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The Conversation AI
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Why the world needs the UN to keep an eye on AI

By Yu Xiong, Chair Professor of Business Analytics, University of Surrey; Northumbria University, Newcastle

Summit Art Creations/Shutterstock AI doesn’t have a boss. It doesn’t really care about rules. And most of us don’t have any say over what it will do next. Yet the technology is all around us, firmly established in workplaces, financial systems, healthcare and defence. So maybe it needs someone to keep an eye on its progress and set some boundaries. The UN certainly thinks so, and recently decided to set up an independent panel to monitor AI’s future development. It seems like a sensible move, but this attempt to create a successful forum for “rigorous, independent scientific insight” also highlights the inherent difficulties of governing technology on a global scale. For a start, the US, which dominates AI development, doesn’t want anything to do with the panel. It voted against the UN’s idea (so did Paraguay), calling it “significant overreach”. But the UN argues that AI affects everyone, and requires some global coordination. UN secretary-general António Guterres has described the new panel as the first “fully independent scientific body dedicated to helping close the AI knowledge gap and assess the real impacts of AI”. As with some of the UN’s other forums, like the Intergovernmental Panel on Climate Change or the International Atomic Energy Agency, the AI panel would not write the laws, but would help establish common ground rules and standards that everyone can agree on. AI is a different beast though. Unlike climate policy or nuclear materials, which are the responsibility of national governments, AI’s progress is largely driven by private – and very wealthy – firms. International coordination is much more difficult, and already the US, the EU and China are taking different approaches to governance. The EU takes a fairly cautious line, with strict rules on high-risk applications in areas like recruitment or law enforcement. The US favours voluntary standards within the industry. Meanwhile, China treats AI development and control as a matter of state. When different parts of the world approach things so differently, there is a risk that any attempt at global cooperation will simply not work. Big firms could simply move their headquarters to whichever part of the world they consider to be the least restrictive. Technical rules can then become geopolitical tools rather than shared protections. But the biggest challenge goes beyond technical coordination, because AI is fundamentally a technology of power which involves control over information, opportunity and surveillance. Could revisiting Asimov’s laws help us avoid AI’s ‘Chernobyl moment’? There have already been cases of AI being used in predictive policing models that disproportionately target communities. It has been part of automated welfare systems that exclude the vulnerable and decide on access to credit or housing. Digital accountability This is not the first time that a powerful digital force has surged ahead while oversight lags behind. I witnessed this firsthand with research I carried out with colleagues about Bitcoin. When we published our findings about Bitcoin’s massive energy footprint in 2021, the reaction was immediate and global. It triggered a debate that shook the industry, and demonstrated that digital systems can cause to the world. AI is now on the same path, but the stakes are exponentially higher, affecting not just energy grids, but society itself. AI-generated political statements, religious sermons and news footage circulate on screens everywhere. And when people cannot reliably distinguish authentic authority from artificial output, social trust is eroded. AI could make online incitement easier, cheaper, more personalised and more widespread. Some civil leaders have claimed that digital radicalisation, the process by which people adopt extremist views through online content, could be intensified by these tools. Societies everywhere are already grappling with AI’s wider social consequences. The head of the Muslim World League, an international non-governmental Islamic organisation, Mohammad bin Abdulkarim Al-Issa, has warned that AI may “manipulate the ideologies and beliefs that connect and influence billions” with extremist messaging. Having seen how groups like Islamic State exploited social platforms for recruitment and division, he also argues that the danger lies not only in what is said, but in the loss of identifiable authority behind it. Elsewhere, the Pope has warned that AI must never diminish human dignity or reduce people to data points. AI laws overlook environmental damage – here’s what needs to change These kinds of worry reflect legitimate concerns about how technological platforms can fracture societies when ethical guardrails fall behind. And this is precisely where the UN may have an important role to play. UN v AI? Aditya E.S. Wicaksono/Shutterstock Historically, its strength has never depended on enforcement power so much as on symbolic authority and its ability to articulate widely shared goals designed to improve people’s lives. The UN’s 1948 Universal Declaration of Human Rights became the foundation of modern human rights law, by reshaping what governments could plausibly justify. Likewise, the global eradication of smallpox showed how a shared UN-backed objective could enable cooperation even across geopolitical divides. Perhaps the real question, then, is not whether the UN should try to regulate AI directly. It is whether the world can afford a fragmented AI order defined solely by markets, geopolitics and billionaires, with no common ground. Because while the promise of AI is staggering, serious and dangerous failings could yet emerge from the unfilled gaps in governance. The UN could help to avoid them. Yu Xiong does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

Towards Data Science
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The best machine learning model is not one model The post Ensembles of Ensembles of Ensembles: A Guide to Stacking appeared first on Towards Data Science.

