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US House passes NTIA cyber leadership bill after Salt Typhoon hacks

The US House of Representatives has passed legislation that would officially designate the National Telecommunications and Information Administration (NTIA) as the federal lead for cybersecurity across communications networks.

The move follows last year’s Salt Typhoon hacking spree, described by some as the worst telecom breach in US history.

The National Telecommunications and Information Administration Organization Act, introduced by Representatives Jay Obernolte and Jennifer McClellan, cleared the House on Monday and now awaits Senate approval.

The bill would rebrand an NTIA office to focus on both policy and cybersecurity, while codifying the agency’s role in coordinating cybersecurity responses alongside other federal departments.

Lawmakers argue that recent telecom attacks exposed major gaps in coordination between government and industry.

The bill promotes public-private partnerships and stronger collaboration between agencies, software developers, telecom firms, and security researchers to improve resilience and speed up innovation across communications technologies.

With Americans’ daily lives increasingly dependent on digital services, supporters say the bill provides a crucial framework for protecting sensitive information from cybercriminals and foreign hacking groups instead of relying on fragmented and inconsistent measures.

Pentagon awards AI contracts to xAI and others after Grok controversy

The US Department of Defence has awarded contracts to four major AI firms, including Elon Musk’s xAI, as part of a strategy to boost military AI capabilities.

Each contract is valued at up to $200 million and involves developing advanced AI workflows for critical national security tasks.

Alongside xAI, Anthropic, Google, and OpenAI have also secured contracts. Pentagon officials said the deals aim to integrate commercial AI solutions into intelligence, business, and defence operations instead of relying solely on internal systems.

Chief Digital and AI Officer Doug Matty states that these technologies will help maintain the US’s strategic edge over rivals.

The decision comes as Musk’s AI company faces controversy after its Grok chatbot was reported to have published offensive content on social media. Critics, including Democratic lawmakers, have raised ethical concerns about awarding national security contracts to a company under public scrutiny.

xAI insists its Grok for Movement platform will help speed up government services and scientific innovation.

Despite political tensions and Musk’s past financial support for Donald Trump’s campaign, the Pentagon has formalised its relationship with xAI and other AI leaders instead of excluding them due to reputational risks.

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Nvidia to restart China AI chip sales after US talks

Nvidia has announced plans to resume sales of its H20 AI chip in China, following meetings between CEO Jensen Huang and US President Donald Trump in Beijing.

The move comes after US export controls previously banned sales of the chip on national security grounds, costing Nvidia an estimated $15 billion in lost revenue.

The company confirmed it is filing for licences with the US government to restart deliveries of the H20 graphics processing unit, expecting approval shortly.

Nvidia also revealed a new RTX Pro GPU designed specifically for China, compliant with US export rules, offering a lower-cost alternative instead of risking further restrictions.

Huang, attending a supply chain expo in Beijing, described China as essential to Nvidia’s growth, despite rising competition from local firms like Huawei.

Chinese companies remain highly dependent on Nvidia’s CUDA platform, while US lawmakers have raised concerns about Nvidia engaging with Chinese entities linked to military or intelligence services.

Nvidia’s return to the Chinese market comes as Washington and Beijing show signs of easing trade tensions, including relaxed rare earth export rules from China and restored chip design services from the US.

Analysts note, however, that Chinese firms are likely to keep diversifying suppliers instead of relying solely on US chips for supply chain security.

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Mexican voice actors demand AI regulation over cloning threat

Mexican actors have raised alarm over the threat AI poses to their profession, calling for stronger regulation to prevent voice cloning without consent.

From Mexico City’s Monument to the Revolution, dozens of audiovisual professionals rallied with signs reading phrases like ‘I don’t want to be replaced by AI.’ Lili Barba, president of the Mexican Association of Commercial Announcements, said actors are urging the government to legally recognise the voice as a biometric identifier.

She cited a recent video by Mexico’s National Electoral Institute that used the cloned voice of the late actor Jose Lavat without family consent. Lavat was famous for dubbing stars like Al Pacino and Robert De Niro. Barba called the incident ‘a major violation we can’t allow.’

Actor Harumi Nishizawa described voice dubbing as an intricate art form. She warned that without regulation, human dubbing could vanish along with millions of creative jobs.

Last year, AI’s potential to replace artists sparked major strikes in Hollywood, while Scarlett Johansson accused OpenAI of copying her voice for a chatbot.

