Artificial intelligence Archives | Page 446 of 692

China bets big on humanoid robots to transform factories

Chinese start-up AgiBot is leading the charge in humanoid robotics, using data-intensive training to develop machines capable of everyday tasks like folding clothes and making sandwiches.

Backed by strong government support and over $20 billion in recent subsidies, China sees these AI-powered robots as a way to maintain its manufacturing edge amid demographic decline and global trade tensions. President Xi Jinping’s recent visit to AgiBot underlined the political significance of this push.

Humanoid robots in China are rapidly advancing beyond demonstration, with models already performing somersaults and quality checks on production lines. With the cost of components falling and state-backed funding expanding, firms like Unitree and UBTech are entering or preparing for mass production.

Analysts predict global sales of humanoid robots could reach one million annually by 2030, with China dominating both manufacturing and the underlying supply chains. The rise of humanoids has raised concerns over job displacement in a nation with over 120 million factory workers.

Lawmakers are debating AI-related unemployment insurance, while others argue robots can fill roles that are dull, dangerous or undesirable. The technology is also being positioned as a solution for elderly care, with firms like Ant Lingbo developing service robots for ageing populations.

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Google tests AI tool to automate software development

Google is internally testing an advanced AI tool designed to support software engineers through the entire development cycle, according to The Information. The firm is also expected to demonstrate integration between its Gemini chatbot in voice mode and Android-powered XR headsets.

The agentic AI assistant is said to handle tasks such as code generation and documentation, and has already been previewed to staff and developers ahead of Google’s I/O conference on 20 May. The move reflects a wider trend among tech giants racing to automate programming.

Amazon is developing its own coding assistant, Kiro, which can process both text and visual inputs, detect bugs, and auto-document code. While AWS initially targeted a June launch, the current release date remains uncertain.

Microsoft and Google have claimed that around 30% of their code is now AI-generated. OpenAI is also eyeing expansion, reportedly in talks to acquire AI coding start-up Windsurf for $3 billion.

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German watchdog demands Meta stop AI training with EU user data

The Verbraucherzentrale North Rhine-Westphalia (NRW), a regional data protection authority in Germany, has issued a formal warning to Meta, urging the tech giant to stop training its AI models using data from European users.

The regulator argues that Meta’s current approach violates EU privacy laws and may lead to legal action if not halted. Meta recently announced that it would use content from Facebook, Instagram, WhatsApp, and Messenger—including posts, comments, and public interactions—to train its AI systems in Europe.

The company claims this will improve the performance of Meta AI by helping it better understand European languages, culture, and history.

However, data protection authorities from several EU countries, including Belgium, France, and the Netherlands, have expressed concern and encouraged users to act before Meta’s new privacy policy takes effect on 27 May.

The NRW DPA took the additional step of sending Meta a cease-and-desist letter on 30 April. Should Meta ignore the request, legal action could follow.

Christine Steffen, data protection expert at NRW, said that once personal data is used to train AI, it becomes nearly impossible to reverse. She criticised Meta’s opt-out model and insisted that meaningful user consent is legally required.

Austrian privacy advocate Max Schrems, head of the NGO Noyb, also condemned Meta’s strategy, accusing the company of ignoring EU privacy law in favour of commercial gain.

‘Meta should simply ask the affected people for their consent,’ he said, warning that failure to do so could have consequences across the EU.

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US scraps Biden AI chip export rule

The US Department of Commerce has scrapped the Biden administration’s Artificial Intelligence Diffusion Rule just days before it was due to come into force.

Introduced in January, the rule would have restricted the export of US-made AI chips to many countries for the first time, while reinforcing existing controls.

Rather than enforcing broad restrictions, the Department now intends to pursue direct negotiations with individual countries.

The original rule divided the world into three tiers, with countries like Japan and South Korea spared restrictions, middle-tier countries such as Mexico and Portugal facing new limits, and nations like China and Russia subject to tighter controls.

