stark terms, opening with "STOP FLOCK. STOP AI MASS SURVEILLANCE" and cautioning that unchecked tracking technology risks steering the U.S. toward totalitarianism. Myriad: When will OpenAI release GPT-6? Click to make your prediction. Sanders said Flock, which he described as backed by tech figures Marc Andreessen and Peter Thiel, has installed more than 120,000 AI-powered cameras across the country that scan and record 20 billion vehicles each month in over 6,000 communities. Sanders argued the reach extends into daily life, saying that wherever Flock operates, its cameras log residents dropping children at school, visiting doctors or heading out on dates. He also pointed to newer capabilities, contending Flock's AI can combine images of a person and their vehicle with databases of phone numbers, relatives and court records to determine who someone is and where they're going. He closed by promising to introduce a bill to rein in the technology. The pledge adds a prominent voice to a swelling bipartisan backlash. Opposition to Flock's automated license plate readers has already reached Capitol Hill, where Kentucky Rep. Thomas Massie said he plans legislation to withhold federal funding from agencies that deploy the cameras. Local governments from Los Angeles to Monroe County, Indiana, have suspended or canceled contracts amid privacy concerns, while activists in dozens of states have vandalized or disabled the devices. Atlanta-based Flock, founded in 2017, says its cameras don't use facial recognition and typically retain footage for 30 days. CEO Garrett Langley has argued that critics often soften once they understand
Aug 29, 2026 · via decrypt.co
The visitor did not announce itself with a streak across the sky. It appeared as a faint moving point in four survey images, the kind of evidence that looks insignificant until its positions are fitted to an orbit. ATLAS recorded those images from Río Hurtado in Chile on 1 July 2025. The NASA-funded Asteroid Terrestrial-impact Last Alert System exists to search wide areas of sky for objects that could threaten Earth. This object was safely remote, but its path was far stranger than that of an ordinary asteroid. Within hours, the preliminary orbit was clearly hyperbolic. The object was moving too fast for the Sun to hold it. By the following day it had a formal identity: 3I/ATLAS, only the third confirmed interstellar object after 1I/ʻOumuamua and 2I/Borisov. The story then seemed to accelerate with the comet. It passed the Sun, disappeared into solar glare, re-emerged on the outbound leg and swept past Jupiter’s neighbourhood. Around 20 March 2026, less than nine months after discovery, its distance from the Sun again exceeded Jupiter’s average orbital radius. That crossing was not the end of the Solar System. It was, however, a clean marker in a one-way journey. 3I/ATLAS is not beginning a long ellipse that will bring it back in a century or a millennium. Its orbit is open. Four dots became an orbit The discovery sequence contained four exposures of a crowded field toward the Galactic centre. Between frames, one tiny point changed position. Astronomers measured those coordinates and sent the astrometry to the Minor Planet Center, the international clearing house for small-body observations. One photograph cannot establish an interstellar origin. An orbit must be fitted to positions measured at different times. Follow-up observatories quickly lengthened the arc, while searches through existing survey data found the comet in images taken
Aug 29, 2026 · via scienceblog.com
For decades now many of us have lived in surveillance societies where it’s difficult not to be within the view of a camera. When being noticed depended on the attention span of a minimum wage security guard perhaps this mattered less, but in an age of AI, the vigilance has become always-on. To address this problem the German designer [Simon Weckert] has created a fabric designed to confuse an AI scanning an image, and cause it to not recognize the wearer as a person. The result is perhaps best described as “loud”, a pattern of saturated colors that targets the algorithms used in recognition. The tests he shows appear to work, but perhaps the most obvious thing from them is that he sticks out like the proverbial sore thumb to the eye wearing such a… vibrant garment. Also we wonder for how long it will remain effective, as algorithmic improvements seek to mitigate its attack. This is no doubt only one salvo in what is likely to be an ongoing battle of wits. It’s certainly not the first time we’ve seen things designed to confound an AI. they will tune them to look for exactly that – and put them at the top of the monitor stack.. It’s exploiting the fact that the pattern looks like something else to the machine, so adding it to the list increases the rate of false positives dramatically. False positives lead to false alarms, the need for human interventions, and cost. Suppose the algorithm was tuned to find people in Ghilly suits in public spaces. Sure, you can do that, but now every other bush in the park looks like a person to the computer. Clothes that mimic plants/flowers? Not quite so noticeable as a Ghilly suit but sufficient to confuse the system. No
Aug 29, 2026 · via hackaday.com
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Aug 29, 2026 · via youtube.com
