Latest UK & Global AI News

China unveils measures to boost 'AI plus consumption'

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June 18 (Reuters) - Meta ⁠Platforms has secured new agreements to get AI ⁠computing power from data center developer Crusoe, Bloomberg News ‌reported on Thursday, as it strengthens infrastructure required to support its AI expansion.

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A 21-year-old New Yorker was indicted on a federal cyberstalking charge after prosecutors say he used AI to create and spread fake nude images and racist posts about a Georgia student.

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June 18 (Reuters) - OpenAI on ⁠Thursday launched new usage analytics and updated spend controls ⁠for its ChatGPT Enterprise platform, designed to provide clients with ‌greater visibility and management over their AI deployments.

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Trevor Forrest, Senior Advisor to Science and Technology Minister Dr Andrew Wheatley, says artificial intelligence training will soon become mandatory for government workers across Jamaica’s public sector. The programme aims to help public servants understand AI, its ethical use and how it can improve efficiency within ministries, departments and agencies.

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As businesses race to solve how AI agents transact, the layer that governs their behaviour has been missing. Affinidi and CardInfoLink have now put it into live production. SINGAPORE, June 19, 2026 /PRNewswire/ -- CardInfoLink has deployed Agent Gateway on Agenzo, its agentic commerce platform for travel and hospitality merchants, making it what is believed to be the first commercial deployment in Asia to operate AI agents under an independent trust and governance layer. Every AI agent connecting to CardInfoLink's merchants does so through a governed, auditable channel, on open standards, without disrupting the payment infrastructure beneath it. CardInfoLink operates live merchant-acquiring infrastructure across Asia, with more than 15 years in payment processing. Affinidi is an active contributor to the Linux Foundation and the standards bodies shaping the next wave of digital trust infrastructure. With Agenzo, consumers can instruct AI agents to book a ride, a flight, or a hotel, confirming each purchase as they go. The Agent Gateway governs agent interactions in the background, creating a cryptographically verifiable record of all interactions and allowing only authorised agents to transact, with clear accountability established across all parties. All of this happens in the background, so the experience is unchanged for both the consumer and the merchant. For the business, the agent-readiness process is simplified for merchants by enabling faster implementation through simple configuration with no complex changes to existing systems. This allows them to open their services and products to AI agents through proper governance, and with trust handled at the system boundary rather than custom-built for every integration. As AI agents begin to act inside commercial systems, the open question is not whether they can transact but who is accountable when they do. In its 2026 Future of Fraud Forecast, Experian named the inability to distinguish legitimate agents from malicious ones as the top fraud threat to businesses this year, warning that machine-to-machine transactions are being initiated without clear ownership of liability. Gartner expects more than 40% of agentic AI projects to be cancelled by the end of 2027, citing escalating costs, unclear value, and inadequate risk controls. In January 2026, Singapore's IMDA introduced the world's first governance framework for agentic AI, calling for bounded AI agent autonomy, human accountability, and technical controls as the recommended baseline. Agent Gateway, part of the Affinidi Trust Fabric Suite, is built to meet that bar. "A shipping container reorganised global trade not because it was clever but because it was standardised. Agentic commerce needs the same: one trusted, standardised way for an AI agent to interact with a merchant. We run real infrastructure with real merchants and real consequences, so we could not add agents without it. The Agent Gateway gave us that, inside the systems we already use," said Hyman Zhu, Co-Founder of CardInfoLink. "AI Governance and payment processing are distinct problems and challenges, and they need separate infrastructure. The Agent Gateway is the layer that governs how an AI agent connects to the systems it acts on, independent of how the payment is settled. That layer has been missing from production. With CardInfoLink, it is now running, and every business putting agents to work will need it," said Glenn Gore, CEO of Affinidi. This deployment is the first live proof of an approach that the wider industry has been calling for, a layer that lets AI agents act inside real systems under governance built in from the start. For Affinidi, agentic commerce for travel and hospitality is the first commercial use of a trust layer built to span industries, from payments to healthcare and beyond. Both companies see it as the start of an agent economy that is accountable by default. About Agenzo Agenzo is the AI payment brand developed by Evonet and CardInfoLink. It focuses on helping AI agents complete payments in a safe, simple, and compliant way. Agenzo connects AI agents, merchants, wallets, payment networks, and acquirers. It allows an AI agent to understand a customer's payment intent, create an order, request payment authorisation, and complete the transaction through a trusted payment infrastructure. Agenzo has worked on agentic payment use cases such as travel booking, retail, EV charging, loyalty, QR payment, and merchant checkout. Its goal is to make AI-driven commerce easier for merchants, safer for consumers, and more practical for financial institutions and payment partners. About CardInfoLink CardInfoLink is a payment technology company founded in 2010. The company provides payment infrastructure, acquiring systems, gateway solutions, wallet technology, risk management tools, and payment security services for banks, payment institutions, merchants, and technology partners. CardInfoLink has served customers across Asia and supported many types of payment services, including card acquiring, QR payment, online payment, 3D Secure, settlement, dispute handling, and fraud prevention. Over the years, CardInfoLink has built strong experience in payment system development, cross-border payment connectivity, and financial-grade technology operations. The company continues to support banks, acquirers, PSPs, and merchants with reliable and flexible payment solutions. About Agent Gateway The Agent Gateway, part of the Affinidi Trust Fabric suite, is the trust and governance layer for agentic AI. Built on open standards to avoid vendor lock-in, it gives every AI agent a cryptographic identity, enforces policy at runtime, produces tamper-evident audit trails, and secures messaging across organisational and cloud boundaries. Agent Gateway is built for production workloads that demand multiple agentic flows within and across organisations, meeting the audit requirements of strict regulatory and governance models. Agent Gateway holds AI agents and human actors accountable, traceable, and auditable at scale, enabling businesses to extend their reach to more customers, more data, and more partners without sacrificing governance or control. To learn more, visit affinidi.com/trust-fabric. About Affinidi Affinidi is a Temasek-founded technology company building trust infrastructure for AI agents and the digital economy. Founded in 2020 and headquartered in Singapore, with teams in Bangalore and Berlin, Affinidi provides builders and organisations with the tools to enable verifiable, privacy-preserving interactions between people, businesses, and the systems that serve them. Its technology spans governance infrastructure for AI agents, verifiable credential management, trust registries, and developer tooling, all built on open standards for full interoperability, to avoid vendor lock-in. An active contributor to the Linux Foundation, W3C, and the Decentralized Identity Foundation. Visit www.affinidi.com for more information.

