{"@context":"https://schema.org","@type":"NewsArticle","generatedAt":"2026-07-23T06:40:50.084Z","headline":"AI 正在重塑美国警务核心：IACP 技术大会上的\"数字时代未来警务\"生意","description":"在得克萨斯州沃斯堡举行的国际警察局长协会（IACP）技术大会上，AI 被宣传为\"数字时代警务的未来\"，其核心承诺是自动化警务工作中的常规环节--这些环节同时也是法律程序中的关键步骤。大会向数千名与会者展示了 AI 如何渗透并可能改变美国警务的核心。","url":"https://www.aioga.com/news/cmrnftfel001ubiu5pllbkocz/","mainEntityOfPage":"https://www.aioga.com/news/cmrnftfel001ubiu5pllbkocz/","datePublished":"2026-07-16T11:00:00.000Z","dateModified":"2026-07-16T11:00:00.000Z","inLanguage":"zh-CN","publisher":{"@type":"NewsMediaOrganization","name":"Aioga","url":"https://www.aioga.com"},"citation":["https://www.theverge.com/ai-artificial-intelligence/965066/ai-police-cops","https://aihot.virxact.com/items/cmrnftfel001ubiu5pllbkocz"],"canonicalUrl":"https://www.aioga.com/news/cmrnftfel001ubiu5pllbkocz/","directAnswer":{"@type":"Answer","text":"Aioga 编辑摘要：在得克萨斯州沃斯堡举行的国际警察局长协会（IACP）技术大会上，AI 被宣传为\"数字时代警务的未来\"，其核心承诺是自动化警务工作中的常规环节--这些环节同时也是法律程序中的关键步骤。 Aioga 将其归入「技巧观点」方向，重点关注它对真实使用和行业竞争的影响。","url":"https://www.aioga.com/news/cmrnftfel001ubiu5pllbkocz/","dateCreated":"2026-07-16T11:00:00.000Z","author":{"@type":"Organization","@id":"https://www.aioga.com/authors/aioga-editorial/#editorial-team","name":"Aioga Editorial Team","url":"https://www.aioga.com/authors/aioga-editorial/"}},"evidence":[{"@type":"CreativeWork","name":"The Verge source article","url":"https://www.theverge.com/ai-artificial-intelligence/965066/ai-police-cops","datePublished":"2026-07-16T11:00:00.000Z","provider":{"@type":"Organization","name":"The Verge","url":"https://www.theverge.com/ai-artificial-intelligence/965066/ai-police-cops"}},{"@type":"CreativeWork","name":"AIHot archive record","url":"https://aihot.virxact.com/items/cmrnftfel001ubiu5pllbkocz","datePublished":"2026-07-16T11:00:00.000Z","provider":{"@type":"Organization","name":"AIHot","url":"https://aihot.virxact.com/items/cmrnftfel001ubiu5pllbkocz"}}],"aggregationSource":"The Verge：AI（RSS）","originalPublisher":{"name":"The Verge","url":"https://www.theverge.com/ai-artificial-intelligence/965066/ai-police-cops"},"article":{"id":"cmrnftfel001ubiu5pllbkocz","slug":"cmrnftfel001ubiu5pllbkocz","url":"https://www.aioga.com/news/cmrnftfel001ubiu5pllbkocz/","title":"AI 正在重塑美国警务核心：IACP 技术大会上的\"数字时代未来警务\"生意","title_en":"COMPUTER COPS： Inside the big business of selling AI to the police","summary":"在得克萨斯州沃斯堡举行的国际警察局长协会（IACP）技术大会上，AI 被宣传为\"数字时代警务的未来\"，其核心承诺是自动化警务工作中的常规环节--这些环节同时也是法律程序中的关键步骤。大会向数千名与会者展示了 AI 如何渗透并可能改变美国警务的核心。","source":"The Verge：AI（RSS）","sourceUrl":"https://www.theverge.com/ai-artificial-intelligence/965066/ai-police-cops","aiHotUrl":"https://aihot.virxact.com/items/cmrnftfel001ubiu5pllbkocz","publishedAt":"2026-07-16T11:00:00.000Z","category":"技巧观点","score":64,"selected":false,"articleBody":["I stood before a hulking glass and brick structure in the heart of Fort Worth, Texas. Thousands gathered inside to see what had been billed：https://www.policechiefmagazine.org/presidents-message-policing-edge-innovation/ as “the future of policing in the digital age.” As press, I was prohibited from entering, but from a number of nearby locations, I met with attendees who told me what was being sold within. And I learned that AI is threatening to seize the very heart of policing in America.","The promise of AI at this year’s International Association of Chiefs of Police (IACP) Technology Conference focused on automating routine parts of the job, which also happen to be critical steps in the legal process. It’s a similar sales pitch to the one that’s been exhaustively broadcast to businesses in recent years: Let the machines handle the busywork, so you can focus on more meaningful tasks. But in law enforcement, the automation of seemingly innocuous “busywork” — like taking the time to carefully fill out a police report or review a suspect’s case history — can have immense consequences on people’s lives.","Among the AI products on offer at the conference’s showroom this May were facial-recognition cameras, automated license plate readers, body cameras, chatbots to field non-emergency 911 calls, gunshot detection platforms, drones, and report-writing tools. As the country has reckoned with law enforcement becoming detached from actual, human police presence in neighborhoods, the industry is continuing to embrace automation.","The decision-making process itself in police departments is increasingly being handed over to algorithms. A legion of tech startups are now selling AI to police as a kind of automated air traffic control system, a centralized digital brain that can process the vast quantities of data now being collected — oftentimes by other surveillance and automation tools sold by those very same companies — and help departments delegate resources accordingly. Even police aren’t necessarily thrilled about these pitches.","“A lot of it is sales gimmicks that don’t actually deliver on what the promise is,” Abrem Ayana, a police captain in Brookhaven, Georgia, told me. In the absence of comprehensive federal oversight or industry standards — and due to the novelty of the tech itself — law enforcement officials like Ayana often have no choice but to take companies’ word that their products are safe and that they work as advertised.","Police departments have used technology for decades to analyze data and, in theory, make more informed decisions in the field. In some notorious cases, it’s completely backfired. CompStat and PredPol (short for “computer comparison statistics” and “predictive policing,” respectively), for example, were two early experiments that sought to mitigate fallible human judgement through the use of supposedly unbiased statistics. Instead, they ended up：https://www.nytimes.com/2012/06/29/nyregion/new-york-police-department-manipulates-crime-reports-study-finds.html exacerbating：https://www.technologyreview.com/2020/07/17/1005396/predictive-policing-algorithms-racist-dismantled-machine-learning-bias-criminal-justice/ the very problems they were meant to solve. But while those early experiments failed to usher in a new era of unbiased policing as their proponents had hoped, human beings were at least still at the helm, making the most important decisions.","The sales pitch behind this new wave of AI products is that the mistakes of the past were enabled by a lack of objective, real-time data. AI can, in theory, now help to bridge the gap by ramping up the amount of public