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Get with the times — here's what a 'Luddite' means today | NCPR News

Get with the times — here's what a 'Luddite' means today It's often a derogatory term used to describe digital dinosaurs and technophobes. That wasn't always the case. NPR's Word of the Week looks back... As artificial intelligence races ahead in the United States, so has the backlash. This month, New York moved closer to passing into law a pause on the development of new data centers that power the technology. This graduation season, tech leaders who invoke AI optimism in their commencement speeches are getting booed by classes entering the workforce with anxieties about what AI could mean for their job prospects. When someone dares to question the wonders of technology, there's a handy word used to mock them: Luddites. David Friedberg, a tech investor and adviser to the White House, recently dropped the term on the popular business podcast All-In: "The idea that AI is going to destroy jobs is a Luddite idea that is being disproven every single day." Luddites are often accused of being anti-tech and anti-innovation. But Brian Merchant, a tech journalist and self-proclaimed Luddite, says true adherents aren't anti-tech. "The real Luddites are anti-technology being used to exploit people," he said. "A Luddite asks: 'What are the implications of this technology? How is it going to impact society? Should we engage with this technology on the grounds that it might make somebody a lot of money or should we engage with it on the grounds that this could have real impacts for the way that people work and live?' " The original Luddites were 19th-century English textile makers who protested the ways mechanization was disrupting their livelihoods by smashing automated power looms. They took their name from a Robin Hood-like folk hero — a disgruntled apprentice worker who historians say likely never existed. "It

In photos: The Knicks celebrate their first NBA championship in more than 50 years

Maybe the real monster in the Alien franchise isn’t actually the killer alien. Because behind the acid blood and jump scares is an even more insidious horror: a single employer with unchecked power. That employer is named Weyland-Yutani, a mega-corporation that dominates workers across the galaxy. Weyland-Yutani is a sort of extreme example of what economists call a monopsony — when one employer dominates a labor market and gains power to underpay and mistreat workers. Sure, it’s science fiction. But a growing number of economists argue that monopsony power is a much bigger deal in the real world than previously thought. We watch scenes from the movie Alien with labor economist Arin Dube, whose new book, The Wage Standard, shines a spotlight on the problem of monopsony power in the modern economy. We ask Arin what policy ideas he has that would have maybe prevented the worker tragedy seen in Alien. And we use his answer to try and rewrite the movie (spoiler: the movie becomes much shorter and less exciting). Plus, we speak with Fede Álvarez, the director and co-writer of Alien: Romulus, which puts Weyland-Yutani’s poor treatment of workers front row and center. For more on monopsony and anti-trust: Support: Read: Follow: Today's episode of Planet Money was hosted by Greg Rosalsky and Kenny Malone. It was produced by James Sneed, edited by Jess Jiang, fact-checked by Sierra Juarez, and engineered by Robert Rodriguez. Our executive producer is Alex Goldmark.

US-Iran talks in Switzerland canceled. And, DHS to give police <b>facial recognition</b> app

Section Branding Header Content US-Iran talks in Switzerland canceled. And, DHS to give police facial recognition app Primary Content Good morning. You're reading the Up First newsletter. Subscribe here to get it delivered to your inbox, and listen to the Up First podcast for all the news you need to start your day. Today's top stories Vice President Vance is postponing his trip to Switzerland, where he was set to negotiate terms of a peace agreement with Iran. This week, President Trump and Iranian President Masoud Pezeshkian signed a memorandum, which offers benefits to Iran but is only a first step toward a comprehensive deal. Yesterday, the U.S. Central Command announced that U.S. forces lifted their blockade on ships entering and exiting Iranian ports and coastal areas. This action is one of the conditions of a ceasefire agreement between the U.S. and Iran, as both countries enter the next phase of negotiations over the next 60 days. Read the full text of Trump's preliminary U.S.-Iran agreement to end the war here. - 🎧 Officials have not explained why the meeting has been delayed, but Israel's ongoing bombardment of southern Lebanon isn't helping matters, NPR's Rob Schmitz tells Up First. The first article of the agreement signed by Trump and Iran's president promises to ensure Lebanon's territorial integrity. Israel's Prime Minister Benjamin Netanyahu has made it clear that Israeli forces plan to remain in southern Lebanon. Members of Netanyahu's cabinet have described this deal as "bad for Israel." For now, Iran's foreign ministry said that the signing ceremony is off and the White House said that plans for the upcoming technical talks have not yet been finalized. With both the U.S. and Iran threatening to strike each other, this agreement appears to be on very shaky ground, Schmitz says. - 🎧