According to Bloomberg, a replacement rule is expected at a later date.

Instead of issuing immediate new regulations, officials released industry guidance warning companies against using Huawei’s Ascend AI chips and highlighted the risks of allowing US chips to train AI in China.

Secretary Jeffrey Kessler criticised the Biden-era policy, promising a ‘bold, inclusive’ AI strategy that works with allies while limiting access for adversaries.

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US Copyright Office avoids clear decision on AI and fair use

The US Copyright Office has stopped short of deciding whether AI companies can legally use copyrighted material to train their systems under fair use.

Its newly released report acknowledges that some uses—such as non-commercial research—may qualify, while others, like replicating expressive works from pirated content to produce market-ready AI output, likely won’t.

Rather than offering a definitive answer, the Office said such cases must be assessed by the courts, not through a universal standard.

The latest report is the third in a series aimed at guiding how copyright law applies to AI-generated content. It reiterates that works entirely created by AI cannot be copyrighted, but human-edited outputs might still qualify.

The 108-page document focuses heavily on whether AI training methods transform content enough to justify legal protection, and whether they harm creators’ livelihoods through lost sales or diluted markets.

Instead of setting new policy, the Office highlights existing legal principles, especially the four factors of fair use: the purpose, the nature of the work, the amount used, and the impact on the original market.

It notes that AI-generated content can sometimes alter original works meaningfully, but when styles or outputs closely resemble protected material, legal risks remain. Tools like content filters are seen as helpful in preventing infringement, even though they’re not always reliable.

The timing of the report has been overshadowed by political turmoil. President Donald Trump reportedly dismissed both the Librarian of Congress and the head of the Copyright Office days before the report’s release.

Meanwhile, creators continue urging the government not to permit fair use in AI training, arguing it threatens the value of original work. The debate is now expected to unfold further in courtrooms instead of regulatory offices.

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Jamie Lee Curtis calls out Zuckerberg over AI scam using her likeness

Jamie Lee Curtis has directly appealed to Mark Zuckerberg after discovering her likeness had been used without consent in an AI-generated advert.

Posting on Facebook, Curtis expressed her frustration with Meta’s lack of proper channels to report such abuse, stating she had exhausted all official avenues before resorting to a public plea.

The fake video reportedly manipulated footage from an emotional interview following the January wildfires in Los Angeles, inserting false statements under the guise of a product endorsement.

Instead of remaining silent, Curtis urged Zuckerberg to take action, saying the unauthorised content damaged her integrity and voice. Within hours of her public callout, Meta confirmed the video had been removed for breaching its policies, a rare example of a swift response.

‘It worked! Yay Internet! Shame has its value!’ she wrote in a follow-up, though she also highlighted the broader risks posed by deepfakes.

The actress joins a growing list of celebrities, including Taylor Swift and Scarlett Johansson, who’ve been targeted by AI misuse.

Swift was forced to publicly clarify her political stance after an AI video falsely endorsed Donald Trump, while Johansson criticised OpenAI for allegedly using a voice nearly identical to hers despite her refusal to participate in a project.

The issue has reignited concerns around consent, misinformation and the exploitation of public figures.

Instead of waiting for further harm, lawmakers in California have already begun pushing back. New legislation signed by Governor Gavin Newsom aims to protect performers from unauthorised digital replicas and deepfakes.

Meanwhile, in Washington, proposals like the No Fakes Act seek to hold tech platforms accountable, possibly fining them thousands per violation. As Curtis and others warn, without stronger protections, the misuse of AI could spiral further, threatening not just celebrities but the public as a whole.

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Autonomous AI agents are the next phase of enterprise automation

Organisations across sectors are turning to agentic automation—an emerging class of AI systems designed to think, plan, and act autonomously to solve complex, multi-step problems.

Unlike traditional automation tools, which follow rigid rules, agentic systems use large language models (LLMs) and robotic process automation (RPA) to navigate ambiguity and make contextual decisions.