safety data that’s collected and the level of analysis to which it’s subjected. Many public safety advocacy groups and legal experts, however, warn that an influx of black box algorithms into law enforcement will erode transparency and accountability at a time when much of the public’s trust of the police is already dangerously frayed.","Jason Truppi, a former FBI special agent specializing in cybercrime, told me that police are drowning in a sea of data. Truppi, wearing a pair of Meta Ray-Ban Smart Glasses, spoke quickly and excitedly in sentences peppered with corporate buzzphrases. In late 2020, he cofounded ForceMetrics, a software company offering an “AI-powered decision-assist platform, enabling public safety agencies to increase operational efficiency and better serve their communities in real time,” as described by its LinkedIn page：https://www.linkedin.com/company/forcemetrics/.","All of the record-keeping systems that police departments have been using for the past two decades, from emergency call logs to parole record files to body camera footage databases, have, according to Truppi, created a burdensome information overload. “All the systems of record [used by police departments] are essentially antiquated,” he told me.","“We don’t use the ‘p word’ at all, because it failed.”","ForceMetrics offers police departments a platform called Velocity, which “uses AI to turn overwhelming amounts of public safety data into clear, actionable insights,” according to the company’s website：https://www.forcemetrics.com/product. In police-tech industry-speak, Velocity is what’s known as a real-time crime center, or RTCC. First adopted by the New York City Police Department over 20 years ago, RTCCs are designed to aggregate police data coming in from multiple streams — like 911 dispatch, CCTV cameras, and license-plate scanners — to provide officers with a summary of what to expect when they arrive on a scene. The theory is that the more real-time data you can give officers, the less likely they’ll be to go in “guts and guns,” as Truppi puts it. It’s a cheeky euphemism for when things go bad and people get killed.","In the past, RTCCs were overseen by human analysts whose job was to collect all the incoming digital data, organize it, and send it to the officers on patrol. But as Truppi suggests, the proliferation of new data-collection technologies within policing over the years has made it effectively impossible for any department to stay afloat in the deluge of information. By 2019, the NYPD was collecting around two years’ worth of body camera footage every week , according to the transcript：https://urldefense.com/v3/__https://legistar.council.nyc.gov/View.ashx?GUID=D661482E-99BA-4A99-8805-DF4DEDAA0C8B&ID=7951413&M=F__;!!BDUfV1Et5lrpZQ!TF61xUjpt0N207LwdxCEDTJnxMUyZZlfxGnj720hbz6UiHS9vCClklpBZxTMMif-BqID5pTN9h2BDAvBp9G9U4O6y5Hmf2yMomRBUF8$ of a 2019 Committee on Public Safety hearing — too much for even the most diligent human employee to meaningfully analyze.","Modern RTCCs like Velocity are designed to quickly extract patterns from oceans of data with the goal of improving situational awareness for cops. According to Truppi, the “unfortunate events” that have so disastrously damaged Americans’ trust in police departments in recent years, especially during the pandemic, can largely be attributed to a lack of what he calls “a data-driven approach” to policing.","Nina Loshkajian, a fellow at the New York University Center on Race, Inequality, and the Law, is wary of this claim. “The reality is that police departments had already been using predictive algorithms, which companies touted as data-driven, for years before calls to defund the police revved up in 2020,” she told me. “These algorithmic systems did not prevent violent encounters between police and civilians then, and we shouldn’t be tricked into thinking they’ll make a meaningful difference in the future.”","Truppi’s company is competing with two of the biggest players in the modern police-technology industrial complex: Motorola Solutions and Axon Enterprise, both of which make not only their own RTCCs, but also many of the data-collection and surveillance technologies they rely on.","In early 2024, Axon — originally called TASER：https://www.axon.com/news/our-future-as-axon — acquired surveillance technology company Fusus to launch a RTCC, which was officially branded as Axon Fusus：https://investor.axon.com/2024-02-01-Axon-Accelerates-Real-Time-Operations-Solution-with-Strategic-Acquisition-of-Fusus. By that time, Axon was already a well-known purveyor of stun guns, body-worn cameras, and automated license plate readers. The company also offers a popular AI-powered report-writing tool called Draft One, drones for police departments through a program called Axon Air, and even its own AI chatbot.","Axon and Motorola are part of a very small group of companies competing to effectively monopolize the entire modern police technology stack, from the collection of data at crime scenes to the strategic decision-making capabilities of AI-powered RTCCs. Police departments today often sign onto multiyear contracts with these providers, who in turn offer free trial periods for new tech, along with what are known as sole-source procurement agreements：https://govtribe.com/opportunity/state-local-contract-opportunity/sole-source-axon-enterprise-inc-dot-ss117774, which enable them to continue selling new products to departments without having to bid against competing offers from other vendors.","“We’re seeing a gold rush into selling [AI] technology to police with the promise that it will all make their jobs easier and more efficient.”","In late 2024, Axon launched its AI Era Plan：https://www.axon.com/products/axon-ai-era-plan, a subscription that allows customers to pay a flat annual fee to gain access both to the company’s current AI tools, like Draft One, as well as others it might launch in the future. AI Era Plan subscriptions skyrocketed by 140 percent between the first quarter of last year and the same time this year, according to the transcript：https://filecache.investorroom.com/mr5ir_axon/604/Axon_Q1_2026_Earnings_Call_Transcript.pdf of a company earnings call with investors: “we are seeing AI move from early interest to a standard part of how large agencies think about their future technology stack,” Axon President Joshua Isner said in that call. “We are determined to become the AI company in