Live <b>facial recognition</b> technology to be used by WA Police in Australian first

Live facial recognition technology to be used by WA Police in Australian first Fri 19 Jun 2026 at 1:54pm In short: A marked police van will be used outside major events or in crowded areas to live scan the faces of people walking past, in an Australian first. The faces of people will be matched against a database of people with outstanding arrest warrants and registered child sex offenders, as well as missing persons. What's next? While the trial only includes one marked van, the police commissioner is not ruling out further covert technology being used in the future, including at protests. Western Australia will become the first place in the country where police will trial real-time facial recognition cameras, scanning crowds for people wanted by police, registered child sex offenders and missing persons. The cameras, which will be deployed in a marked police van outside major events or in crowded areas, will scan faces to be cross referenced with a database of targets. Police Commissioner Col Blanch said that database will contain about 4,000 people with outstanding arrest warrants and thousands of registered child sex offenders, as well as people reported missing. The commissioner said signs alerting the public to the cameras would be clearly visible. "This is not about mass surveillance,"he said. "This is about specifying those in our community who are wanted by police." If the technology detects a match, the image will be retained and an alert sent to nearby officers to confirm the person's identity. 'Increased freedoms and privacy' Commissioner Blanch said while his force had used facial recognition technology on already obtained footage for more than a decade, it was the first time in Australia police had used live feeds for almost-instant facial detection. He sought to quell concerns about potential breaches of privacy.

Artificial intelligence-based phenotypic screening using Aspergillus oryzae identified a novel ...

Abstract When treated with various compounds, fungi exhibit characteristic morphological changes depending on their mode of action. Previously, we constructed morphology-based databases of the rice blast fungus Pyricularia oryzae and human pathogenic fungus Candida albicans and used them for antifungal screening. As these databases are manually created by human experts, objectivity and throughput may be a concern. To overcome these limitations, we developed a new artificial intelligence (AI)-based automated classification system for morphological changes in the filamentous fungus Aspergillus oryzae. Using this system, we screened a library of 7602 microbial broths and found that the culture broth of Streptomyces sp. RK21-A1205 exhibited potent antifungal activity and induced unique morphological changes distinct from those induced by conventional antifungal agents. Antifungal-activity-guided purification yielded the active metabolite RK-1205-I (1), whose chemical structure was identified as a new fostriecin derivative. 1 showed strong growth inhibitory activity against A. oryzae and other fungi, including A. fumigatus and C. auris, with IC50 value of 0.020 and 0.21 µM, respectively. Furthermore, 1 inhibited protein phosphatase 2A (PP2A) activity in the fungal cells. This study demonstrates that our newly developed AI-based phenotypic screening system can effectively distinguish morphological changes induced by microbial broths and facilitates the identification of novel antifungal compounds. This is a preview of subscription content, access via your institution Access options Subscribe to this journal Receive 12 print issues and online access $259.00 per year only $21.58 per issue Buy this article - Purchase on SpringerLink - Instant access to the full article PDF. USD 39.95 Prices may be subject to local taxes which are calculated during checkout Similar content being viewed by others References - Fisher MC, et al. Emerging fungal threats to animal, plant and ecosystem health. Nature. 2012;484:186–94. https://doi.org/10.1038/nature10947. - Sato T. Plant diseases and their pathogenic microbes in Japan. Microbiol Cult