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DH NEWS SERVICEParis, jun 18Prime Minister Narendra Modi on Thursday asserted that technology can lead to progress only if it is democratised and said AI means “All Inclusive” for India.His remarks at a global technology summit come against the backdrop of the US restricting the use of Anthropic’s latest Artificial Intelligence (AI) models for foreign [...]

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Adobe expands AI creative agent across Creative Cloud Tech in Asia Premiere is getting an AI Assistant by Scott Simmons - ProVideo Coalition ProVideo Coalition Adobe Firefly Graph for Enterprise Creative Workflows Adobe for Business Adobe’s new AI Assistant tackles the more boring side of editing inside Photoshop and Premiere Digital Camera World Adobe solves one of AI's most maddening problems amongst a ton of other announcements Creative Bloq

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Malaysia and Russia are looking to deepen cooperation in energy, digital technology and trade following talks between Prime Minister Datuk Seri Anwar Ibrahim and Russian President Vladimir Putin. In a statement, the Prime Minister’s Office (PMO) said both leaders discussed a wide range of bilateral issues, including opportunities to strengthen collaboration in the energy sector, [...]

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Renesas said the technology targets automotive, robotics, and industrial equipment applications. Terms were not disclosed.

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SK Hynix ships samples of next-gen memory; shares surge to record high

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OpenAI has launched its first official Partner Network, putting $150 million behind a plan to certify 300,000 AI consultants by the end of 2026. Here's what the move means for businesses building AI into their operations, and how it could affect the tools you use. The post OpenAI’s New Partner Network Bets $150M on Enterprise AI appeared first on Memeburn .

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(MENAFN - MeUp Ltd) The Bay Area captured 76% of U.S. AI funding in 2025. The other 24% is quietly building the infrastructure layer that the next decade runs on. In 2025, the world invested ...