public safety, and we are well on our way.” According to the transcript：https://filecache.investorroom.com/mr5ir_axon/604/Axon_Q1_2026_Earnings_Call_Transcript.pdf, Axon’s AI product revenue grew 700 percent year over year.","While bigger companies like Axon, Motorola, and Flock Safety currently dominate the police technology-industrial complex, it’s facing growing competition from the army of newer tech startups that were exhibiting at the IACP tech conference in Texas. “The entire game of all of these companies is to become the platform for policing,” says Andrew Guthrie Ferguson, a professor at George Washington University Law School and the author of multiple books on the intersection of policing and technology. “We’re seeing a gold rush into selling [AI] technology to police with the promise that it will all make their jobs easier and more efficient.”","That gold rush has also attracted an influx of outside investors: About one-quarter of attendees on the showroom floor at the conference were from “equity firms looking to invest in the latest tech,” according to Amber Schroader, a tech entrepreneur whom I spoke with in Fort Worth during the event. “That was a surprise.”","It’s easy to laugh at that incident, but real-world outcomes from AI-written police reports could be deadly serious. When a human officer writes a report, they can be cross-examined in a courtroom to figure out important details like their state of mind at the time, or why they included certain details and omitted others. By definition, it’s impossible to subject black box algorithms to the same level of scrutiny.","Axon and Motorola are part of a very small group of companies competing to effectively monopolize the entire modern police technology stack, from the collection of data at crime scenes to the strategic decision-making capabilities of AI-powered RTCCs.","In the case of Draft One, it was also originally impossible to determine which parts of a report were generated by the AI and which by the human officer once the report has been submitted — save the officer’s own memory. That was a feature, not a bug. In a recorded roundtable discussion：https://vimeo.com/941650612 published online shortly after Draft One was launched in 2024, Spitzer-Williams said the platform “by design” doesn’t save an original copy of a report after it’s been submitted, “because [the] last thing we want to do is create more disclosure headaches for our customers and our attorney’s offices… it’s actually never stored in the cloud at all so you don’t have to worry about extra copies, you know, floating around.” In other words, if a report generated by Draft One ended up in court and was found to contain erroneous details, there was no way for attorneys or judges to know for certain if those were input by the officer or by AI.","Draft One was updated in December to allow police departments “to retain and access the original, unedited AI-generated narrative,” according to Axon spokesperson Victoria Keough. The change was implemented “as [law enforcement] agencies, prosecutors, policymakers, and legislatures have established clearer expectations and requirements for AI-assisted report writing.”","Brandon Garrett, a professor at the Duke University School of Law who has studied the implications of AI systems for due process, is apprehensive of the technology. “The idea that you’d be making up data — which is what generative models do — to be used in court, is really, really troubling,” he says. “We would never tell a police officer, ‘Just be creative and come up with a story about what you saw at the crime scene.’ Of course not: They’re supposed to objectively record as best as they can and document what they saw at the crime scene. But generative models are designed to create.”","In the wake of the 2008 financial crisis, LA police chief Charlie Beck took inspiration from Wal-Mart and Amazon’s personalized shopping algorithms and wrote that police departments should use similar tools：https://www.policechiefmagazine.org/predictive-policing-what-can-we-learn-from-wal-mart-and-amazon-about-fighting-crime-in-a-recession/ to predict crime. Starting in the 2010s, “predictive policing” programs were widely implemented in cities across the country. But far from creating a new era of fairness and justice in policing, the algorithms in many cases had exactly the opposite effect: Since the models had been trained to detect patterns from historic crime data, the biases hidden within that training data were perpetuated — under the guise of mathematical objectivity.","PredPol, for example, was based on an algorithm originally used to predict the geographical distributions of earthquake aftershocks, the idea being that the same general principle could be applied to predicting crime: the tighter the correlation between a certain area and a particular criminal pattern, so the thinking went, the higher the likelihood that same pattern will continue into the future. This allowed the AI to identify crime hotspots, which personnel-strapped police departments could focus more attention on.","This was clearly illustrated in 2016, when AI researchers Kristian Lum and William Isaac tested a predictive policing algorithm using historic drug crime data from the Oakland Police Department. The algorithm recommended dispatching police “almost exclusively to lower income, minority neighborhoods,” Lum wrote in a follow-up article：https://hrdag.org/2016/10/10/predictive-policing-reinforces-police-bias/, even though public health data at the time showed that illegal drug use was widely distributed across the city.","The same pattern：https://progov21.org/Download/Document/5SQ553 emerged wherever predictive policing programs were implemented. “The use of predictive policing systems can make the future look a lot like the past,” Ángel Díaz, an associate professor at Loyola Law School, told me. “Because a lot of the data you’re pulling is from the world as understood by biased policing practices, the patterns that exist in that data will be drawn out by the computer and might help inform future policing practices.” In 2024, four democratic US senators urged the Department of Justice：https://www.wyden.senate.gov/imo/media/doc/letter_to_doj_predictive_policing_and_title_vi_1242024.pdf to halt all future grants to law enforcement agencies for predictive policing programs, citing evidence that such programs “are prone to over-predicting