{"id":1000,"date":"2026-07-21T09:10:50","date_gmt":"2026-07-21T09:10:50","guid":{"rendered":"https:\/\/longhaulmovingpros.com\/?p=1000"},"modified":"2026-07-21T09:10:50","modified_gmt":"2026-07-21T09:10:50","slug":"weak-ai-regulation-is-worse-than-no-regulation-researchers-claim","status":"publish","type":"post","link":"https:\/\/longhaulmovingpros.com\/?p=1000","title":{"rendered":"Weak AI Regulation Is Worse Than No Regulation, Researchers Claim"},"content":{"rendered":"<div>\n<p>Weak AI safety regulations may \u201cbackfire,\u201d creating a product that is potentially more dangerous than AI products created under no regulation, according to a new study published on Monday in the Proceedings of the National Academy of Sciences.<\/p>\n<p>Read more <a href=\"https:\/\/longhaulmovingpros.com\/?p=998\">Neill Blomkamp\u2019s New Horror Clip Is Entirely AI-Generated, Sucks<\/a><\/p>\n<p>Using theoretical economics and game theory principles, a group of researchers from Cornell and Carnegie Mellon University created a theoretical model that aims to show how AI regulation can be most effective at ensuring safety. They found that for true safety, regulation needs to be strict while targeting the companies that develop AI models (such as OpenAI, Google, and Anthropic), rather than solely focusing on the downstream companies that apply the technology in real-life settings, like companies that provide AI medical diagnostic systems or e-commerce customer service chatbots. Even though just choosing to regulate the specific AI use cases \u201cmight seem logical\u201d at first, the authors argue that it can backfire and reduce the overall safety of AI products.<\/p>\n<p>That\u2019s because when the government focuses on regulating downstream companies and lets the AI model developers off the hook, the general-purpose AI developers tend to cut corners on safety measures like third-party audits, hoping that the downstream companies will ensure the safety of the end product instead.<\/p>\n<div>\n<\/div>\n<p>\u201cThere\u2019s a free-riding behavior that occurs,\u201d according to the study\u2019s principal author Benjamin Laufer. \u201cThe regulation acts as a tool for the general provider to offload the safety burden onto the downstream specialist.\u201d<\/p>\n<div>\n<\/div>\n<p>The study comes as the United States government and Silicon Valley are trying to figure out how artificial intelligence should be regulated. Two main camps have formed in response. On one side are the anti-regulation technologists, who envision much lighter federal guardrails that largely align with the Trump administration\u2019s approach to AI governance. This group tends to say that the AI industry should be free of unnecessary guardrails to innovate as quickly as possible, because that\u2019s the only way that the United States can win the global AI race against China.<\/p>\n<p>Read more <a href=\"https:\/\/longhaulmovingpros.com\/?p=996\">AI Tends to Develop New Stereotypes to Base Hiring Decisions On, Study Says<\/a><\/p>\n<p>The self-proclaimed pro-innovation group also tends to fashion the opposing camp, who favor stricter AI safety regulation, as doomers at best and as attempting regulatory capture at worst. The supporters of stricter federal AI regulation, however, claim that, in pursuit of wider profit margins, the AI industry is underestimating or underselling the risks of under-regulated AI development, and the list of purported downsides includes everything from AI psychosis to the community health consequences of data centers and a much-feared unemployment crisis that is expected to follow wider AI adoption.<\/p>\n<div>\n<\/div>\n<p>But the authors of the new study argue that safety versus revenue doesn\u2019t have to be an either-or situation. According to the model, \u201cstronger, well-placed regulation can mutually benefit all players\u201d by improving both the safety of the end product and the utility general-purpose AI creators and the downstream domain specialists get from the investment. The researchers define utility as revenue share minus investment cost.<\/p>\n<p>This supposed sweet spot exists when regulators expect both the general-purpose AI producers and the downstream companies to make enough investment to meet meaningful safety standards. The situation is a classic example of a <em>prisoner\u2019s dilemma<\/em>, a game theory problem in which two rational decision-makers are given the option to cooperate or betray each other. If they both choose to cooperate, then they will get the best possible outcome, but neither knows what the other will choose. If they both betray each other, then they get a mediocre outcome, but if one decides to cooperate while the other betrays, then the betrayed one gets the worst outcome. Unsure what the other participant is going to choose, the decision-maker often chooses to betray and guarantee their own benefit, ensuring a worse outcome for everyone than had they cooperated. Strict regulation for companies across the AI supply chain would ensure trust rather than freeriding, providing the grounds for cooperation and the most ideal outcome for all, the researchers claim.<\/p>\n<p>\u201cPeople think of AI as a single object, but actually AI involves a very complicated set of stakeholders and actors that each have their own contributions to the technology,\u201d Laufer said. \u201cTo regulate in a thoughtful way, we need to consider the whole supply chain, not just a single provider or entity.\u201d<\/p>\n<p>Read more <a href=\"https:\/\/longhaulmovingpros.com\/?p=994\">Federal Judge Says Not So Fast to Paramount\u2019s Takeover of Warner Bros. Discovery<\/a><\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Game theory says the best AI safety regulation is strict and targets everyone in the supply chain, according to the paper.<\/p>\n","protected":false},"author":1,"featured_media":999,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-1000","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Weak AI Regulation Is Worse Than No Regulation, Researchers Claim - Long Haul Moving Pros<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/longhaulmovingpros.com\/?p=1000\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Weak AI Regulation Is Worse Than No Regulation, Researchers Claim - 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