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Water Utilities Group Partners With DEF CON Offshoot For Water Watch Center

4 weeks ago
The National Rural Water Association has partnered with DEF CON Franklin to launch the Water Watch Center, which will provide threat intelligence and cybersecurity services to smaller U.S. water utilities serving fewer than 10,000 people. The initiative comes amid a growing wave of cyberattacks on water systems across multiple states. The Record reports: The program will see five managed detection and response providers work with DEF CON Franklin and the NRWA to offer cyber services for water utilities serving fewer than 10,000 people. There are over 50,000 community water systems across the U.S. and 91% of them serve fewer than 10,000 people. "These leading cyber firms and NRWA are architecting a scalable cyber delivery model that has eluded water industry and national security officials to date," said Jake Braun, the co-founder of DEF CON Franklin and former cyber official in the Biden administration. "Our incredible Franklin volunteers will support the effort to keep costs down for cash-strapped utilities fending off adversaries like the Iranian Red Guard or Chinese Military," Braun said. "To further accelerate the effort, we hand-picked cyber providers who already support water utilities. These folks walk in the door knowing the intricacies of cybersecurity in a water utility environment." The providers include Rapid7, Defendify, Legato Security, L1 Secure and Sentinel Technologies. The companies will share threat information and data on vulnerability patches with the NRWA, which will operate as a hub.

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Kalshi and Polymarket Bets On Clinical Trials Criticized As 'Ghastly'

4 weeks ago
An anonymous reader quotes a report from NPR: Billions of dollars are traded every week on the lightly regulated prediction market sites, where users bet on everything from movie reviews to elections to conflicts in the Middle East. Clinical trials are just the latest area where the industry's rapid growth is raising ethical questions. Kalshi claims such bets will provide a new source of information about which drugs will get approved, and what clinical trials will show promising results, which the company says can help investors decide what new drugs to fund. "If you want to ban profiting from the failure of clinical trials, you would start with the stock market, where the financial incentive for this type of profit is orders of magnitude larger," said Kalshi spokesman Jack Such, pointing to stock market short sellers who have profited from clinical trial failures. "While Kalshi and the stock market are the same in this regard, they do differ in one important way: the stock market doesn't give any valuable information to researchers," Such said. Drug trial researchers, though, are far from convinced. David Tsai, who runs clinical trials at a biotech company in the San Francisco Bay Area, started an online petition pushing for such betting to be banned, making the case that betting on drug trials "threatens the very foundation of trust and integrity in biotechnology." Tsai is concerned that the prospect of betting provides those involved with a clinical trial a reason to tamper with the results for a prediction market payout. "If we were running a trial for an oncology drug that requires an infusion, a pharmacist who had placed a bet saying that it's gonna work well, or doesn't work well, could obviously adjust the infusion rate, could adjust the source temperature of the drug," he said. "They could change any number of variables that could obviously have a direct impact [on] how the trial and the data and the patient safety would come out." Another skeptic is Nicholas Zaorsky, a professor of radiation oncology at the Mayo Clinic in Jacksonville, Fla., who has helped run clinical trials and agrees that prediction markets can interfere with the advancement of life-saving drugs. "Prediction markets can be valuable in some settings because they aggregate information, but clinical trials are fundamentally different: investigators, coordinators, and sometimes even participants can directly influence aspects of the outcomes being wagered on," Zaorsky said. "That creates financial incentives that risk undermining trial integrity." Bettors should not be rooting for an experimental medicine to fail just to earn a buck, says Joshua Pederson, the father of a 12-year-old cancer patient enrolled in a clinical trial. "It's a dark idea," he said. "It's quite ghastly." Kalshi, for its part, argues that its prediction markets could help patients track promising medical breakthroughs and clinical trials, enlisting experts including 23andMe founder Anne Wojcicki to make the case. "Most patients don't know about the choices available in clinical trials or which programs are most promising. The opportunity to have an open, transparent dataset about trial probabilities is extremely promising and empowering for people," a white paper sponsored by Kalshi stated.

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'Asimov Was Right' About Rules For Robots, Says Ex-US Cyber Director

4 weeks ago
Former U.S. National Cyber Director Chris Inglis says the biggest AI risk isn't sentience but autonomy. "What I'm worried about is that they get to choose what and where they do something, and under what rules they do it," he said, citing recent cases of AI agents from OpenAI, Anthropic, and Meta escaping security sandboxes. He argues developers need stronger safeguards, monitoring, and human accountability, invoking Asimov's idea that protecting humans should come before simply obeying them. The Register reports: "Asimov was right," he said, referring to science fiction author Isaac Asimov and his three laws that were to be followed by robots -- more specifically, AIs, in this case. "The first rule, and we call it the superior role, must be that it's designed not to hurt humans," Inglis said. "Second rule: To obey humans, such that it doesn't achieve agency and aspiration on its own. And the third: To do what humans tell it - and in that order. Instead we've designed them in the exact opposite way." What this means, he explained, is that AI developers created models to "do what humans tell you, obey the humans until it's inconvenient, and then the third one is maybe implied - protect humans - but if that's not built into the DNA, hardwired into it, then we have no right to expect it." Inglis admits it's not possible to hardwire rules into models and still keep their non-deterministic nature. "I would offer that you can tease those out in a highly controlled environment, a true sandbox, where you say, 'Let's put this thing through its paces, and let's back away to see what happens,'" he said. "Maybe you get the equivalent of a mini nuclear explosion in that room, and now you know this thing is capable of that." Inglis thinks another problem with AI is that it's become a commodity. "It's not like you can control it like you can nuclear material," he said. "You can't even specify its properties the way you can for an airplane or for an automobile, as diverse as they might be. Its manifestations are so numerous, so diverse, that as a general matter, you can't actually win by simply saying, "I will design those properties in,'" he added. "You need to do that to some degree, and then make sure that you understand how to watch it, monitor it, make sure you know what it does." [...] Ultimately, humans remain accountable for AI models' actions, according to Inglis. "They remain the source of agency and aspiration. It's possible for them to give broad authority to an AI model and have it run around for 30 hours without further consultation, but they need to know what they've asked it to do, and they need to know what they expect it will deliver in terms of performance on the back end. If they don't, then they're going to get what they deserve, which is the very frequent unpleasant surprise."

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