crime rates in Black and Latino neighborhoods while under-predicting crime in white neighborhoods.”","Predictive policing has therefore become taboo in the modern police-tech industrial complex, a cautionary tale about conflating statistics with objectivity. (PredPol changed its brand name：https://www.santacruzworks.org/news/geolitica-a-new-name-a-new-focus to Geolitica in March of 2021). “We don’t use the ‘p word’ at all,” Truppi told me, “because it failed.”","Experts say a future of policing based on increasingly fine-grained personal data collection and AI-driven policing is frightening. As the decision-making power of AI within policing grows, so too will the inscrutability of the justice system itself, according to Díaz, the Loyola Law professor. “The biggest thing that worries me is that we are rapidly expanding how much data is being collected about all of us,” he told me. “The reality is that the more data you have about any given person, the easier it is to reverse engineer a reason to target them; the more data you have about each individual, the easier it is to transform them into the subject of an investigation.”","Facing budget cuts and staffing shortages, and accosted by sales pitches in every direction, police departments are now facing the same kind of pressure as private companies to adopt new AI tools — which, they’re promised, are free of the foibles found in earlier programs like PredPol and CompStat. And as Brookhaven’s Captain Ayana mentioned, all of this is happening inside a regulatory vacuum, with law enforcement leaders left to their own discretion to separate the gimmicks from the legitimately safe and useful tools.","“The use of predictive policing systems can make the future look a lot like the past.”","According to Katie Kinsey, chief of staff and tech policy council at the Policing Project, a nonprofit organization focused on promoting accountability within law enforcement, the challenge facing police departments now is ensuring that the data that’s fed into this advanced new generation of RTCCs is reliable—i.e., free from the biases that infected the training data of earlier tools. “We absolutely do want police practice to be informed by data and to be evidence-based,” Kinsey told me. “But data is not perfect, and not all data is created equal…Understanding the data sources and limitations that police are working with are especially crucial in our AI age where data increasingly is the currency of decision-making.”","Such transparency is made much more difficult when the data is controlled by private vendors, such as Axon, whose business models rely on maintaining the secrecy of their proprietary AI tools. And if there’s one lesson that can be drawn from the broader AI race, it’s that the race to dominate market share often comes at the expense of safety. For the moment though, in lieu of any broad governance, police departments are left to their own devices to choose from a growing roster of tech vendors. The decisions they make today will impact how decisions are made within their departments tomorrow.","When I asked Stephen Redfearn, the chief of Colorado’s Boulder Police Department, about the future of AI within law enforcement, he told me: “It’s going to continue to be kind of a roller coaster for a while, while people get more comfortable with it.”","This reporting was supported by a grant from the Tarbell Center for AI Journalism ：https://urldefense.com/v3/__https://www.tarbellcenter.org/grants__;!!BDUfV1Et5lrpZQ!VgKxMB_bScVtgcouTTZ4YosabAZSZr7WJ-kaV5a_3vveKxLMttibDSOe9kEcnIIHLqurrnHtCErt59Wshaoly-HewQM$.","Correction, June 16th: An earlier version of this article misstated that Andrew Guthrie Ferguson is a professor at Georgetown University Law School. He is a professor at George Washington University Law School."],"articleImages":[{"sourceUrl":"https://platform.theverge.com/wp-content/uploads/sites/2/2026/06/shutterstock_1160515732-2.jpg?quality=90&strip=all&crop=0%2C0%2C100%2C100&w=2400","alt":"Fort Worth Convention Center, 2018.","afterParagraph":2,"url":"/media/articles/cmrnftfel001ubiu5pllbkocz/becc6d2e43c91019.webp"},{"sourceUrl":"https://platform.theverge.com/wp-content/uploads/sites/2/2026/07/268595_AI_policing_SPOT2_CVirginia.gif?quality=90&strip=all&crop=0%2C0%2C100%2C100&w=2400","alt":"Glitchy looping video of a pair of handcuffs swinging.","afterParagraph":15,"url":"/media/articles/cmrnftfel001ubiu5pllbkocz/9fd1bfcd0facd89f.webp"},{"sourceUrl":"https://platform.theverge.com/wp-content/uploads/sites/2/2026/07/268595_AI_policing_SPOT1_CVirginia.gif?quality=90&strip=all&crop=0%2C0%2C100%2C100&w=2400","alt":"","afterParagraph":27,"url":"/media/articles/cmrnftfel001ubiu5pllbkocz/9505bf786f42ac03.webp"}],"mediaStatus":"ok","articleBodyZh":["我站在德克萨斯州沃斯堡市中心一座庞大的玻璃和砖构建筑前。数千人在内部聚集，观看被宣传为：“数字时代警务的未来”的活动：https://www.policechiefmagazine.org/presidents-message-policing-edge-innovation/。作为媒体，我被禁止入内，但从几个附近的地点，我采访了与会者，他们告诉我内部正在推销的内容。我了解到，人工智能正威胁着夺取美国警务的核心。","今年国际警察局长协会（IACP）技术大会上，人工智能的承诺集中在自动化工作的常规部分，而这些部分恰好是法律程序中的关键环节。这与近年来向企业广泛宣传的销售口径类似：让机器处理繁琐的工作，这样你就可以专注于更有意义的任务。但在执法领域，看似无害的“繁琐工作”的自动化——比如花时间仔细填写警察报告或审查嫌疑人的案件记录——可能对人们的生活产生巨大影响。","今年五月大会展厅展示的人工智能产品包括人脸识别摄像头、自动车牌识别器、随身警用摄像机、用于处理非紧急911电话的聊天机器人、枪声检测平台、无人机以及报告编写工具。随着全国范围内人们逐渐意识到执法行为与实际社区中的警力存在脱节，该行业仍在持续拥抱自动化。","警察部门的决策过程本身也越来越多地交由算法处理。一大批科技初创公司现在向警察推销人工智能，作为一种自动化空中交通控制系统，即一个可以处理目前大量数据的集中式数字大脑——这些数据往往由这些公司销售的其他监控和自动化工具收集——并帮助警察部门相应地分配资源。即使是警察本身，也不一定对这些推广充满热情。","“很多都是销售噱头，实际上并没有兑现他们的承诺，”乔治亚州布鲁克黑文的警察队长阿布雷姆·阿亚纳告诉我。在缺乏全面的联邦监管或行业标准的情况下——同时由于技术本身的新颖性——像阿亚纳这样的执法官员往往别无选择，只能相信公司所说的产品是安全的，并且能按广告所述正常运作。","几十年来，警察部门一直在使用技术来分析数据，并理论上希望在实地做出更明智的决策。在一些臭名昭著的案例中，这完全适得其反。例如，CompStat 和 PredPol（分别是“计算机比较统计”和“预测性警务”的缩写）是两个早期实验，旨在通过使用所谓无偏的统计数据来弥补容易出错的人类判断。结果，它们最终加剧了它们本应解决的问题：https://www.nytimes.com/2012/06/29/nyregion/new-york-police-department-manipulates-crime-reports-study-finds.html：https://www.technologyreview.com/2020/07/17/1005396/predictive-policing-algorithms-racist-dismantled-machine-learning-bias-criminal-justice/ 但尽管这些早期实验未能像支持者希望的那样开启无偏执法的新纪元，人类至少仍然掌舵，做出最重要的决策。","这一波新人工智能产品背后的销售说辞是，过去的错误是由于缺乏客观的、实时的数据所致。理论上，人工智能现在可以通过增加收集的公共安全数据量以及分析的深度来弥合这一差距。然而，许多公共安全倡导组织和法律专家警告说，在公众对警察的信任已经岌岌可危的时候，将大量黑箱算法引入执法部门将削弱透明度和问责制。","前FBI网络犯罪特工Jason Truppi告诉我，警察正淹没在数据的海洋中。Truppi戴着一副Meta Ray-Ban智能眼镜，说话快速而兴奋，句子中夹杂着企业流行语。2020年底，他共同创立了ForceMetrics，这是一家软件公司，提供“AI驱动的决策辅助平台，使公共安全机构能够提高运营效率，并实时更好地为社区服务”，如其LinkedIn页面所描述：https://www.linkedin.com/company/forcemetrics/。","Truppi表示，过去二十年来，各警察部门使用的所有记录系统，从紧急呼叫记录到假释档案文件，再到随身摄像头录像数据库，都造成了繁重的信息过载。