Techmeme
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Natalie Lung / Bloomberg: Uber partners with Expedia to launch a hotel booking integration in its app in the US, and plans to add Expedia's Vrbo brand later in 2026  —  Uber Technologies Inc. is adding hotel bookings in its flagship app, marking the ride-hail company's biggest push yet into the travel market as it seeks to create an everything platform.

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ElevenMusic

By Kumar Abhishek

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Blaze

By Filippo Zanfini

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404 Media
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CBP is spending hundreds of millions of dollars on more high-powered surveillance drones, and other components of DHS may start their own fleet of MQ-9 drones as well.

Product Hunt
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Tracea

By Darshan Nere

Discussion | Link

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Getting stalled enterprise AI rollouts in the EMEA region moving again will require CIOs to aggressively audit their systems. Over the past 18 months, AI deployments across Europe advanced far beyond initial testing. Companies poured capital into large language models and machine learning, expecting heavy operational upgrades. IDC research reveals that boards are slowing down, […] The post IDC: How EMEA CIOs can jumpstart AI rollouts appeared first on AI News.

Business Insider
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Getty Images; Jenny Chang-Rodriguez/BI This post originally appeared in the Business Insider Today newsletter. You can sign up for Business Insider's daily newsletter here. No pressure, but five companies carrying the market report earnings over the next 48 hours. Alphabet, Amazon, Meta, and Microsoft all report today after the bell. Apple closes things out on Thursday. In total, more than $15 trillion in market capitalization is telling investors how they're doing. Their massive size isn't the only important thing. Since almost all these companies are vying for AI supremacy, their success (or failure) is a report card on the technology reshaping everything. BI's Joe Ciolli, author of the great First Trade newsletter, breaks down what to look out for with each company. We've also got analyst roundups for Amazon and Meta. A private company's reported challenges are also weighing heavily on these public giants. A story from The Wall Street Journal about OpenAI missing key revenue and user targets has some investors spooked. Public companies directly partnering with OpenAI — like CoreWeave and Oracle — took the brunt of it. But the impact was felt across the tech sector. The Nasdaq 100 index finished down 1% on Tuesday. The WSJ reports that OpenAI CEO Sam Altman and CFO Sarah Friar don't see eye to eye over the AI giant's massive data-center spending ahead of a potential IPO. In a joint statement, Altman and Friar called the story "ridiculous," but it's not the first time reports have surfaced that the two don't get along. BI's Peter Kafka breaks it all down here. BI's Alistair Barr, author of our Tech Memo newsletter (another great one), found the recent reports strange to read. While concerns about OpenAI's heavy compute spending persist, its aggressive push to lock in capacity now looks pragmatic as rivals like Anthropic face outages and growing pains, Alistair writes. But the bigger challenge isn't just building powerful AI, it's figuring out who will pay for it, and why. A reported dispute between a CEO and CFO over spending seems very specific to that company. But a lot of OpenAI's challenges are what the wider tech industry is facing. Just like OpenAI, almost every Big Tech company can't stop talking about how much they're spending on AI. And just like OpenAI, whenever they get pressed on that approach, they all say the risk of overspending is far smaller than the risk of underspending. So if OpenAI is facing budgetary pressure, what does that say about the rest of Big Tech that's followed suit? Tech giants benefit from having established businesses besides AI that generate substantial revenue. Still, they've all also made it clear that their future is all about AI. And if the math ain't working for OpenAI, how long until the numbers don't work for Big Tech either? Read the original article on Business Insider

