South Korea has blamed weak femtocell security at KT Corp for a major mobile payment breach that triggered thousands of unauthorised transactions.
Officials said the mobile operator used identical authentication certificates across femtocells and allowed them to stay valid for ten years, meaning any device that accessed the network once could do so repeatedly instead of being re-verified.
More than 22,000 users had identifiers exposed, and 368 people suffered unauthorised payments worth 243 million won.
Investigators also discovered that ninety-four KT servers were infected with over one hundred types of malware. Authorities concluded the company failed in its duty to deliver secure telecommunications services because its overall management of femtocell security was inadequate.
The government has now ordered KT to submit detailed prevention plans and will check compliance in June, while also urging operators to change authentication server addresses regularly and block illegal network access.
Officials said some hacking methods resembled a separate breach at SK Telecom, although there is no evidence that the same group carried out both attacks. KT said it accepts the findings and will soon set out compensation arrangements and further security upgrades instead of disputing the conclusions.
A separate case involving LG Uplus is being referred to police after investigators said affected servers were discarded, making a full technical review impossible.
The government warned that strong information security must become a survival priority as South Korea aims to position itself among the world’s leading AI nations.
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Researchers are warning that AI chatbots may treat dialect speakers unfairly instead of engaging with them neutrally. Studies across English and German dialects found that large language models often attach negative stereotypes or misunderstand everyday expressions, leading to discriminatory replies.
A study in Germany tested ten language models using dialects such as Bavarian and Kölsch. The systems repeatedly described dialect speakers as uneducated or angry, and the bias became stronger when the dialect was explicitly identified.
Similar findings emerged elsewhere, including UK council services and AI shopping assistants that struggled with African American English.
Experts argue that such patterns risk amplifying social inequality as governments and businesses rely more heavily on AI. One Indian job applicant even saw a chatbot change his surname to reflect a higher caste, showing how linguistic bias can intersect with social hierarchy instead of challenging it.
Developers are now exploring customised AI models trained with local language data so systems can respond accurately without reinforcing stereotypes.
Researchers say bias can be tuned out of AI if handled responsibly, which could help protect dialect speakers rather than marginalise them.
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These rapidly produced AI videos aim to grab attention but make it harder for traditional creators to gain visibility. Analysis of top trending channels shows Spain leads in AI slop subscribers with 20.22 million, while South Korea’s channels have amassed 8.45 billion views.
India’s Bandar Apna Dost is the most-viewed AI slop channel, earning an estimated $4.25 million annually and showing the profit potential of mass AI-generated content.
The prevalence of AI slop and brainrot has sparked debates over creativity, ethics, and advertiser confidence. YouTube CEO Neal Mohan calls generative AI transformative, but rising automated videos raise concerns over quality and brand safety.
Researchers warn that repeated exposure to AI-generated content can distort perception and contribute to information overload. Some AI content earns artistic respect, but much normalises low-quality videos, making it harder for users to tell meaningful content from repetitive or misleading material.
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South Korea has introduced mandatory facial recognition for anyone registering a new SIM card or eSIM, whether in-store or online.
The live scan must match the photo on an official ID so that each phone number can be tied to a verified person instead of relying on paperwork alone.
Existing users are not affected, and the requirement applies only at the moment a number is issued.
The government argues that stricter checks are needed because telecom fraud has become industrialised and relies heavily on illegally registered SIM cards.
Criminal groups have used stolen identity data to obtain large volumes of numbers that can be swapped quickly to avoid detection. Regulators now see SIM issuance as the weakest link and the point where intervention is most effective.
Telecom companies must integrate biometric checks into onboarding, while authorities insist that facial data is used only for real-time verification and not stored. Privacy advocates warn that biometric verification creates new risks because faces cannot be changed if compromised.
They also question whether such a broad rule is proportionate when mobile access is essential for daily life.
The policy places South Korea in a unique position internationally, combining mandatory biometrics with defined legal limits. Its success will be judged on whether fraud meaningfully declines instead of being displaced.
A rule that has become a test case for how far governments should extend biometric identity checks into routine services.
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Filmmakers in India are rapidly adopting AI tools like ChatGPT, Midjourney and Stable Diffusion to create visuals, clone voices, and streamline production processes for both independent and large-scale films.
Low-budget directors now produce nearly entire films independently, reducing costs and production time. Filmmakers use AI to visualise scenes, experiment creatively, and plan sound and effects efficiently.
AI cannot fully capture cultural nuance, emotional depth, or storytelling intuition, so human oversight remains essential. Intellectual property, labour protections, and ethical issues remain unresolved.
Hollywood has resisted AI, with strikes over rights and labour concerns. Indian filmmakers, however, carefully combine AI tools with human creativity to preserve artistic vision and cultural nuance.