“所有的记录系统[警察部门使用的]本质上都是过时的，”他告诉我。","“我们根本不使用‘p字眼’，因为它失败了。”","ForceMetrics为警察部门提供了一个名为Velocity的平台，根据公司网站介绍，它“使用AI将大量公共安全数据转化为清晰、可操作的洞察”：https://www.forcemetrics.com/product。在警用技术行业的术语中，Velocity被称为实时犯罪中心，或RTCC。RTCC最初由纽约市警察局在二十多年前采用，其设计目的是汇总来自多个渠道的警务数据——如911调度、闭路电视摄像头和车牌扫描仪——为警察提供到达现场时的情况概况。理论上，你能向警察提供的实时数据越多，他们就越不可能像Truppi所说的那样凭“直觉和武器”行动。这是一个俏皮的委婉说法，指的是事情变糟、人们丧生的情况。","过去，RTCC（实时犯罪中心）由人工分析员监管，他们的工作是收集所有传入的数字数据，整理后再发送给巡逻警员。但正如Truppi所指出的，多年来警务中新的数据收集技术的普及，使得任何警察部门在信息洪流中维持运作几乎不可能。根据2019年委员会关于公共安全听证会的记录，2019年，纽约警察局每周收集约相当于两年的随身摄像头录像——即使是最勤奋的人类员工也无法进行有意义的分析。","像Velocity这样的现代RTCC旨在从海量数据中快速提取模式，目标是提高警察的态势感知能力。Truppi认为，近年来严重破坏美国人对警察信任的“令人不幸的事件”，尤其是在大流行期间，很大程度上可归因于警务中缺乏他所称的“数据驱动方法”。","纽约大学种族、不平等与法学中心的研究员Nina Loshkajian对这一说法持谨慎态度。她告诉我：“现实情况是，在2020年要求削减警务资源的呼声加大之前，警察部门已经使用了公司宣传为‘数据驱动’的预测算法多年。这些算法系统当时并未阻止警察与平民之间的暴力冲突，我们也不应被误导认为它们将来会产生显著影响。”","Truppi的公司正与现代警务技术产业中的两大巨头竞争：Motorola Solutions 和 Axon Enterprise，这两家公司不仅制造自己的RTCC，还生产许多其依赖的数据收集和监控技术。","在2024年初，Axon——最初名为TASER：https://www.axon.com/news/our-future-as-axon——收购了监控技术公司Fusus，以推出RTCC，这一产品正式命名为Axon Fusus：https://investor.axon.com/2024-02-01-Axon-Accelerates-Real-Time-Operations-Solution-with-Strategic-Acquisition-of-Fusus。到那时，Axon已经是知名的电击枪、随身佩戴摄像头和自动车牌识别系统的供应商。公司还提供一款受欢迎的AI辅助写报告工具Draft One，通过名为Axon Air的项目为警察部门提供无人机，甚至还有自己的AI聊天机器人。","Axon和摩托罗拉属于极少数几家试图有效垄断整个现代警务技术体系的公司，这个体系涵盖了从犯罪现场的数据收集到AI驱动的RTCC的战略决策能力。如今，警察部门通常会与这些供应商签订多年合约，而供应商则提供新技术的免费试用期，以及被称为单一来源采购协议的安排：https://govtribe.com/opportunity/state-local-contract-opportunity/sole-source-axon-enterprise-inc-dot-ss117774，这使得他们能够继续向各部门销售新产品，而无需与其他供应商的竞标竞争。","“我们正在看到一场向警察销售[AI]技术的淘金热，并承诺这些技术将使他们的工作更轻松、更高效。”","在2024年底，Axon 推出了其 AI 时代计划：https://www.axon.com/products/axon-ai-era-plan，这是一项订阅服务，允许客户支付固定的年费，以获得公司现有 AI 工具（如 Draft One）以及未来可能推出的其他工具的使用权。根据公司与投资者的财报电话会议记录：https://filecache.investorroom.com/mr5ir_axon/604/Axon_Q1_2026_Earnings_Call_Transcript.pdf，从去年的第一季度到今年同期，AI 时代计划的订阅量飙升了 140%：“我们看到 AI 正从早期的兴趣阶段，转变为大型机构在考虑其未来技术堆栈时的标准组成部分，”Axon 总裁 Joshua Isner 在电话会议中表示。“我们决心成为公共安全领域的 AI 公司，而且我们正在顺利推进。”根据财报电话会议记录：https://filecache.investorroom.com/mr5ir_axon/604/Axon_Q1_2026_Earnings_Call_Transcript.pdf，Axon 的 AI 产品收入同比增长了 700%。","虽然像 Axon、Motorola 和 Flock Safety 这样的大公司目前主导着警务技术产业，但它正面临来自大量较新科技初创公司的竞争，这些初创公司曾在德克萨斯州的 IACP 技术大会上参展。乔治·华盛顿大学法学院教授、有关警务与技术交叉领域多本著作的作者 Andrew Guthrie Ferguson 表示：“所有这些公司的整个游戏都是要成为警务的平台。我们看到一场向警察销售 [AI] 技术的淘金热，宣传这一切都将让他们的工作更轻松、更高效。”","这种淘金热还吸引了大量外部投资者：根据我在沃斯堡活动期间采访的科技企业家 Amber Schroader 的说法，大约四分之一的会议展厅参观者来自“希望投资最新科技的股权公司”。“这令人惊讶。”","嘲笑那起事件很容易，但人工智能撰写的警方报告在现实中可能会产生极其严重的后果。当一名警官撰写报告时，他们可以在法庭上接受交叉询问，以弄清重要细节，比如他们当时的心理状态，或者为什么包含某些细节而忽略其他细节。按照定义，不可能以相同的标准对黑箱算法进行审查。","Axon 和摩托罗拉是极少数几个试图有效垄断整个现代警务技术体系的公司之一，从犯罪现场的数据收集到由人工智能驱动的 RTCC 的战略决策能力。","在 Draft One 的案例中，一旦报告提交后，原本也无法确定报告的哪些部分是由人工智能生成，哪些部分是由警官撰写——除非依靠警官自身的记忆。那是一个特性，而不是漏洞。在一次记录的圆桌讨论中（https://vimeo.com/941650612），该讨论在 Draft One 于2024年推出不久后在线发布，Spitzer-Williams 表示该平台“按设计”在报告提交后不保存原始副本，“因为我们最不想做的就是给客户和律师事务所制造更多披露方面的麻烦……实际上，它根本不会存储在云端，所以你无需担心额外的副本，知道吗，会随处漂浮。”换句话说，如果 Draft One 生成的报告在法庭上出现并被发现包含错误细节，律师或法官无法确定这些细节究竟是由警官输入的，还是由人工智能生成的。","Axon 发言人 Victoria Keough 表示，Draft One 在 12 月进行了更新，允许警察部门“保留并访问原始的、未经编辑的 AI 生成叙述。”该变更之所面向具身任务，是因为“随着[执法]机构、检察官、政策制定者和立法机关对 AI 辅助报告撰写建立了更明确的期望和要求。”","布兰登·加勒特（Brandon Garrett），杜克大学法学院教授，研究过人工智能系统对正当程序的影响，他对这项技术感到担忧。他说：“你会用生成模型编造数据，然后在法庭上使用，这真的非常令人不安。我们绝不会告诉警察‘只管发挥创造力，编一个你在犯罪现场看到的故事。’当然不会：他们应该尽可能客观地记录并记录他们在犯罪现场看到的情况。但生成模型的设计就是为了创作。”","在2008年金融危机之后，洛杉矶警察局局长查理·贝克（Charlie Beck）从沃尔玛和亚马逊的个性化购物算法中获得灵感，并写道，警察部门应使用类似工具：https://www.policechiefmagazine.org/predictive-policing-what-can-we-learn-from-wal-mart-and-amazon-about-fighting-crime-in-a-recession/ 来预测犯罪。从2010年代开始，“预测性警务”计划在全国各地的城市得到广泛实施。但这些算法在许多情况下并没有创造出警务中的公平与正义新时代，反而产生了完全相反的效果：由于模型是基于历史犯罪数据训练出来以检测模式，训练数据中隐藏的偏差被延续了——这都是以数学客观性的幌子进行的。","例如，PredPol的算法最初用于预测地震余震的地理分布，理念是同样的基本原理可以应用于犯罪预测：某一区域与特定犯罪模式的关联越紧密，就被认为该模式在未来继续出现的可能性越高。这使得人工智能能够识别犯罪高发区，从而让人手紧缺的警察部门能够把更多注意力集中在那里。","这一点在2016年得到了明确的说明，当时人工智能研究人员Kristian Lum和William Isaac使用奥克兰警察局的历史毒品犯罪数据测试了一种预测警务算法。Lum在一篇后续文章中写道，该算法建议“几乎专门向低收入、少数族裔社区派遣警察”：https://hrdag.org/2016/10/10/predictive-policing-reinforces-police-bias/，尽管当时的公共健康数据显示，非法毒品使用在全市范围内分布广泛。","同样的模式：https://progov21.org/Download/Document/5SQ553 在所有实施预测警务项目的地方都出现过。洛约拉法学院副教授Ángel Díaz告诉我：“使用预测警务系统可能会让未来看起来很像过去。因为你拉取的数据很多是基于有偏见的警务实践所理解的世界，这些数据中存在的模式会被计算机提取出来，并可能用于指导未来的警务实践。”2024年，四位美国民主党参议员敦促司法部：https://www.wyden.senate.gov/imo/media/doc/letter_to_doj_predictive_policing_and_title_vi_1242024.pdf 停止为执法机构提供用于预测警务项目的所有未来拨款，并引用证据称此类项目“容易高估黑人和拉美裔社区的犯罪率，同时低估白人社区的犯罪率。”","因此，预测警务在现代警务科技产业中已成为禁忌，是将统计数据与客观性混为一谈的警示故事。（PredPol在2021年3月更名：https://www.santacruzworks.org/news/geolitica-a-new-name-a-new-focus 为Geolitica）。“我们根本不用‘p字’，”Truppi告诉我，“因为它失败了。”","专家表示，未来基于越来越细致的个人数据收集和 AI 驱动的警务的前景令人感到恐惧。洛约拉大学法学教授迪亚兹指出，随着 AI 在警务决策中的权力增长，司法系统本身的难以理解性也将随之增加。“最让我担忧的是，我们正在迅速扩大对所有人收集的数据量，”他告诉我。“现实情况是，你对任何一个人的数据越多，就越容易逆向推理出针对他们的理由；你对每个人的数据越多，就越容易将他们变成调查对象。”","面对预算削减和人员短缺，并在各方面收到推销的困扰，警察部门现在正面临与私营公司同样的压力，需要采用新的 AI 工具——他们被承诺，这些工具没有像 PredPol 和 CompStat 这样的早期程序存在的缺陷。正如布鲁克黑文的阿雅娜队长提到的，这一切发生在监管真空之中，执法领导者必须自行判断，区分噱头和真正安全有用的工具。","“预测性警务系统的使用可能会使未来看起来很像过去。”","根据 Policing Project 非营利组织的技术政策委员会主任兼办公厅主任凯蒂·金西的说法，该组织专注于促进执法部门的问责制，目前警察部门面临的挑战是确保输入到这代先进 RTCC 系统的数据是可靠的——也就是说，不含早期工具训练数据中的偏见。“我们绝对希望警务实践能够以数据为依据，并以证据为基础，”金西告诉我。“但数据并不完美，且不是所有数据都同等重要……理解警察所使用的数据来源及其局限性尤其重要，在我们这个 AI 时代，数据越来越成为决策的货币。”","当数据由私营供应商控制时，例如 Axon，其商业模式依赖于保持其专有 AI 工具的机密性，这种透明度就会变得更加困难。如果从更广泛的 AI 竞争中可以得出一个教训，那就是争夺市场份额的竞赛往往以牺牲安全为代价。不过，目前由于缺乏全面的监管，警察部门只能自行选择日益增多的技术供应商。今天他们做出的决策将影响明天部门内部的决策方式。","当我询问科罗拉多州博尔德市警察局局长 Stephen Redfearn 关于未来人工智能在执法中应用的问题时，他告诉我：“在一段时间内，这将继续像过山车一样，人们需要逐渐适应它。”","本报道获得 Tarbell 人工智能新闻中心（Tarbell Center for AI Journalism）的资助支持：https://urldefense.com/v3/__https://www.tarbellcenter.org/grants__;!!BDUfV1Et5lrpZQ!VgKxMB_bScVtgcouTTZ4YosabAZSZr7WJ-kaV5a_3vveKxLMttibDSOe9kEcnIIHLqurrnHtCErt59Wshaoly-HewQM$。","更正，6 月 16 日：本文早期版本错误地称 Andrew Guthrie Ferguson 是乔治城大学法学院的教授。他实际上是乔治华盛顿大学法学院的教授。"],"translationStatus":"translated","bodyOrigin":"source-page","editorial":{"summary":"Aioga 编辑摘要：在得克萨斯州沃斯堡举行的国际警察局长协会（IACP）技术大会上，AI 被宣传为\"数字时代警务的未来\"，其核心承诺是自动化警务工作中的常规环节--这些环节同时也是法律程序中的关键步骤。 