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"That is why we must demand transparency here, especially in the case of technology that uses human-like interfaces such as language. For any automated system, we need to know what it was trained to do, what training data was used, who chose that data and for what purpose. In the words of AI researchers Timnit Gebru and Margaret Mitchell, mimicking human behaviour is a "bright line" - a clear boundary not to be crossed - in computer software development. We treat interactions with things we perceive as human or human-like differently. With systems such as LaMDA we see their potential perils and the urgent need to design systems in ways that don't abuse our empathy or trust."

"Contemporary AI systems are now becoming human-competitive at general tasks,[3] and we must ask ourselves: Should we let machines flood our information channels with propaganda and untruth? Should we automate away all the jobs, including the fulfilling ones? Should we develop nonhuman minds that might eventually outnumber, outsmart, obsolete and replace us? Should we risk loss of control of our civilization? Such decisions must not be delegated to unelected tech leaders. Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable. This confidence must be well justified and increase with the magnitude of a system's potential effects. OpenAI's recent statement regarding artificial general intelligence, states that "At some point, it may be important to get independent review before starting to train future systems, and for the most advanced efforts to agree to limit the rate of growth of compute used for creating new models." We agree. That point is now."

"A flagship artificial intelligence system designed to predict gun and knife violence before it happens had serious flaws that made it unusable, police have admitted. The error led to large drops in accuracy and the system was ultimately rejected by all of the experts reviewing it for ethical problems."

"According to Derek & Laura Cabrera, "wicked problems result from the mismatch between how real-world systems work and how we think they work". With systems thinking, there is constant testing and feedback between the real world, in all its complexity, and our mental model of it. This openness to test and look for feedback led Dr. Fisman to change his mind on the airborne spread of the coronavirus."

"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 it is. If you run a business, and the FBI or NSA want to turn it into a mass surveillance tool, they believe they can do so, solely on their own initiative. They can force you to modify your system. They can do it all in secret and then force your business to keep that secret. Once they do that, you no longer control that part of your business. You can't shut it down. You can't terminate part of your service. In a very real sense, it is not your business anymore. It is an arm of the vast U.S. surveillance apparatus, and if your interest conflicts with theirs then they win. Your business has been commandeered."

GREAT ARTICLE ON AI "There is some debate about how soon AI will reach human-level general intelligence-the median year on a survey of hundreds of scientists about when they believed we'd be more likely than not to have reached AGI was 204012-that's only 25 years from now, which doesn't sound that huge until you consider that many of the thinkers in this field think it's likely that the progression from AGI to ASI happens very quickly. Like-this could happen: It takes decades for the first AI system to reach low-level general intelligence, but it finally happens. A computer is able understand the world around it as well as a human four-year-old. Suddenly, within an hour of hitting that milestone, the system pumps out the grand theory of physics that unifies general relativity and quantum mechanics, something no human has been able to definitively do. 90 minutes after that, the AI has become an ASI, 170,000 times more intelligent than a human."

"This week, the company released a new form of facial recognition called periocular recognition, which can supposedly identify individuals by just their eyes and eyebrows. Rank One says the new system uses an entirely different algorithm from its standard facial recognition system and is specifically meant for masked individuals. Rank One says it will ship the technology to all of its active customers for free."

"Social media giant, Facebook, announced Tuesday that it is shutting down its facial recognition system which automatically identifies users in photos and videos, citing growing societal concerns about the use of such technology. "Regulators are still in the process of providing a clear set of rules governing its use," said Jerome Pesenti, vice president of artificial intelligence at Facebook, in a blog post. "Amid this ongoing uncertainty, we believe that limiting the use of facial recognition to a narrow set of use cases is appropriate.""

"Google's goal of reducing its climate footprint is in jeopardy as it relies on more and more energy-hungry data centres to power its new artificial intelligence products. The tech giant revealed Tuesday that its greenhouse gas emissions have climbed 48% over the past five years. Google said electricity consumption by data centres and supply chain emissions were the primary cause of the increase. It also revealed in its annual environmental report that its emissions in 2023 had risen 13% compared with the previous year, hitting 14.3m metric tons."

"But as a growing body of research shows, these electronic systems are not perfect. Our new study shows how often these technology-related errors occur and what they mean for patient safety. Often they occur due to programming errors or poor design and are less to do with the health workers using the system."

"In a simulated test staged by the US military, an air force drone controlled by AI killed its operator to prevent it from interfering with its efforts to achieve its mission, an official said last month. AI used "highly unexpected strategies to achieve its goal" in the simulated test, said Col Tucker 'Cinco' Hamilton, the chief of AI test and operations with the US air force, during the Future Combat Air and Space Capabilities Summit in London in May. Hamilton described a simulated test in which a drone powered by artificial intelligence was advised to destroy enemy's air defense systems, and attacked anyone who interfered with that order."

"Facewatch is being connected to realtime facial recognition systems that can be tied into the CCTVs of its 10,000+ participating retailers. If your face is on the blacklist and the system recognises you (or if your face isn't on the blacklist and you generate a false positive), the shopkeeper/security staff will get an alert when you enter their premises and they can make you leave. "

"The robust way to do that, the way that can't be set aside at the whim of a government, is to require systems to be built so as not to collect data about a person. The basic principle is that a system must be designed not to collect certain data, if its basic function can be carried out without that data."

"But BERT, which is now being deployed in services like Google's internet search engine, has a problem: It could be picking up on biases in the way a child mimics the bad behavior of his parents. BERT is one of a number of A.I. systems that learn from lots and lots of digitized information, as varied as old books, Wikipedia entries and news articles."

"First, the problems were manually translated into formal mathematical language for our systems to understand. In the official competition, students submit answers in two sessions of 4.5 hours each. Our systems solved one problem within minutes and took up to three days to solve the others. AlphaProof solved two algebra problems and one number theory problem by determining the answer and proving it was correct. This included the hardest problem in the competition, solved by only five contestants at this year's IMO. AlphaGeometry 2 proved the geometry problem, while the two combinatorics problems remained unsolved."

"The Ukrainian military has used AI-equipped drones mounted with explosives to fly into battlefields and strike at Russian oil refineries. American AI systems identified targets in Syria and Yemen for airstrikes earlier this year. The Israel Defense Forces, meanwhile, used another kind of AI-enabled targeting system to label as many as 37,000 Palestinians as suspected militants during the first weeks of its war in Gaza."

"A recent incident at a company has led to the dismissal of half its HR team after a manager discovered a significant flaw in the applicant tracking system (ATS) used for hiring. This system, intended to improve the recruitment process, was automatically rejecting all job candidates, including the manager's own application."

"So here's where we are: an online system has been running wild for years, generating billions in profits for its participants. We have evidence of its illegitimacy and a powerful law on the statute book that in principle could bring it under control, but which we appear unable to enforce. And the only body that has, to date, been able to exert real control over the aforementioned racket is… a giant private company that itself is subject to serious concerns about its monopolistic behaviour. And the question for today: where is democracy in all this? You only have to ask to know the answer."