Huedoku #48 — June 19, 2026

BuzzFeed GamesOnly People With A Very, Very, Very, Very, Very, Very, Very, Very, Very, Very, Very, Very Good Eye For Color Can Solve Today’s HuedokuHuedoku #48! Friday puzzle — end the week on a colorful note. 🌈🎉Posted 15 hours agocommentFacebookPinterestLinkby Crystal RoBuzzFeedBuzzFeed StaffHi, I’m Crystal, a Senior Editor based in Los Angeles and creator of BuzzFeed’s “That Got Dark” newsletter. Huedoku is a daily color puzzle with simple rules and a satisfying solve. It's like sudoku, but with colors instead of numbers. Sign up here to get notified every time we publish a new Huedoku! Have a great weekend — Huedoku #49 drops Monday! 🌈 🌈 New Huedoku drops every weekday at 4:00 a.m. PT / 7:00 a.m. ET. 🧩🗂️ Huedoku Archive — Every past puzzle, all in one place! Comments Comments

WA police launch real-time AI camera surveillance to catch criminals

WA police launch real-time AI camera surveillance to catch criminals WA Police will become the first force in the country to use real-time AI-generated facial recognition in public spaces. The state government on Friday launched the Overt Live Facial Recognition program with a trial of the cameras at the police academy in Joondalup. The technology monitors groups of people from police vans and compares faces against a database of targets in real-time. Initial monitoring is being launched in areas at high risk of crime. Senior police officers say the technology can quickly identify known criminals, such as violent individuals and child sex offenders. “Live Facial Recognition is about using modern technology responsibly to keep our community safe. It allows police to focus on individuals who present a real risk, while the vast majority of people go about their day without any impact at all,” WA Police Commissioner Col Blanch said. “Live Facial Recognition is about protecting people, not watching people. “It is another tool to help police find the right people, at the right time, for the right reasons. “This technology is the way forward when it comes to supporting frontline policing. “It’ll help to get high-risk offenders off the streets sooner and reunite vulnerable people with safety and care more quickly.” To maintain transparency, signs warning the public are posted. Since last October, AI cameras have been deployed on WA roads to catch motorists speeding and carrying out other driver infringements. But the move has proved controversial, with thousands of drivers successfully appealing and wiping $2.2 million in fines. Despite the AI traffic camera backlash, the WA government plans to roll out even more within the next six months. The opposition says the government needs to iron out the issues before launching more.

Live <b>facial recognition</b> technology to be used by WA Police in Australian first | RNZ

Live facial recognition technology to be used by WA Police in Australian first By Keane Bourke, ABC Western Australia will become the first place in the country where police will trial real-time facial recognition cameras, scanning crowds for people wanted by police, registered child sex offenders and missing persons. The cameras, which will be deployed in a marked police van outside major events or in crowded areas, will scan faces to be cross referenced with a database of targets. Police Commissioner Col Blanch said that database will contain about 4,000 people with outstanding arrest warrants and thousands of registered child sex offenders, as well as people reported missing. The commissioner said signs alerting the public to the cameras would be clearly visible. "This is not about mass surveillance," he said. "This is about specifying those in our community who are wanted by police." If the technology detects a match, the image will be retained and an alert sent to nearby officers to confirm the person's identity. 'Increased freedoms and privacy' Commissioner Blanch said while his force had used facial recognition technology on already obtained footage for more than a decade, it was the first time in Australia police had used live feeds for almost-instant facial detection. He sought to quell concerns about potential breaches of privacy. "CCTV cameras are everywhere. They are owned by private businesses, local councils, they are around the world ... and who are they owned by, no-one would know," he said. "They capture information of everyone, they store pictures of everyone - for how long, I don't know. "This technology here pixelates those who are not on the list, does not store information, deletes it immediately. "This is actually a way that we can increase the freedoms and the privacy of our community. This is less