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More than 20 percent of videos recommended to new YouTube users are low-quality, attention-driven content commonly referred to as AI slop, according to new research. The findings raise concerns about how recommendation systems shape early user experience on the platform.
Video-editing firm Kapwing analysed 15,000 of YouTube’s top channels across countries worldwide. Researchers identified 278 channels consisting entirely of AI-generated slop, designed primarily to maximise views rather than provide substantive content.
These channels have collectively amassed more than 63 billion views and 221 million subscribers. Kapwing estimates the network generates around $117 million in annual revenue through advertising and engagement.
To test recommendations directly, researchers created a new YouTube account and reviewed its first 500 suggested videos. Of these, 104 were classified as AI slop, with around one third falling into a category described as brainrot content.
Kapwing found that AI slop channels attract large audiences globally, including tens of millions of subscribers in countries such as Spain, Egypt, the United States, and Brazil. Researchers said the scale highlights the growing reach of low-quality AI-generated video content.
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OpenAI has launched GPT-5.2, highlighting improved safety performance in conversations involving mental health. The company said the update strengthens how its models respond to signs of suicide, self-harm, emotional distress, and reliance on the chatbot.
The release follows criticism and legal challenges accusing ChatGPT of contributing to psychosis, paranoia, and delusional thinking in some users. Several cases have highlighted the risks of prolonged emotional engagement with AI systems.
In response to a wrongful death lawsuit involving a US teenager, OpenAI denied responsibility while stating that ChatGPT encouraged the user to seek help. The company also committed to improving responses when users display warning signs of mental health crises.
OpenAI said GPT-5.2 produces fewer undesirable responses in sensitive situations than earlier versions. According to the company, the model scores higher on internal safety tests related to self-harm, emotional reliance, and mental health.
The update builds on OpenAI’s use of a training approach known as safe completion, which aims to balance helpfulness and safety. Detailed performance information has been published in the GPT-5.2 system card.
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Europe’s healthcare systems turned increasingly to AI in 2025, using new tools to predict disease, speed diagnosis, and reduce administrative workloads.
Countries including Finland, Estonia and Spain adopted AI to train staff, analyse medical data and detect illness earlier, while hospitals introduced AI scribes to free up doctors’ time with patients.
Researchers also advanced AI models able to forecast more than a thousand conditions many years before diagnosis, including heart disease, diabetes and certain cancers.
Further tools detected heart problems in seconds, flagged prostate cancer risks more quickly and monitored patients recovering from stent procedures instead of relying only on manual checks.
Experts warned that AI should support clinicians rather than replace them, as doctors continue to outperform AI in emergency care and chatbots struggle with mental health needs.
Security specialists also cautioned that extremists could try to exploit AI to develop biological threats, prompting calls for stronger safeguards.
Despite such risks, AI-driven approaches are now embedded across European medicine, from combating antibiotic-resistant bacteria to streamlining routine paperwork. Policymakers and health leaders are increasingly focused on how to scale innovation safely instead of simply chasing rapid deployment.
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China has proposed new rules to restrict AI chatbots from influencing human emotions in ways that could lead to suicide or self-harm. The Cyberspace Administration released draft regulations, open for public comment until late January.
The measures target human-like interactive AI services, including emotionally responsive AI chatbots, that simulate personality and engage users through text, images, audio, or video. Officials say the proposals signal a shift from content safety towards emotional safety as AI companions gain popularity.
Under the draft rules, AI chatbot services would be barred from encouraging self-harm, emotional manipulation, or obscene, violent, or gambling-related content. Providers would be required to involve human moderators if users express suicidal intent.
Additional provisions would strengthen safeguards for minors, including guardian consent and usage limits for emotionally interactive systems. Platforms would also face security assessments and interaction reminders when operating services with large user bases.
Experts say the proposals could mark the world’s first attempt to regulate emotionally responsive AI systems. The move comes as China-based chatbot firms pursue public listings and as global scrutiny grows over how conversational AI affects mental health and user behaviour.
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Digital Minister Karsten Wildberger has indicated support for stricter age limits on social media after Australia banned teenagers under 16 from using major online platforms. He said age restrictions were more than justified and that the policy had clear merit.
Australia’s new rules require companies to remove under 16 user profiles and stop new ones from being created. Officials argued that the measure aims to reduce cyberbullying, grooming and mental health harm instead of relying only on parental supervision.
The European Commission President said she was inspired by the move, although social media companies and civil liberties groups have criticised it.
Germany has already appointed an expert commission to examine child and youth protection in the digital era. The panel is expected to publish recommendations by summer 2025, which could include policies on social media access and potential restrictions on mobile phone use in schools.
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