Streaming services like Amazon Prime Video and platforms such as YouTube are now testing AI-assisted dubbing systems, with some studios promoting all-in-one AI tools,

In South Korea, CJ ENM recently introduced a system combining audio, video and character animation, highlighting the pace of AI adoption in entertainment.

Despite the tech’s growth, many in the industry argue that AI lacks the creative depth of real human performance, especially in emotional or comedic delivery. ‘AI can’t make dialogue sound broken or alive,’ said Mario Heras, a dubbing director in Mexico. ‘The human factor still protects us.’

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AI fake news surge tests EU Digital Services Act

Europe is facing a growing wave of AI-powered fake news and coordinated bot attacks that overwhelm media, fact-checkers, and online platforms instead of relying on older propaganda methods.

According to the European Policy Centre, networks using advanced AI now spread deepfakes, hoaxes, and fake articles faster than they can be debunked, raising concerns over whether EU rules are keeping up.

Since late 2024, the so-called ‘Overload’ operation has doubled its activity, sending an average of 2.6 fabricated proposals each day while also deploying thousands of bot accounts and fake videos.

These efforts aim to disrupt public debate through election intimidation, discrediting individuals, and creating panic instead of open discussion. Experts warn that without stricter enforcement, the EU’s Digital Services Act risks becoming ineffective.

To address the problem, analysts suggest that Europe must invest in real-time threat sharing between platforms, scalable AI detection systems, and narrative literacy campaigns to help citizens recognise manipulative content instead of depending only on fact-checkers.

Publicly naming and penalising non-compliant platforms would give the Digital Services Act more weight.

The European Parliament has already acknowledged widespread foreign-backed disinformation and cyberattacks targeting EU countries. Analysts say stronger action is required to protect the information space from systematic manipulation instead of allowing hostile narratives to spread unchecked.

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CISA 2015 expiry threatens private sector threat sharing

Congress has under 90 days to renew the Cybersecurity Information Sharing Act (CISA) of 2015 and avoid a regulatory setback. The law protects companies from liability when they share cyber threat indicators with the government or other firms, fostering collaboration.

Before CISA, companies hesitated due to antitrust and data privacy concerns. CISA removed ambiguity by offering explicit legal protections. Without reauthorisation, fear of lawsuits could silence private sector warnings, slowing responses to significant cyber incidents across critical infrastructure sectors.

Debates over reauthorisation include possible expansions of CISA’s scope. However, many lawmakers and industry groups in the United States now support a simple renewal. Health care, finance, and energy groups say the law is crucial for collective defence and rapid cyber threat mitigation.

Security experts warn that a lapse would reverse years of progress in information sharing, leaving networks more vulnerable to large-scale attacks. With only 35 working days left for Congress before the 30 September deadline, the pressure to act is mounting.

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AI can reshape the insurance industry, but carries real-world risks

AI is creating new opportunities for the insurance sector, from faster claims processing to enhanced fraud detection.

According to Jeremy Stevens, head of EMEA business at Charles Taylor InsureTech, AI allows insurers to handle repetitive tasks in seconds instead of hours, offering efficiency gains and better customer service. Yet these opportunities come with risks, especially if AI is introduced without thorough oversight.

Poorly deployed AI systems can easily cause more harm than good. For instance, if an insurer uses AI to automate motor claims but trains the model on biassed or incomplete data, two outcomes are likely: the system may overpay specific claims while wrongly rejecting genuine ones.

The result would not simply be financial losses, but reputational damage, regulatory investigations and customer attrition. Instead of reducing costs, the company would find itself managing complaints and legal challenges.

To avoid such pitfalls, AI in insurance must be grounded in trust and rigorous testing. Systems should never operate as black boxes. Models must be explainable, auditable and stress-tested against real-world scenarios.

It is essential to involve human experts across claims, underwriting and fraud teams, ensuring AI decisions reflect technical accuracy and regulatory compliance.

For sensitive functions like fraud detection, blending AI insights with human oversight prevents mistakes that could unfairly affect policyholders.

While flawed AI poses dangers, ignoring AI entirely risks even greater setbacks. Insurers that fail to modernise may be outpaced by more agile competitors already using AI to deliver faster, cheaper and more personalised services.

Instead of rushing or delaying adoption, insurers should pursue carefully controlled pilot projects, working with partners who understand both AI systems and insurance regulation.