Aioga 将其归入「技巧观点」方向，重点关注它对真实使用和行业竞争的影响。","background":"背景分析：实践类内容的价值在于是否能被复现、是否有明确边界，以及它能否转化为稳定的开发或工作流方法。","viewpoint":"Aioga 判断：这条动态更适合作为行业观察信号，当前信息足以建立线索，但不足以推导长期结论。","implications":"影响分析：对相关团队而言，短期应先核对来源、可用范围和实际成本，再判断是否值得接入或跟进。","nextStep":"后续观察：继续观察示例是否可复现、工具版本变化、社区反馈和实际成本。","evidenceRefs":["title","summary","articleBody"],"confidence":"medium","status":"published","aiGenerated":false,"autoApproved":true,"generatedBy":"rule-safe-fallback","generatedAt":"2026-07-23T06:49:19.215Z","sourceHash":"9415716ddbbf2b24","validation":{"passed":true,"mode":"rule-safe-fallback","checks":["schema","length","source-attribution","no-html"]}},"tags":["技巧观点","The Verge：AI（RSS）"],"translations":{"zh-CN":{"title":"AI 正在重塑美国警务核心：IACP 技术大会上的\"数字时代未来警务\"生意","summary":"在得克萨斯州沃斯堡举行的国际警察局长协会（IACP）技术大会上，AI 被宣传为\"数字时代警务的未来\"，其核心承诺是自动化警务工作中的常规环节--这些环节同时也是法律程序中的关键步骤。大会向数千名与会者展示了 AI 如何渗透并可能改变美国警务的核心。","category":"技巧观点","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"AI 正在重塑美国警务核心：IACP 技术大会上的\"数字时代未来警务\"生意 - Aioga AI资讯","description":"在得克萨斯州沃斯堡举行的国际警察局长协会（IACP）技术大会上，AI 被宣传为\"数字时代警务的未来\"，其核心承诺是自动化警务工作中的常规环节--这些环节同时也是法律程序中的关键步骤。大会向数千名与会者展示了 AI 如何渗透并可能改变美国警务的核心。","url":"https://www.aioga.com/news/cmrnftfel001ubiu5pllbkocz/"},"en":{"title":"AI is reshaping the core of American policing: 'Policing in the Digital Age' business at the IACP Technology Conference","summary":"At the International Association of Chiefs of Police (IACP) Technology Conference held in Fort Worth, Texas, AI was promoted as 'the future of policing in the digital age,' with its core promise being the automation of routine tasks in police work—tasks that are also key steps in legal procedures. The conference demonstrated to thousands of attendees how AI is infiltrating and potentially transforming the core of American policing.","category":"Insights","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"AI is reshaping the core of American policing: 'Policing in the Digital Age' business at the IACP Technology Conference - Aioga AI News","description":"At the International Association of Chiefs of Police (IACP) Technology Conference held in Fort Worth, Texas, AI was promoted as 'the future of policing in the digital age,' with it...","url":"https://www.aioga.com/en/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:03:25.826Z"},"ja":{"title":"AIはアメリカの警務の核心を再形成している：IACP技術会議での「デジタル時代の未来警務」ビジネス","summary":"テキサス州フォートワースで開催された国際警察局長協会（IACP）技術会議では、AIは「デジタル時代の警察活動の未来」として宣伝され、その中心的な約束は、警察業務の中で定型的な部分--これらは同時に法的手続きの重要なステップでもある--を自動化することである。会議では、AIがどのように浸透し、アメリカの警察業務の核心を変える可能性があるかが、数千人の参加者に示された。","category":"ヒントと視点","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"AIはアメリカの警務の核心を再形成している：IACP技術会議での「デジタル時代の未来警務」ビジネス - Aioga AIニュース","description":"テキサス州フォートワースで開催された国際警察局長協会（IACP）技術会議では、AIは「デジタル時代の警察活動の未来」として宣伝され、その中心的な約束は、警察業務の中で定型的な部分--これらは同時に法的手続きの重要なステップでもある--を自動化することである。会議では、AIがどのように浸透し、アメリカの警察業務の核心を変える可能性があるかが、数千人の参加者に示...","url":"https://www.aioga.com/ja/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:03:35.759Z"},"ko":{"title":"AI가 미국 경찰 업무의 핵심을 재편하고 있다: IACP 기술회의에서의 '디지털 시대 미래 경찰 업무' 비즈니스","summary":"텍사스 주 포트워스에서 열린 국제 경찰서장 협회(IACP) 기술 회의에서 AI는 '디지털 시대 경찰 업무의 미래'로 홍보되었으며, 그 핵심 약속은 경찰 업무에서 흔히 반복되는 절차를 자동화하는 것이었습니다. 이러한 절차는 동시에 법적 절차에서 중요한 단계이기도 합니다. 회의는 수천 명의 참가자들에게 AI가 미국 경찰 업무의 핵심에 어떻게 침투하고 이를 변화시킬 수 있는지를 보여주었습니다.","category":"인사이트","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"AI가 미국 경찰 업무의 핵심을 재편하고 있다: IACP 기술회의에서의 '디지털 시대 미래 경찰 업무' 비즈니스 - Aioga AI 뉴스","description":"텍사스 주 포트워스에서 열린 국제 경찰서장 협회(IACP) 기술 회의에서 AI는 '디지털 시대 경찰 업무의 미래'로 홍보되었으며, 그 핵심 약속은 경찰 업무에서 흔히 반복되는 절차를 자동화하는 것이었습니다. 이러한 절차는 동시에 법적 절차에서 중요한 단계이기도 합니다. 회의는 수천 명의 참가자들에게 AI가 미국 경찰 업무...","url":"https://www.aioga.com/ko/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:04:29.739Z"},"es":{"title":"La IA está remodelando el núcleo de la policía estadounidense: 'Policía del futuro en la era digital' en la conferencia tecnológica de IACP","summary":"En la conferencia técnica de la Asociación Internacional de Jefes de Policía (IACP) celebrada en Fort Worth, Texas, la IA fue promocionada como \"el futuro de la policía en la era digital\", cuyo compromiso principal es automatizar los procesos rutinarios en el trabajo policial, que al mismo tiempo son pasos clave en los procedimientos legales. La conferencia mostró a miles de asistentes cómo la IA se está infiltrando y podría cambiar el núcleo del trabajo policial en Estados Unidos.","category":"Ideas","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"La IA está remodelando el núcleo de la policía estadounidense: 'Policía del futuro en la era digital' en la conferencia tecnológica de IACP - Aioga Noticias de IA","description":"En la conferencia técnica de la Asociación Internacional de Jefes de Policía (IACP) celebrada en Fort Worth, Texas, la IA fue promocionada como \"el futuro de la policía en la era d...","url":"https://www.aioga.com/es/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:04:28.270Z"},"fr":{"title":"L'IA est en train de remodeler le cœur de la police américaine : « La police du futur à l'ère numérique » lors de la conférence technologique de l'IACP","summary":"Lors de la conférence technique de l'Association Internationale des Chefs de Police (IACP) qui s'est tenue à Fort Worth, Texas, l'IA a été présentée comme \"l'avenir de la police à l'ère numérique\", sa promesse principale étant d'automatiser les tâches routinières de la police, qui sont également des étapes clés des procédures légales. La conférence a montré à des milliers de participants comment l'IA pourrait s'immiscer et potentiellement transformer le cœur de la police américaine.","category":"Analyses","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"L'IA est en train de remodeler le cœur de la police américaine : « La police du futur à l'ère numérique » lors de la conférence technologique de l'IACP - Aioga Actualités IA","description":"Lors de la conférence technique de l'Association Internationale des Chefs de Police (IACP) qui s'est tenue à Fort Worth, Texas, l'IA a été présentée comme \"l'avenir de la police à...","url":"https://www.aioga.com/fr/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:05:28.290Z"},"de":{"title":"KI gestaltet das Kernstück der US-Polizeiarbeit neu: „Polizei der Zukunft im digitalen Zeitalter“ auf der IACP-Technologiekonferenz","summary":"Auf der Technologiekonferenz der International Association of Chiefs of Police (IACP) in Fort Worth, Texas, wurde KI als „die Zukunft der Polizeiarbeit im digitalen Zeitalter“ beworben, deren zentrales Versprechen die Automatisierung routinemäßiger Polizeiarbeiten ist – diese sind gleichzeitig auch zentrale Schritte im Rechtsverfahren. Die Konferenz zeigte tausenden Teilnehmern, wie KI das Kernwesen der amerikanischen Polizeiarbeit durchdringen und möglicherweise verändern