Business Insider
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Meenu Bhasin (l) and Melanie Underwood each operate their own cooking company, and have found ways to use AI for operational help. Cayce Clifford and Marissa Alper for BI Meenu Bhasin and Melanie Underwood operate solo cooking companies, with some help from AI. They said AI helps them research ingredients, plan events, and develop social strategy. The chefs said AI can't replace the human touch in teaching and tasting. An hour before a recent private cooking class, chef and solopreneur Meenu Bhasin got a message: one of the children attending had a severe egg allergy. Two of her planned recipes required eggs. "They said, if you want to cancel, we understand," Bhasin told Business Insider. "But I'm not going to do that." With no staff to help her, she opened ChatGPT, typed in every ingredient she had on hand, and asked it to come up with two simple, egg-free recipes for young children. "It delivered," she said. "Before ChatGPT, that would have been a lot of stress." It's one of the many ways that Bhasin and another chef, Melanie Underwood of Nourish & Gather, use generative AI for behind-the-scenes operational support in their solo cooking ventures. The AI-Powered Solopreneur series explores how solo business owners use AI to drive growth. Tailoring client experiences with generative AI For Bhasin, who has run her Bay Area cooking company for more than 15 years, much of her time preparing for classes is spent building menus that cater to a unique combination of dietary restrictions, preferences, and kitchen constraints. Since she started using ChatGPT about a year and a half ago, the process has become more streamlined, Bhasin told Business Insider. Bhasin uses AI for ideas when she's looking to swap ingredients. Cayce Clifford for BI Bhasin said she might get an email from a group that has a wide range of dietary needs and tastes, from pescatarians to gluten free, and she has to create an experience that will work for everyone. "I'm like, 'oh my goodness, ChatGPT, what can I teach this group?,'" she said. She'll also use ChatGPT to research ingredient swaps, such as finding alternatives to sesame seeds and soy sauce that still deliver the salty, spicy, and sweet notes essential to an Asian cooking class. Still, Bhasin said the final call is always hers. "It gives me the legwork, and then I have to go in, use those ingredients, and make sure it actually tastes good." Underwood, a Westchester-based culinary educator and chef, said she also uses AI to tailor her standard program materials for different audiences. When she recently ran her nutrition program for a group of eight men in a corporate setting, she asked Anthropic's Claude to help her reframe the content with a more data-driven lens. Underwood said she always double checks the studies that Claude cites before using them. AI lessens the load of event management Underwood said that generative AI has been especially useful for planning her cooking workshops. She'll upload her recipes to Claude, tell it the number of participants, then prompt it to multiply the recipe ingredients and list out which equipment she needs to bring. "That is so helpful for scalability, because then I'm actually not having to sit and write out all of those things," Underwood said, adding that this allows her to focus more on the creative side of her work. Underwood said AI has been helpful when planning workshops. Marissa Alper for BI Bhasin said that AI helps her better manage client communications, which often requires her to email each group back and forth several times before their class. Generative AI helps her work through her thoughts around specific requests and draft difficult messages in a diplomatic tone, Bhasin added. When five parents recently asked her to change an already-advertised summer camp menu to suit their children, she consulted ChatGPT before responding. "ChatGPT asked me: 'What is your goal here? Is it to make as much money as possible, or is it to teach a high-quality camp?'" she said. With those questions in mind, Bhasin revisited her initial reasons for choosing the planned theme. Ultimately, that process led her to decide not to alter the menu to preserve the reputation her classes are known for, she said. Bhasin said AI will never replace a chef's human touch. Cayce Clifford for BI Planning for the future with AI assistance Both solopreneurs have also used AI as a thinking partner to grow their businesses in ways they said they couldn't have managed alone. For Underwood, that meant turning a viral moment into a new revenue stream. When an Instagram Reel she posted generated 30 DMs in a single day, she knew she'd hit on something, but wasn't sure how to organize her ideas. "It helped me very strategically sort of plan the framework for what I already had in my brain — putting it out in a written form that I probably couldn't have done without it," she said. The result was the Family Table Reset, a six-month virtual program for parents that has since become a core part of her business. Bhasin said that with AI's recipe brainstorming support, she anticipates having enough ideas to teach two new recipes a week for the next 10 to 15 years. Underwood was able to use AI to take advantage of a viral social moment. Marissa Alper for BI Even after experiencing the benefits of generative AI in their businesses, both chefs said there are food-focused tasks that AI simply can't do: Developing, tasting, and teaching delicious recipes. "AI enhances what I do; it can never replace chefs," Bhasin said. "You need that human touch. You need my vibrant personality. You need that passion. And that only comes through when you've got a real person teaching you a class." /* .insider-raw-embed + p { display: none; } */ // The AI-Powered Solopreneur const seriesTitle = "The AI-Powered Solopreneur"; // Presented by const text = "Presented by"; // 69a20f411fb3fcb42648a47b const sponsorLogoID = "69a20f411fb3fcb42648a47b"; // Adobe Acrobat transparent logo 2 const altText = "Adobe Acrobat transparent logo 2"; //category/the-ai-powered-solopreneur const hubOrCatURL = "category/the-ai-powered-solopreneur"; document.documentElement.classList.add("gi-sponsor-module"); if ( document.querySelector(".gi-sponsor-module") && document.querySelector(".post-body") && !document.querySelector(".full-bleed-hero") && !document.querySelector(".is-enhanced") ) { document.querySelector(".post-hero").insertAdjacentHTML( "afterend", ` ${seriesTitle} ${text} ` ); } if ( document.querySelector(".gi-sponsor-module") && document.querySelector(".full-bleed-hero") && document.querySelector(".is-enhanced") ) { document.querySelector(".share-bar").insertAdjacentHTML( "beforebegin", ` ${seriesTitle} ${text} ` ); } if ( document.querySelector(".gi-sponsor-module") && document.querySelector(".post-overline") ) { document.querySelector( ".post-overline" ).innerHTML = `${seriesTitle}`; } Read the original article on Business Insider

Towards Data Science
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Agentic AI: How to Save on Tokens

By Ida Silfverskiöld

Caching, lazy-loading, routing, compaction, and more The post Agentic AI: How to Save on Tokens appeared first on Towards Data Science.