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Few AI use cases elicit more outrage than writing: Using AI makes writing duller ... dumber ... robotic. It kills thinking ... creativity ... originality. It produces sameness and slop! Why it matters: All that's true — if you, as the teacher or writer, allow it to be true. Lazy AI outsourcing means lazy thinking and writing. Used with persistence and skill, AI can enhance both your thoughts and expression. I'm thinking and writing more and better than ever. But I want to be frank and useful about what I've learned about writing and the limits I've hit since turning myself into an AI lab rat : Caution 1: I'm 55, a writer by training, went in aware of AI dangers, and am a prolific writer with or without it. Anyone lazily letting AI do their thinking or writing is playing with fire: You're destined to create a mushy, "blah brain." Hope the tips that follow help you build a bionic brain instead. Caution 2, from Autumn, my wife, who's more of an AI skeptic: "Don't conflate the way you write and the utility of AI to convey information with soul writing that many of us need to live, breathe and understand the world around us. Living without that is like trying to live without air for many of us — it needs to be said somehow." Between the lines: As AI tools get more powerful, Axios will stay transparent with you about how we use them. (Our website includes a detailed explanation of how we use AI in our journalism.) This column captures my latest thinking on best practices. So here's the nitty-gritty of how I use AI for writing: Set rules based on your standards, not AI's. I write into the model's memory: My writing flows from my thinking. So challenge me, never flatter me; press me with wise skepticism. Then write like me — always in Smart Brevity — to match my style. Be very precise about the writing and editing style. I have mine wired into the AI memory (just tell it to commit style to memory) and in a skills document for my AI agents. My rules: short, sharp sentences ... clinical, fact-based emphasis ... context flagged as "Why it matters" ... and supporting points stacked in bullet form in order of importance. Pour in examples. You need to feed in the original work you're most proud of. It can be as simple as diary entries, memos or a school project. Make sure your writing and editing priorities are reflected in it. I've dumped in every Axios column, memo and strategic document, as well as four books (two unreleased). Let's pause for a second. Those are very clear parameters for writing and editing with AI. That will suffice for most people in most instances. I've taken my own AI journey much further. I'm doing this to test limits and capabilities. Advanced writing with AI: Create specific advanced skills. I use both projects (mainly in Claude, but increasingly in ChatGPT) and agents (in ChatGPT's Codex). Inside projects and agents, my thinking, writing and editing files are much more specific and richer. They're called skills or instructions, depending on the platform or use case. I detail a fact-checking skill to double-check data points, then move outside the agent for another fact-check with a safety-net skill. Interact with projects and agents a lot. You need to create a conversation loop, where you get better at fine-tuning the writing output, and the AI gets better at understanding your style. It definitely gets better with time. You want to find a mind meld that serves and betters you. Put it to the test. My laboratory is my Axios C-Suite newsletter, which I publish Saturdays for CEOs and other executives. I'm testing and using two main things: I have a project inside of Claude that knows everything I've written for this audience, plus my thinking about business and leadership, and the high standards I have for ideas and data. I have a similar agent that operates autonomously, powered by Codex, that constantly scans high-quality publications, data projects and research for relevant information. It writes up ideas in my style and delivers them via email before I wake up. The items are good, smart starters or enhancers — but they're never camera-ready, at least by my standards. Push and pull — a lot. Funny thing: I write naturally in an AI kind of way — direct, sparse, lots of dashes. And AI naturally writes a lot like me (and naturally loves Smart Brevity). So I find the output often excellent, well-documented and edited better than my favorite human editor, Mike Allen. It still does weird stuff, but rarely. It's wordier and less direct than I am. Increasingly, I find myself using its edits or proposed Jim-like phrases as naturally as the notes from Mike or any other human editor. Fun new test: I'm preparing to hike Kilimanjaro, so I'm doing a lot of rucking. I've been using Claude in voice mode to have long conversations about things I want to write. I have Claude keep detailed notes, pull out my best phrases and ideas, challenge my assumptions, help organize my thinking. Then we go back and forth by voice before producing a draft column. That's how I got both the idea and the output for my " Confessions of an AI lab rat " column. The end product was a hybrid of my thinking and my best phrases alongside Claude's real-time editing and editor-like pushback. The bottom line: I hope this inspires you to try some of these discoveries yourself. Let me know what you think: finishline@axios.com . 📈 If you're a CEO or on a CEO's team: Ask to join Jim's new weekly Axios C-Suite newsletter.

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ChatGPT’s share of the AI assistant market has fallen below 50% for the first time, as rivals Google Gemini and Anthropic Claude gain ground. The report suggests users are increasingly willing to switch platforms based on trust, integration and productivity strengths.