‘Agentic automation is the next generation of automation,’ said UiPath VP Robbie Mackness. ‘It’s about creating systems that can observe, reason, and act with minimal human input.’

Early adopters include the financial sector, where over 25% of firms plan to deploy agentic solutions this year, according to Bank Automation News.

Companies like BlackLine are using it to automate high-judgement accounting tasks, while public sector agencies like the US Navy are trialling the technology for logistics and admin workloads. The recruitment industry is also exploring AI agents for candidate screening and initial assessments.

Experts caution that success depends on identifying the right use cases and implementing proper governance. Still, the potential is clear: agentic automation could unlock entirely new capabilities and redefine how complex work gets done.

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Morrisons tests Tally robots amid job cut fears

Supermarket giant Morrisons has introduced shel f-scanning robots in several of its UK stores as part of a push to streamline operations and improve inventory accuracy.

The robots, known as Tally, are currently being trialled in three branches—Wetherby, Redcar, and Stockton—where they autonomously roam aisles to monitor product placement, stock levels, and pricing.

Developed by US-based Symbi Robotics, Tally is the world’s first autonomous item-scanning robot, capable of scanning up to 30,000 items per hour with 99% accuracy.

Already in use by major international retailers including Carrefour and Kroger, the robot is designed to operate in a range of retail environments, from chilled aisles to traditional shelves.

Morrisons says the robots will enhance store efficiency and reduce out-of-stock issues, but the move has sparked concern after reports that as many as 365 employees could lose their jobs due to automation.

The robots are part of a broader trend in retail toward AI-powered tools that boost productivity—but often at the expense of human labour.

Tally units are slim, mobile, and equipped with friendly digital faces. They return automatically to their charging stations when power runs low, and operate with minimal staff intervention.

While Morrisons has not confirmed a wider rollout in the UK, the trial reflects a growing shift in retail automation. As AI technologies evolve, companies are weighing the balance between operational gains and workforce impact.

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Some Google apps are better off without AI

With Google I/O 2025 around the corner, concerns are growing about artificial intelligence creeping into every corner of Google’s ecosystem. While AI has enhanced tools like Gmail and Photos, some users are urging Google to leave certain apps untouched.

These include fan favourites like Emoji Kitchen, Google Keep, and Google Wallet, which continue to shine due to their simplicity and human-focused design. Critics argue that introducing generative AI to these apps could diminish what makes them special.

Emoji Kitchen’s handcrafted stickers, for example, are widely praised compared to Apple’s AI-driven alternatives. Likewise, Google Keep and Wallet are valued for their light, efficient interfaces that serve clear purposes without AI interference.

Even in environments where AI might seem useful, such as Android Auto and Google Flights, the call is for restraint. Users appreciate clear menus and limited distractions over chatbots making unsolicited suggestions.

As AI continues to dominate tech conversations, a growing number of voices are asking Google to preserve the balance between innovation and usability.

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New AI tool predicts post-surgery infection risk

Leiden University Medical Center (LUMC) has developed a pioneering AI model, PERISCOPE, designed to predict infection risk in patients following surgery. PERISCOPE will become a standard tool at LUMC, with full implementation expected by mid-2026.

Based on data from over 250,000 surgical procedures, the tool provides a personalised risk assessment within seven to thirty days post-operation, helping healthcare providers intervene earlier and reduce complications.

The AI model, developed by PhD researcher Siri van der Meijden, uses pseudonymised patient data including medical history, vital signs and existing conditions to identify those most at risk.

During testing, PERISCOPE performed as well as experienced doctors and outperformed less experienced ones, making it a valuable decision-support tool. Once fully adopted, the tool is expected to save time, improve patient outcomes, and potentially predict other complications.

Rather than replace clinicians, it complements their judgement by offering a clear, visual dashboard of infection risk levels. Integration into hospital systems remains a challenge, but preparations are underway.

Van der Meijden continues to develop the model to expand its predictive capabilities and ensure long-term impact not only in the Netherlands, but globally.

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