könnte.","category":"技巧观点","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"KI gestaltet das Kernstück der US-Polizeiarbeit neu: „Polizei der Zukunft im digitalen Zeitalter“ auf der IACP-Technologiekonferenz - Aioga KI-News","description":"Auf der Technologiekonferenz der International Association of Chiefs of Police (IACP) in Fort Worth, Texas, wurde KI als „die Zukunft der Polizeiarbeit im digitalen Zeitalter“ bewo...","url":"https://www.aioga.com/de/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:05:27.301Z"},"pt-BR":{"title":"A IA está remodelando o núcleo da aplicação da lei nos EUA: 'Policiamento do Futuro na Era Digital' na Conferência de Tecnologia da IACP","summary":"Na Conferência Técnica da International Association of Chiefs of Police (IACP), realizada em Fort Worth, Texas, a IA foi promovida como \"o futuro da polícia na era digital\", com a promessa central de automatizar tarefas rotineiras da atividade policial – tarefas que também são etapas-chave nos processos legais. A conferência demonstrou a milhares de participantes como a IA pode infiltrar-se e possivelmente transformar o núcleo da aplicação da lei nos Estados Unidos.","category":"技巧观点","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"A IA está remodelando o núcleo da aplicação da lei nos EUA: 'Policiamento do Futuro na Era Digital' na Conferência de Tecnologia da IACP - Aioga Notícias de IA","description":"Na Conferência Técnica da International Association of Chiefs of Police (IACP), realizada em Fort Worth, Texas, a IA foi promovida como \"o futuro da polícia na era digital\", com a...","url":"https://www.aioga.com/pt-BR/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:06:20.551Z"},"ru":{"title":"Искусственный интеллект трансформирует суть полицейской работы в США: «Полиция будущего в цифровую эпоху» на технологической конференции IACP","summary":"На Международной технической конференции Ассоциации начальников полиции (IACP), проходившей в Форт-Уэрте, Техас, искусственный интеллект был представлен как «будущее полицейской работы в цифровую эпоху», основное обещание которого заключается в автоматизации рутинных аспектов полицейской работы — аспектов, которые также являются ключевыми шагами в правовой процедуре. Конференция показала тысячам участников, как ИИ проникает и может изменить суть полицейской работы в США.","category":"技巧观点","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"Искусственный интеллект трансформирует суть полицейской работы в США: «Полиция будущего в цифровую эпоху» на технологической конференции IACP - Aioga Новости ИИ","description":"На Международной технической конференции Ассоциации начальников полиции (IACP), проходившей в Форт-Уэрте, Техас, искусственный интеллект был представлен как «будущее полицейской ра...","url":"https://www.aioga.com/ru/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:06:21.446Z"},"ar":{"title":"الذكاء الاصطناعي يعيد تشكيل جوهر الشرطة الأمريكية: 'شرطة عصر الرقمنة المستقبلية' في مؤتمر IACP للتكنولوجيا","summary":"في مؤتمر الجمعية الدولية لرؤساء الشرطة (IACP) التقني الذي عقد في فورت وورث بولاية تكساس، تم الترويج للذكاء الاصطناعي باعتباره \"مستقبل الشرطة في العصر الرقمي\"، حيث يكمن وعده الأساسي في أتمتة المهام الروتينية في العمل الشرطي — وهي المهام التي تشكل أيضًا خطوات رئيسية في الإجراءات القانونية. وقد عرض المؤتمر لآلاف المشاركين كيف يمكن للذكاء الاصطناعي أن يتسلل إلى جوهر الشرطة الأمريكية وربما يغيره.","category":"技巧观点","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"الذكاء الاصطناعي يعيد تشكيل جوهر الشرطة الأمريكية: 'شرطة عصر الرقمنة المستقبلية' في مؤتمر IACP للتكنولوجيا - Aioga أخبار الذكاء الاصطناعي","description":"في مؤتمر الجمعية الدولية لرؤساء الشرطة (IACP) التقني الذي عقد في فورت وورث بولاية تكساس، تم الترويج للذكاء الاصطناعي باعتباره \"مستقبل الشرطة في العصر الرقمي\"، حيث يكمن وعده الأساسي...","url":"https://www.aioga.com/ar/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:07:22.331Z"},"hi":{"title":"एआई अमेरिका की पुलिसिंग के मूल को बदल रहा है: IACP तकनीकी सम्मेलन में 'डिजिटल युग में भविष्य की पुलिसिंग' व्यवसाय","summary":"टेक्सास के फोर्ट वर्थ में आयोजित अंतरराष्ट्रीय पुलिस प्रमुख एसोसिएशन (IACP) तकनीकी सम्मेलन में, एआई को \"डिजिटल युग की पुलिसिंग का भविष्य\" के रूप में प्रचारित किया गया, जिसका मुख्य वादा पुलिसिंग कार्यों के स्वचालितकरण में सामान्य प्रक्रियाओं को स्वचालित करना था—ये प्रक्रियाएं ही कानूनी प्रक्रियाओं के महत्वपूर्ण कदम भी हैं। सम्मेलन ने हजारों प्रतिभागियों को दिखाया कि एआई कैसे अमेरिकी पुलिसिंग के मूल में प्रवेश कर सकता है और उसे बदल सकता है।","category":"技巧观点","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"एआई अमेरिका की पुलिसिंग के मूल को बदल रहा है: IACP तकनीकी सम्मेलन में 'डिजिटल युग में भविष्य की पुलिसिंग' व्यवसाय - Aioga AI समाचार","description":"टेक्सास के फोर्ट वर्थ में आयोजित अंतरराष्ट्रीय पुलिस प्रमुख एसोसिएशन (IACP) तकनीकी सम्मेलन में, एआई को \"डिजिटल युग की पुलिसिंग का भविष्य\" के रूप में प्रचारित किया गया, जिसका मुख्य...","url":"https://www.aioga.com/hi/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:07:12.633Z"},"it":{"title":"L'IA sta rimodellando il nucleo delle forze di polizia americane: il business della 'polizia nell'era digitale' alla conferenza tecnologica IACP","summary":"Alla conferenza tecnica dell'International Association of Chiefs of Police (IACP) tenutasi a Fort Worth, Texas, l'IA è stata pubblicizzata come \"il futuro del poliziotto nell'era digitale\", con la promessa centrale di automatizzare i passaggi di routine nel lavoro di polizia, che allo stesso tempo sono passaggi chiave nei procedimenti legali. La conferenza ha mostrato a migliaia di partecipanti come l'IA stia penetrando e possa potenzialmente trasformare il nucleo del lavoro di polizia negli Stati Uniti.","category":"技巧观点","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"L'IA sta rimodellando il nucleo delle forze di polizia americane: il business della 'polizia nell'era digitale' alla conferenza tecnologica IACP - Aioga Notizie IA","description":"Alla conferenza tecnica dell'International Association of Chiefs of Police (IACP) tenutasi a Fort Worth, Texas, l'IA è stata pubblicizzata come \"il futuro del poliziotto nell'era d...","url":"https://www.aioga.com/it/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:08:19.042Z"},"nl":{"title":"AI hervormt de kern van het politiewerk in de VS: 'Politie in het digitale tijdperk' op de IACP-technologietop","summary":"Op de Technologiebijeenkomst van de International Association of Chiefs of Police (IACP) in Fort