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Enterprises have poured billions into artificial intelligence infrastructure — GPUs, cloud capacity, model tooling — yet most deployments remain mired in experimentation rather than generating measurable business value. The bottleneck is not compute. It is AI ready data. The gap between owning data and having AI ready data is proving to be the defining obstacle [...] The post AI ready data is the missing link keeping enterprise AI stuck in pilot mode appeared first on SiliconANGLE .

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BENGALURU: Noam Shazeer, a vice president of engineering at Google and co-lead of its Gemini artificial intelligence models, said on Wednesday that he will leave the company to join IPO-bound OpenAI, the maker of ChatGPT.

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How to turn off AI in your Google Docs TechCrunch "You should arrive at the exam properly prepared, not the AI" CTech It's Travis' Turn: I don't want or need AI's 'help' Alexandria Echo Press Guide for Google Docs Users: How to Disable Gemini AI Zamin.uz

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With 64% of small businesses running solo, the commerce platform pivots to easing post-launch workloads and eliminating hidden app fees. SYDNEY, June 18, 2026 /PRNewswire/ -- Global AI-native commerce platform Shoplazza is targeting Australia's growing army of side-hustlers and solo founders strugg...

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NTU spinout secures seed investment from Fuel Ventures Asia; early deployment cuts a manufacturer's quotation generation workflow time from 45 minutes to under 5 minutes SINGAPORE, June 18, 2026 /PRNewswire/ -- Enterprise AI has a memory problem. Every session starts blank—with no organisational co...

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EVIAN, June 18 — OpenAI chief executive Sam Altman urged world leaders at the G7 summit yesterday not to surrender...