In Stevens’s view, AI should enhance professional expertise—not replace it—striking a balance between innovation and responsibility.

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AI technology drives sharp rise in synthetic abuse material

AI is increasingly being used to produce highly realistic synthetic abuse videos, raising alarm among regulators and industry bodies.

According to new data published by the Internet Watch Foundation (IWF), 1,286 individual AI-generated abuse videos were identified during the first half of 2025, compared to just two in the same period last year.

Instead of remaining crude or glitch-filled, such material now appears so lifelike that under UK law, it must be treated like authentic recordings.

More than 1,000 of the videos fell into Category A, the most serious classification involving depictions of extreme harm. The number of webpages hosting this type of content has also risen sharply.

Derek Ray-Hill, interim chief executive of the IWF, expressed concern that longer-form synthetic abuse films are now inevitable unless binding safeguards around AI development are introduced.

Safeguarding minister Jess Phillips described the figures as ‘utterly horrific’ and confirmed two new laws are being introduced to address both those creating this material and those providing tools or guidance on how to do so.

IWF analysts say video quality has advanced significantly instead of remaining basic or easy to detect. What once involved clumsy manipulation is now alarmingly convincing, complicating efforts to monitor and remove such content.

The IWF encourages the public to report concerning material and share the exact web page where it is located.

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EU urges stronger AI oversight after Grok controversy

A recent incident involving Grok, the AI chatbot developed by xAI, has reignited European Union calls for stronger oversight of advanced AI systems.

Comments generated by Grok prompted criticism from policymakers and civil society groups, leading to renewed debate over AI governance and voluntary compliance mechanisms.

The chatbot’s responses, which circulated earlier this week, included highly controversial language and references to historical figures. In response, xAI stated that the content was removed and that technical steps were being taken to prevent similar outputs from appearing in the future.

European policymakers said the incident highlights the importance of responsible AI development. Brando Benifei, an Italian lawmaker who co-led the EU AI Act negotiations, said the event illustrates the systemic risks the new regulation seeks to mitigate.

Christel Schaldemose, a Danish member of the European Parliament and co-lead on the Digital Services Act, echoed those concerns. She emphasised that such incidents underline the need for clear and enforceable obligations for developers of general-purpose AI models.

The European Commission is preparing to release guidance aimed at supporting voluntary compliance with the bloc’s new AI legislation. This code of practice, which has been under development for nine months, is expected to be published this week.

Earlier drafts of the guidance included provisions requiring developers to share information on how they address systemic risks. Reports suggest that some of these provisions may have been weakened or removed in the final version.

A group of five lawmakers expressed concern over what they described as the last-minute removal of key transparency and risk mitigation elements. They argue that strong guidelines are essential for fostering accountability in the deployment of advanced AI models.

The incident also brings renewed attention to the Digital Services Act and its enforcement, as X, the social media platform where Grok operates, is currently under EU investigation for potential violations related to content moderation.

General-purpose AI systems, such as OpenAI’s GPT, Google’s Gemini and xAI’s Grok, will be subject to additional requirements under the EU AI Act beginning 2 August. Obligations include disclosing training data sources, addressing copyright compliance, and mitigating systemic risks.

While these requirements are mandatory, their implementation is expected to be shaped by the Commission’s voluntary code of practice. Industry groups and international stakeholders have voiced concerns over regulatory burdens, while policymakers maintain that safeguards are critical for public trust.

The debate over Grok’s outputs reflects broader challenges in balancing AI innovation with the need for oversight. The EU’s approach, combining binding legislation with voluntary guidance, seeks to offer a measured path forward amid growing public scrutiny of generative AI technologies.

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Grok AI chatbot suspended in Turkey following court order

A Turkish court has issued a nationwide ban on Grok, the AI chatbot developed by Elon Musk’s company xAI, following recent developments involving the platform.

The ruling, delivered on Wednesday by a criminal court in Ankara, instructed Turkey’s telecommunications authority to block access to the chatbot across the country. The decision came after public filings under Turkey’s internet law prompted a judicial review.

Grok, which is integrated into the X platform (formerly Twitter), recently rolled out an update to make the system more open and responsive. The update has sparked broader global discussions about the challenges of moderating AI-generated content in diverse regulatory environments.

In a brief statement, X acknowledged the situation and confirmed that appropriate content moderation measures had been implemented in response. The ban places Turkey among many countries examining the role of generative AI tools and the standards that govern their deployment.

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