Why Agentic AI and Omnichannel Architecture Are Redefining the DAM Ecosystem

Digital asset management (DAM) has moved far beyond its original role as a centralized repository for storing images, videos, and documents. Today, it functions as a dynamic operational infrastructure layer for automated content supply chains. Driven by this architectural shift, the global digital asset management market, valued at USD 5.83 billion in 2025, is projected to grow from USD 6.64 billion in 2026 to USD 18.53 billion by 2033, expanding at a CAGR of 15.80%. This trajectory reflects a broader transformation in how organizations manage digital content. As enterprises generate and distribute growing volumes of multimedia assets across websites, mobile applications, social media platforms, e-commerce channels, and customer engagement systems, DAM is increasingly functioning as operational infrastructure rather than a standalone content library. Organizations are investing in DAM platforms to automate asset workflows, improve brand consistency, accelerate content delivery, and support increasingly complex digital ecosystems. What is Digital Asset Management (DAM)? DAM is an enterprise software system that allows organizations to securely store, organize, govern, and distribute their multimedia content. Beyond basic cloud storage, modern DAM platforms utilize intelligent metadata, AI-driven workflows, and cross-platform integrations to streamline the entire content lifecycle and deliver assets seamlessly across omnichannel digital ecosystems. Leading companies such as Adobe, Canto, Acquia, Oracle, Sitecore, Bynder, Hyland, Aprimo, and IBM are continuously evolving their platforms to meet these demands. At the center of this evolution are four interconnected forces: agentic AI, omnichannel content delivery, cloud-native scalability, and expanding governance requirements. Together, these trends are transforming DAM from a storage solution into an intelligent content orchestration layer that powers the modern enterprise content supply chain. The Agentic AI Leap: From Smart Tagging to Autonomous Orchestration For much of the past decade, artificial intelligence in DAM focused on improving asset discovery through automated tagging, image recognition, and metadata generation.

The New - You should lock your phone with a passcode or <b>facial recognition</b>. But that ...

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ICE plans to give local police <b>facial recognition</b> app for immigration enforcement

ICE plans to give local police facial recognition app for immigration enforcement An Immigration and Customs Enforcement (ICE) privacy document publicly accessible on the agency’s website says a Customs and Border Protection (CBP) mobile facial recognition app will allow ICE-deputized state and local law enforcement officers to photograph people in the field, run their faces against federal identity records, and help determine whether they are removable from the U.S. The 10-page developerPrivacyPolicy (PTA), labeled ICE Task Force Module (TFM), Version ICE Privacy 09-2025, lists the app’s launch date as September 24, 2025, and says the project was in development when the document was approved by the ICE Privacy Office the next day. The document describes the TFM as a mobile application that was developed by CBP and made available to authorized “ICE non-federal law enforcement officers” operating in the field to verify a person’s identity and immigration status through facial recognition. The app is believed to be Mobile Fortify, a mobile biometric application already deployed by ICE and CBP which CBP released last year for local law enforcement agencies participating in ICE’s 287(g) Task Force Model. Discovery of the TFM document, labeled “developerPrivacyPolicy.pdf” on ICE’s website, adds a new dimension to what is known about the Department of Homeland Security’s (DHS) plan to extend the app to state and local police officers working under ICE authority. According to the document, the TFM app would run face photos against more than 250 million DHS and Department of State visa records included in subsets of CBP’s Traveler Verification Service. The response would consist of text messages instructing the officer either not to detain or arrest the person under ICE jurisdiction, or providing a reference code the officer could use outside the app to obtain additional information from ICE. A police officer or

A city's push for <b>facial recognition</b> on public buses ignites debate over security and privacy

(AP) â Officials in Kansas City, Missouri, are preparing to equip cameras on some public buses with facial recognition software capable of identifying passengers who appear on a list of banned riders or missing persons. Supporters and opponents alike view the effort as a major litmus test for tapping the AI-powered software on a U.S. public transportation system, positioning Kansas City as the latest epicenter of a fierce debate over whether the safety benefits of artificial intelligence are worth the privacy costs. âThe idea of running face recognition on a camera that is pointed on live spaces in public is a line that until recently has never really been crossed in the last 25 years,â said Jay Stanley, senior policy analyst for the Project on Speech, Privacy and Technology at the American Civil Liberties Union. The state of Missouri declined to help fund the project as expected due to concerns with the facial recognition component. Still, the city is pushing ahead with local and federal money, said Tyler Means, chief mobility and strategy officer at the Kansas City Transportation Authority. âPrivacy is always a tricky thing,â Means said. âWeâve always had cameras on our buses. Itâs just new technology. I think in time itâll smooth over and people will realize, âWell, it didnât really feel any different.ââ Cameras that recognize a face SafeSpace Global, the Knoxville, Tennessee-based company partnering with Kansas City to run the cameras, started using live facial recognition years ago to alert nursing homes when residents left the building, then brought the technology to correctional institutions and schools. Kansas Cityâs buses represent the companyâs inaugural venture in transportation. Images captured by cameras aboard the buses would immediately be checked against any active alerts, generated when a missing person, banned rider or someone on a law enforcement watch