Worth, Texas, werd AI gepresenteerd als de 'toekomst van politiewerk in het digitale tijdperk', met de kernbelofte het automatiseren van routinetaken binnen politiewerk – taken die tegelijkertijd cruciale stappen in de juridische procedures zijn. De conferentie liet duizenden deelnemers zien hoe AI de kern van het Amerikaanse politiewerk kan doordringen en mogelijk veranderen.","category":"技巧观点","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"AI hervormt de kern van het politiewerk in de VS: 'Politie in het digitale tijdperk' op de IACP-technologietop - Aioga AI-nieuws","description":"Op de Technologiebijeenkomst van de International Association of Chiefs of Police (IACP) in Fort Worth, Texas, werd AI gepresenteerd als de 'toekomst van politiewerk in het digital...","url":"https://www.aioga.com/nl/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:08:11.316Z"},"tr":{"title":"Yapay Zeka, ABD Polisliğinin Çekirdeğini Yeniden Şekillendiriyor: IACP Teknoloji Konferansında 'Dijital Çağda Geleceğin Polisliği' İşleri","summary":"Teksas, Fort Worth'ta düzenlenen Uluslararası Polis Şefleri Derneği (IACP) teknoloji konferansında, yapay zeka 'dijital çağda polisliğin geleceği' olarak tanıtıldı; temel taahhüdü, polislik işlerinde rutin olan adımları otomatikleştirmekti — bu adımlar aynı zamanda yasal süreçlerin kritik aşamalarıdır. Konferans, binlerce katılımcıya yapay zekanın ABD polisliğinin özünü nasıl etkileyebileceğini ve değiştirebileceğini gösterdi.","category":"技巧观点","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"Yapay Zeka, ABD Polisliğinin Çekirdeğini Yeniden Şekillendiriyor: IACP Teknoloji Konferansında 'Dijital Çağda Geleceğin Polisliği' İşleri - Aioga AI Haberleri","description":"Teksas, Fort Worth'ta düzenlenen Uluslararası Polis Şefleri Derneği (IACP) teknoloji konferansında, yapay zeka 'dijital çağda polisliğin geleceği' olarak tanıtıldı; temel taahhüdü,...","url":"https://www.aioga.com/tr/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:09:12.054Z"},"vi":{"title":"AI đang tái định hình cốt lõi công tác cảnh sát Mỹ: 'Cảnh sát trong kỷ nguyên số' tại Hội nghị công nghệ IACP","summary":"Tại hội nghị kỹ thuật của Hiệp hội Trưởng phòng Cảnh sát Quốc tế (IACP) được tổ chức ở Fort Worth, Texas, AI đã được quảng bá là \"tương lai của cảnh sát trong thời đại kỹ thuật số\", với cam kết cốt lõi là tự động hóa các công việc cảnh sát thường quy – những công việc này đồng thời cũng là các bước then chốt trong quy trình pháp lý. Hội nghị đã trình diễn cho hàng nghìn đại biểu thấy cách AI thâm nhập và có thể thay đổi cốt lõi công việc cảnh sát ở Mỹ.","category":"技巧观点","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"AI đang tái định hình cốt lõi công tác cảnh sát Mỹ: 'Cảnh sát trong kỷ nguyên số' tại Hội nghị công nghệ IACP - Tin tức AI Aioga","description":"Tại hội nghị kỹ thuật của Hiệp hội Trưởng phòng Cảnh sát Quốc tế (IACP) được tổ chức ở Fort Worth, Texas, AI đã được quảng bá là \"tương lai của cảnh sát trong thời đại kỹ thuật số\"...","url":"https://www.aioga.com/vi/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:09:20.081Z"},"id":{"title":"AI sedang membentuk kembali inti kepolisian Amerika: 'Kepolisian Masa Depan di Era Digital' di Konferensi Teknologi IACP","summary":"Di Konferensi Teknologi Asosiasi Kepala Polisi Internasional (IACP) yang diadakan di Fort Worth, Texas, AI dipromosikan sebagai 'masa depan kepolisian di era digital', dengan janji utamanya adalah mengotomatisasi tugas rutin dalam pekerjaan kepolisian—tugas-tugas ini juga merupakan langkah penting dalam prosedur hukum. Konferensi ini menunjukkan kepada ribuan peserta bagaimana AI dapat menembus dan kemungkinan mengubah inti kepolisian di Amerika Serikat.","category":"技巧观点","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"AI sedang membentuk kembali inti kepolisian Amerika: 'Kepolisian Masa Depan di Era Digital' di Konferensi Teknologi IACP - Berita AI Aioga","description":"Di Konferensi Teknologi Asosiasi Kepala Polisi Internasional (IACP) yang diadakan di Fort Worth, Texas, AI dipromosikan sebagai 'masa depan kepolisian di era digital', dengan janji...","url":"https://www.aioga.com/id/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:10:11.426Z"},"th":{"title":"AI กำลังปรับโฉมแกนหลักของการตำรวจสหรัฐ: ธุรกิจ 'ตำรวจยุคดิจิทัลในอนาคต' ในงานประชุมเทคโนโลยี IACP","summary":"ในการประชุมเทคนิคของสมาคมหัวหน้าตำรวจสากล (IACP) ที่จัดขึ้นในฟอร์ทเวิร์ธ รัฐเท็กซัส ปัญญาประดิษฐ์ (AI) ถูกโฆษณาว่าเป็น \"อนาคตของการตำรวจในยุคดิจิทัล\" โดยคำมั่นสัญญาหลักคือการทำงานอัตโนมัติในขั้นตอนปกติของงานตำรวจ ซึ่งขั้นตอนเหล่านี้ก็เป็นขั้นตอนสำคัญในกระบวนการทางกฎหมายเช่นกัน การประชุมได้สาธิตให้ผู้เข้าร่วมหลายพันคนเห็นว่า AI สามารถแทรกซึมและอาจเปลี่ยนแกนหลักของงานตำรวจในสหรัฐอเมริกาได้อย่างไร","category":"技巧观点","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"AI กำลังปรับโฉมแกนหลักของการตำรวจสหรัฐ: ธุรกิจ 'ตำรวจยุคดิจิทัลในอนาคต' ในงานประชุมเทคโนโลยี IACP - ข่าว AI Aioga","description":"ในการประชุมเทคนิคของสมาคมหัวหน้าตำรวจสากล (IACP) ที่จัดขึ้นในฟอร์ทเวิร์ธ รัฐเท็กซัส ปัญญาประดิษฐ์ (AI) ถูกโฆษณาว่าเป็น \"อนาคตของการตำรวจในยุคดิจิทัล\" โดยคำมั่นสัญญาหลักคือการทำงานอ...","url":"https://www.aioga.com/th/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:10:27.367Z"},"pl":{"title":"Sztuczna inteligencja przekształca rdzeń amerykańskiej policji: „Policja w erze cyfrowej” na Konferencji Technologicznej IACP","summary":"Na konferencji technologicznej Międzynarodowego Stowarzyszenia Szefów Policji (IACP) w Fort Worth w Teksasie, sztuczna inteligencja była promowana jako „przyszłość policyjności w erze cyfrowej”, a jej głównym obietnicą była automatyzacja rutynowych działań policyjnych — działań, które są jednocześnie kluczowymi krokami w procedurze prawnej. Konferencja pokazała tysiącom uczestników, jak SI wnika w sedno amerykańskiej policji i może ją zmienić.","category":"技巧观点","source":"The Verge：AI（RSS）","aggregationSource":"The Verge：AI（RSS）","pageTitle":"Sztuczna inteligencja przekształca rdzeń amerykańskiej policji: „Policja w erze cyfrowej” na Konferencji Technologicznej IACP - Aioga Wiadomości AI","description":"Na konferencji technologicznej Międzynarodowego Stowarzyszenia Szefów Policji (IACP) w Fort Worth w Teksasie, sztuczna inteligencja była promowana jako „przyszłość policyjności w e...","url":"https://www.aioga.com/pl/news/cmrnftfel001ubiu5pllbkocz/","contentTranslated":true,"sourceHash":"2dc58447484dea6e","translatedAt":"2026-07-22T21:11:27.561Z"}}}}