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A federal judge has rebuffed Workday’s claim that it cannot be held liable under California anti-discrimination laws when its tools are used to screen (and potentially reject) job candidates in other states. This week, US District Judge Rita Lin indicated that she will likely allow additional state discrimination claims against Workday to move forward. This would significantly expand the closely-watched case and likely ratchet up scrutiny of AI recruiting tools and their potentially inherent biases when it comes to age, race, sex, disabilities, and other factors. Further, it could indicate that, even if a company is not the final employer, it may be held liable if its tools materially influence who gets rejected. This could set new legal standards for AI hiring systems, and have implications across industries, experts note. “This case reinforces the importance of actually managing AI risks,” said Valence Howden , advisory fellow at Info-Tech Research Group. “If an AI-enabled model or ATS [Applicant Tracking System] is making decisions based on historical information, it can raise questions about whether bias in outcomes and datasets has been properly addressed.” The case so far Mobley v. Workday, Inc. alleges that Workday’s AI screening tools discriminate against job seekers based on age, race, and disability. The suit was filed in 2024 in the US District Court of California by Derek Mobley, a Black disabled man over 40, who claimed Workday’s algorithms continually screened him out as he applied for more than 100 positions on the platform. The claims alleged discrimination prohibited by several US and California statutes: Race and sex under the Civil Rights Act of 1964 (Title VII); disability under the Americans with Disabilities Act of 1990 (ADA); age under the Age Discrimination in Employment Act of 1967 (ADEA); and race, gender, and age under California Fair Employment and Housing Act (FEHA). Specifically, the suit centered around Workday’s use of automated, algorithm-driven tools for applicant screening . It alleged that these systems rely on historical data and statistical modeling that can make them susceptible to existing biases, even if protected characteristics like race, age, sex, or disability are not explicitly provided. Bias may enter these systems in different ways, the plaintiffs argued, including via training data, model design, and evaluation criteria for candidate fit. The system could reproduce discriminatory outcomes by making correlations from data. For instance, years of experience on a resumé may indicate age; long employment gaps may infer a disability or caregiving responsibilities; educational and institutional affiliations could reflect race. Workday has argued that it is not subject to liability under employment statutes because it does not qualify as the job applicants’ “employer.” But federal judges have allowed key parts of the lawsuit to move forward, ruling that Workday could potentially be treated as an employer’s “agent” for the purposes of anti-discrimination law. The latest dispute centers on FEHA. According to legal sources, the California statute is among the strongest anti-discrimination laws in the US, in many cases providing broader protections than federal employment laws. Workday asked the court to dismiss claims brought under California law, saying FEHA should not apply to the hiring decisions of out-of-state employers and applicants. The company’s lawyers argued that enforcing this would effectively allow California law to supersede that of other states, just because a company used their platform. But Lin disagreed, saying FEHA does apply, and in fact, Workday is directly liable for its “own engagement in FEHA-regulated activities on the employer’s behalf.” Holding businesses liable for “their own discriminatory conduct” is within the scope and purposes of FEHA and consistent with public policy. However, the issue is still to be decided; Lin did not indicate when she would release a final ruling. Workday’s defense A Workday spokesperson called the claims in the suit “false.” “Workday’s AI recruiting tools don’t make hiring decisions and are designed with human oversight at their core,” the spokesperson told CIO. “Our technology looks only at job qualifications, not protected traits like race, age, or disability. We rigorously test our products as part of our responsible AI program to confirm our tools do not harm protected groups.” Workday’s platform is meant to provide insights on how well a candidate’s qualifications match the requirements of a posted job, the company said. Those tools focus only on qualifications listed in a candidate’s application, which are compared to qualifications identified by the employer as important for the job. Workday’s Chief Responsible AI Officer Kelly Trindel said its AI does not make employment decisions, automatically reject candidates, or determine who gets a job; further, she said, there is no evidence that the company’s tools result in harm to protected groups. Trindel, who is former chief analyst of the Equal Employment Opportunity Commission (EEOC), leads a dedicated team composed of psychologists and PhD-level data scientists whose sole focus is to ensure that its AI is “responsible, fair, and ethical.” She said that the company’s AI systems undergo ongoing reviews throughout their lifecycle to help prevent unintended consequences, and Workday is “committed to accountability, transparency, and trust,” and invests “significant resources” into identifying and mitigating bias. Further, she said, Workday has a company-wide commitment to ethical AI, and an independently-evaluated AI governance program based on standards from the National Institute of Standards and Technology (NIST) and the International Standards Organization (ISO). “Workday builds AI to support people, not replace them, and this is of particular importance when it comes to hiring,” Trindel noted. Its platform is designed to help employers “manage high-volume processes more efficiently, surface relevant information, and reduce administrative work so teams can spend more time applying their expertise and judgement to hiring decisions.” What this means for enterprise leaders Workday isn’t alone in its legal challenges; other AI hiring tools are also being scrutinized over their methodologies, algorithms, and data-collecting practices. Eightfold, for one, is also facing a California class action lawsuit alleging that its tools unfairly rely on job candidates’ online data to predict whether they’d be a good fit for a position. This means that enterprises, who are already feeling increased pressure to document hiring decisions, conduct AI bias audits, and maintain human oversight in recruitment and hiring, must be even more diligent in their vetting of AI tools. Organizations must be actively defining how these recruitment tools should work, identifying bias in their algorithms, and setting up structures to test for bias across the tools’ decision-making logic, Info-Tech’s Howden advised. “Validation of non-biased outcomes also needs to be active and ongoing, rather than a point-in-time exercise,” he said. While Workday and others say human oversight is paramount, “it’s hard to incorporate humans into the process if the platform does the weeding out before humans have the ability to intervene,” Howden pointed out. Discriminatory biases can exist in past hiring decisions, so it’s easy to forget that AI can “emulate and adapt those biases as part of its perspective,” he said. That includes how AI looks at language: Different cultures use different phrasing, and AI can capture that and use it to exclude candidates. Ultimately, he called the case a “cautionary tale” illustrating how lightly some organizations have been treating AI risk. It also highlights the urgency involved in building out more advanced enterprise risk practices, “rather than relying on the limited capabilities they may have employed up until now.” This article originally appeared on CIO.com .

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Hello, Artificial intelligence startup Sarvam AI has raised $234 million in the first close of its Series B funding round, marking one of the largest funding rounds for an Indian AI company to date and propelling the company into the unicorn club. The investment values the company at $1.5 billion and is led by HCLTech, one of India’s largest technology services firms, alongside global venture capital investor Bessemer Venture Partners. Existing backers Khosla Ventures and Peak XV Partners also participated in the round. The funding comes at a time when India is seeking to strengthen its domestic AI capabilities amid a global race to build advanced AI systems. In other news, concerns over the impact of social media on children’s mental health and online safety are prompting governments worldwide to tighten regulations on tech platforms. On Monday, UK Prime Minister Keir Starmer announced plans to ban social media platforms from offering services to users under 16. The prop..

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OpenAI burned $3.7 billion in first quarter of 2026- The Information

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