Privacy rights advocates push back against data collection devices in Castro bars

Following a June 10 Gazetteer SF story about the presence of high-security data collection devices from a Calgary-based company called Patronscan in a number of Castro gay bars, digital rights group Fight for the Future is calling on Mix, Badlands, and Toad Hall to remove the technology from their businesses. “We demand you immediately remove facial recognition systems like Patronscan, cancel your contracts with biometric surveillance suppliers, and commit to never again using biometric identification systems on patrons,” the petition reads. “We demand the immediate and complete deletion of identity databases in a method verifiable by outside investigators.” Gazetteer previously reported that those three bars on 18th Street all use a Patronscan product called Guard+ to screen customers as they come through the door at peak hours. That product includes a forensic ID scanner, a camera, and a monitor. It allows bouncers to verify identities; track customer behaviors; and collect, store, and, in some cases, share bar-goers’ photos and personal data, including name, age, zip code, and gender. One of the main selling points of Patronscan is access to local “flag networks,” or shared private databases of blacklisted customers that can be accessed by other businesses that use the Patronscan system. At least nine venues in the Castro are synced into the same flag network as Mix, Badlands, and Toad Hall, according to the dashboard on Mix’s Guard+, which one bouncer showed Gazetteer earlier this month. The petition, which was released publicly yesterday, comes amid a week of backlash from local queer community members against the presence of surveillance technology in Castro bars. Several local sites and LGBTQ+ media outlets like Advocate, PinkNews, and GO published articles on the situation following our original story; these articles were widely shared online, raising concerns about increased surveillance in queer spaces in a

Bus Cameras Privacy | Nation &amp; World News | columbiamissourian.com

AP Bus Cameras Privacy Charlie Riedel - AP Jun 18, 2026 Jun 18, 2026 Updated 4 hrs ago Facebook Twitter WhatsApp SMS Email Print Copy article link Save People wait for the bus at a transit center Friday, June 5, 2026, in Kansas City, Mo. Charlie Riedel - AP Tags Kansas City Facial Recognition Ai Cameras Privacy Information Technology Software Biometrics Face And Voice Recognition Technology Privacy Business Sports U.s. News General News Facebook Twitter WhatsApp SMS Email Print Copy article link Save Latest e-Edition The Columbia Missourian To view our latest e-Edition click the image on the left. The Pulse of I-70A visual roadtrip from Odessa to St. Charles. Read the stories Jeanne AbbottManaging editor for print abbottjm@missouri.edu Missourian Bio Fred AnklamState Government editor 573-882-4557 anklamf@missouri.edu Missourian Bio Elizabeth BrixeyEducation editor 573-882-2632 brixeye@missouri.edu Missourian Bio Gordon DicksonCity/County Government editor gsdrrd@missouri.edu Missourian Bio Mark HorvitSocial Justice and State Editor 573-882-5700 horvitm@missouri.edu Missourian Bio Brittany HilderbrandHigher Education and Health Editor 573-882-6517 bmh2c2@missouri.edu Missourian Bio Obituaries Jeannine Ingram Clow, Nov. 11, 1930 — May 23, 2026 Benjamin A. Holden, June 3, 1963 — June 10, 2026 Carolyn Edison, Feb. 10, 1937 — June 8, 2026 Patrick O’Blennis, Jan. 28, 1948 — June 10, 2026 Jean Locke, June 5, 1938 — June 5, 2026 Weather Currently in Columbia 67° Sunny73° / 61° 9 PM 65° 10 PM 64° 11 PM 63° 12 AM 64° 1 AM 64° Brittany HilderbrandHigher Education and Health Editor 573-882-6517 bmh2c2@missouri.edu Missourian Bio