[This is a guest post by Nitya Singhania.] Introduction Recently, the Supreme Court began hearing petitions on the Delhi Police’s use of an Automated Facial Recognition System (AFRS) at the Cockroach Janta Party’s Jantar Mantar protests. Such Facial Recognition Technologies (FRT) generally work by comparing the image of an unidentified person with existing databases, which contain both the individual’s image and a comprehensive set of information about them. This approach has been defended by the State as being necessary for identifying disturbance-spreading elements at the protest. The State claims that FIRs were registered only against 2,873 persons with prior criminal antecedents and students were ‘presumed’ to not have taken part in any violent acts. However, concerns have been raised about the surveillance’s lack of legality, its effect on the right to protest and violations of data privacy. This is the first challenge to the deployment of facial recognition at such a scale against a peaceful protest, in comparison to previous cases which dealt with either targeted surveillance or welfare-based databases. This blog will seek to establish how FRT usage at a protest fails the test of proportionality laid down in KS Puttaswamy vs Union of India (2017) (“Puttaswamy”). Assessing FRT Surveillance Against the Proportionality Test In Puttaswamy, it was held that any interference with the Right to Privacy must meet the three-fold criteria of (a) legality (b) legitimate state aim and (c) proportionality [para 180]. The blog will analyze how the requirements under each of these prongs have been interpreted and how the usage of FRT at the Jantar Mantar protest fails each of these. - Valid Law In Puttaswamy (I), the Court held that there must be a valid ‘law’, like a statute, rule or regulation, to restrict the scope of a fundamental right [para 180]. According to KS
Aug 29, 2026 · via indconlawphil.wordpress.com
Councils are using facial recognition technology in CCTV cameras Published on 29 August 2026 The technology, embedded in new AI CCTV cameras, is being used to target anti-social behaviour By Sarah Wilson for Liberty Investigates and Matt Dathan for The Times UK councils are quietly using facial recognition technology embedded in AI CCTV cameras to crack down on anti-social behaviour, Liberty Investigates can reveal. At least two local authorities are now scanning people’s faces in real time as they move through public spaces, while others have announced plans to do the same. North Tyneside and Preston councils in the north of England are both operating more than 100 facial recognition cameras. While the use of live facial recognition cameras by police has rapidly expanded over the last year, its adoption by councils represents another significant expansion of the technology into everyday life. Facial recognition technology is often embedded in AI CCTV cameras, which are increasingly being deployed by councils. The cameras are also marketed as being able to detect things like weapon detection, “aggressive behaviour” and trespass, with users able to choose which functions to switch on. Some local authorities have not yet used the facial recognition function. Preston Council said it was using the technology to assist “with the deterrence and detection of crime, anti-social behaviour, violence, and aggression”, while a North Tyneside council press release said its cameras would assist with investigations into “anti-social behaviour and other offences”. Both councils have data sharing arrangements with local police and neither consulted with the public before introducing the controversial technology. North Tyneside council announced the deployment of cameras in March. Credit: North Tyneside Council The expansion of facial recognition technology by police has been championed by the UK government. Policing minister Sarah Jones has labelled it the “biggest breakthrough for
Aug 29, 2026 · via libertyinvestigates.org.uk
Puri police launched a special night-time checking operation near the Srimandir on Thursday to enhance security for devotees and tourists. As part of the drive, officers used facial recognition technology and fingerprint verification to check individuals whose movements appeared suspicious in the temple vicinity. According to sources, the operation focused on detecting people with criminal backgrounds and keeping track of suspected anti-social elements in the area. According to police, the technology could help trace individuals from other cities or states who might come to Puri with the intent of committing offences. Technology Used To Identify Suspects Puri SP Prateek Singh said the facial recognition system and fingerprint verification allow police to check individuals’ details against the national criminal database and ascertain whether they have criminal antecedents. During the drive, police screened people who were staying at particular spots for prolonged periods or were found roaming suspiciously near shops, markets, crowded areas and other public places around the Srimandir. Their details were verified as part of the preventive exercise. Focus On Preventive Policing Police said that the operation was not restricted to identifying criminals but also focused on keeping a close watch on the movement of anti-social elements and preventing offences before they occur. Also Read: Queue darshan system to be introduced in Puri Srimandir within 3-4 months Technology-driven and physical checking, along with other preventive measures, would continue around the temple and other sensitive and crowded areas of Puri in the coming days. Police intensified measures to curb theft, snatching and pickpocketing by combining advanced technology with human resources to maintain law and order.
Aug 29, 2026 · via odishatv.in