Jumio Fails to Invalidate FaceTec <b>Facial Recognition</b> Patents

A tribunal upheld the validity of four patents covering facial recognition authentication systems that a suite of Jumio Corp. products are accused of infringing. Jumio failed to demonstrate FaceTec Inc.'s US Patent Nos. 10,776,471; 11,157,606; 11,693,938; and 11,874,910 are obvious in light of previous patent applications and one issued patent, the Patent Trial and Appeal Board said in decisions unsealed Wednesday. Administrative Patent Judge Garth D. Baer dissented from all four decisions, saying prior art cited by Jumio renders parts of the patents invalid as obvious. In 2024, FaceTec sued Jumio in the US District Court for ... Learn more about Bloomberg Law or Log In to keep reading: See Breaking News in Context Bloomberg Law provides trusted coverage of current events enhanced with legal analysis. Already a subscriber? Log in to keep reading or access research tools and resources.

Russian Propagandists Call for Arrests Over Moscow Drone Videos

Russian propagandists have called for criminal prosecutions, arrests, and interrogations of Moscow residents who filmed and shared videos of a recent Ukrainian drone attack on the Russian capital. According to The Moscow Times on Thursday, the demands came after what Russian officials described as the largest Ukrainian drone raid on Moscow since the start of the full-scale war. JOIN US ON TELEGRAM Follow our coverage of the war on the @Kyivpost_official. Armen Gasparyan, a host on the state-affiliated Solovyov Live channel, urged Russian security services to open treason cases against Moscow residents who recorded footage of the attack. Gasparyan said he had seen around 100 videos from Moscow circulating on Ukrainian Telegram channels during the strike and called on authorities to use facial recognition technology to identify those responsible. He described the authors of the videos as “voluntary helpers” of the Ukrainian military and argued they should be arrested and interrogated. State television presenter Vladimir Solovyov echoed the demand. “Everyone who sends such footage should be put in prison,” Solovyov said, according to the report. The comments came after a Ukrainian drone attack struck Moscow’s main oil refinery in Kapotnya, one of the capital’s most strategically important energy facilities, following another attack on the same site on Monday. The refinery, located about 15 kilometers (9 miles) from the Kremlin, supplies a significant share of Moscow’s fuel demand and was reportedly hit for the second time in a week. Russia Strikes Kharkiv With Guided Aerial Bombs The attack triggered multiple fires and renewed debate in Russia about information control and the public sharing of images from military incidents. Responses and previous attacks President Volodymyr Zelensky confirmed that Ukrainian long-range strikes hit Moscow’s main oil refinery, as well as targets in Russia’s Rostov region and occupied Ukrainian territories. Zelensky called it a

DHS document shares plan to give local police departments <b>facial recognition</b> tech

A MARTÍNEZ, HOST: Federal immigration officers often use facial recognition in the field to identify undocumented immigrants. Now, a newly revealed document from the Department of Homeland Security outlines plans to give local police the same technology. NPR's Meg Anderson is here to explain this. So, Meg, tell us more about the DHS document and the tech it describes. MEG ANDERSON, BYLINE: Yeah. So the existence of this particular document was first reported by the news site 404 Media. And it describes a mobile app designed for local police who are deputized by ICE to enforce immigration law. Police use the app to scan the faces of people they stop. The app then runs those faces against more than 250 million government records. We're talking State Department visa records, the database TSA uses at airports. Once someone's face is scanned, the app tells police whether or not that person can be detained for an immigration violation. MARTÍNEZ: All right. So what do we know about how police will actually use this technology? ANDERSON: Not a lot, but we do know the app launched last September. That suggests that police have already been using it. We don't know for sure. And then there's a question of whether police need to have some reason or suspicion to stop people before they use the app. I spoke to Clare Garvie about that. She's a lawyer with the Policing Project at New York University. CLARE GARVIE: Can they walk around taking photos of whoever as sort of a dragnet way to attempt to identify individuals who might be in the country unlawfully? ANDERSON: And I should note, ICE and Border Patrol already use facial recognition technology. During ICE surges in various cities, it's been common for federal officers to take photos of people, both

A slap in the face for Meta | Texas Standard

Meta keeps working to add facial recognition to its platforms and AI-powered smart glasses — and it keeps facing massive pushback. A recent story in WIRED confirmed that a phone app for Meta’s Ray-Ban smart glasses included an unreleased feature called NameTag that could biometrically identify anyone in view of the glasses without their consent. Tech expert Omar Gallaga says Meta has removed the software, which also sparked concern over a connection to a defense contractor. Highlights from this segment: – A WIRED investigation found the NameTag feature, which had not yet been deployed by Meta, in the Meta AI app that’s used to configure its smart glasses. – Journalists also discovered a software license in the app for a tool from Rank One Computing, a company that provides facial recognition software to the military and law enforcement. Meta would not comment on their relationship to Rank One. – Meta has attempted to include facial recognition and tagging software on its social platforms in the past, which led to pushback rom civil liberties advocates and users.

What is artificial intelligence (AI)? | Databricks Blog

Artificial intelligence (AI) is a branch of computer science that lets machines perform tasks that normally require human intelligence, like learning, reasoning, problem-solving, recognizing patterns and making decisions. Put more simply, AI is software that learns from data and uses what it learns to make predictions, decisions or new content without being explicitly programmed for each task. Today’s AI runs everything from spam filters and recommendation engines to chatbots like ChatGPT and image generators. It draws on a range of techniques, most notably machine learning and generative AI, and it has moved from research labs into products people use every day. Stanford computer scientist Fei-Fei Li, writing in the Stanford Emerging Technology Review, places AI in the same category as the most transformative technologies in modern history: “AI is a foundational technology that is advancing other scientific fields and, like electricity and the internet, has the potential to transform how society operates.” Adoption is now scaling across every sector, from healthcare and financial services to retail and manufacturing, and the pace is accelerating. This page covers how AI works, the main types of AI, real-world examples, the limitations to watch for and a brief history of the field. Think of AI as teaching a computer by example instead of writing step-by-step instructions. Show a system thousands of photos of cats and it learns to recognize cats on its own, not because someone told it that cats have whiskers and pointed ears, but because it has seen enough examples to figure out the pattern. AI is not “thinking” the way you or I do. It is finding patterns in data and using those patterns to make a best guess. That distinction matters: AI can get remarkably good results in narrow domains, but it does not understand anything in the human sense.

Rep. Hiner Votes in Support of Medicaid Program Integrity and Fraud Prevention Act

Rep. Hiner Votes in Support of Medicaid Program Integrity and Fraud Prevention Act State Representative Mark Hiner (R-Howard) voted in support of a comprehensive legislative package aimed at fighting fraud, waste and abuse within Ohio’s Medicaid program with the goal of protecting taxpayer dollars. The Ohio Medicaid Program Integrity and Fraud Prevention Act works to strengthen oversight and accountability within the system, ensure transparency, target high-risk providers to ensure quality care, boost fraud reporting requirements, implement guardrails around home-health services, and enhance penalties for Medicaid fraud. Senate Bill 315 was amended to include an extensive, targeted list of key reforms that work to prevent fraud, detect fraud and increase penalties for committing fraud within Medicaid. Preventing Fraud - Delivers transparency within the provider enrollment process by requiring the Ohio Department of Medicaid (ODM) to conduct in-person inspections before approving any new providers for home and community-based care. - Triggers an investigation if a provider seeking enrollment utilizes the same address or other similarities as another provider. - Requires ODM to establish criteria for classifying high-risk providers, allowing them to impose a temporary payment suspension and conduct an investigation if there is a suspicious increase in claims. - Requires that an alternative payer analysis be conducted prior to payment of all Medicaid claims. This will ensure that Medicaid is the payor of last resort in these scenarios. - As a condition of entering into or revalidating a Medicaid provider agreement, requires each person or government entity to disclose the identity of each person with at least a 5% direct or indirect ownership interest in the person or entity, which ODM shall verify. - Maintains options for home caregivers to provide personal care services. Detecting Fraud - Enhances the electronic verification of in-home personal care services by requiring ODM to maintain a