Face-to-face interviews and oral verification could become a routine part of third-level assessments under new recommendations aimed at addressing the improper use of AI. Institutions are being encouraged to redesign assessment methods to ensure student work is authentic.
The proposals are set out in new guidelines published by the Higher Education Authority (HEA) of Ireland, which regulates universities and other third-level institutions. The report argues that assessment systems must evolve to reflect the growing use of generative AI in education.
While encouraging institutions to embrace AI’s potential, the report stresses the need to ensure students are demonstrating genuine learning. Academics have raised concerns that AI-generated assignments are increasingly difficult to distinguish from original student work.
To address this, the report recommends redesigning assessments to prioritise student authorship and human judgement. Suggested measures include oral verification, process-based learning, and, where appropriate, a renewed reliance on written exams conducted without technology.
The authors also caution against relying on AI detection tools, arguing that integrity processes should be based on dialogue and evidence. They call for clearer policies, staff and student training, and safeguards around data use and equitable access to AI tools.
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A new international study has shown that an AI model using deep transfer learning can predict spoken language outcomes for children following cochlear implants with 92% accuracy.
Researchers analysed pre-implantation brain MRI scans from 278 children across Hong Kong, Australia, and the US, covering English, Spanish, and Cantonese speakers.
Cochlear implants are the only effective treatment for severe hearing loss, though speech development after early implantation can vary widely. The AI model identifies children needing intensive therapy, enabling clinicians to tailor interventions before implantation.
The study demonstrated that deep learning outperformed traditional machine learning models, handling complex, heterogeneous datasets across multiple centres with different scanning protocols and outcome measures.
Researchers described the approach as a robust prognostic tool for cochlear implant programmes worldwide.
Experts highlighted that the AI-powered ‘predict-to-prescribe’ method could transform paediatric audiology by optimising therapy plans and improving spoken language development for children receiving cochlear implants.
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The booming influencer economy of Belgium is colliding with an advertising rulebook that many creators say belongs to another era.
Different obligations across federal, regional and local authorities mean that wording acceptable in one region may trigger a reprimand in another. Some influencers have even faced large fines for administrative breaches such as failing to publish business details on their profiles.
In response, the Influencer Marketing Alliance in Belgium has launched a certification scheme designed to help creators navigate the legal maze instead of risking unintentional violations.
Influencers complete an online course on advertising and consumer law and must pass a final exam before being listed in a public registry monitored by the Jury for Ethical Practices.
Major brands, including L’Oréal and Coca-Cola, already prefer to collaborate with certified creators to ensure compliance and credibility.
Not everyone is convinced.
Some Belgian influencers argue that certification adds more bureaucracy at a time when they already struggle to understand overlapping rules. Others see value as a structured reminder that content creators remain legally responsible for commercial communication shared with followers.
The alliance is also pushing lawmakers to involve influencers more closely when drafting future rules, including taxation and safeguards for child creators.
Consumer groups such as BEUC support clearer definitions and obligations under the forthcoming EU Digital Fairness Act, arguing that influencer advertising should follow the same standards as other media instead of remaining in a grey zone.
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China has proposed stringent new rules for AI aimed at protecting children and preventing chatbots from providing advice that could lead to self-harm, violence, or gambling.
The draft regulations, published by the Cyberspace Administration of China (CAC), require developers to include personalised settings, time limits, and parental consent for services offering emotional companionship.
High-risk chats involving self-harm or suicide must be passed to a human operator, with guardians or emergency contacts alerted. AI providers must not produce content that threatens national security, harms national honour, or undermines national unity.
The rules come as AI usage surges, with platforms such as DeepSeek, Z.ai, and Minimax attracting millions of users in China and abroad. The CAC supports safe AI use, including tools for local culture and elderly companionship.
The move reflects growing global concerns over AI’s impact on human behaviour. Notably, OpenAI has faced legal challenges over alleged chatbot-related harm, prompting the company to create roles focused on tracking AI risks to mental health and cybersecurity.
China’s draft rules signal a firm approach to regulating AI technology as its influence expands rapidly.
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Many visually impaired gamers find mainstream video games difficult due to limited accessibility features. Support groups enable players to share tips, recommend titles, and connect with others who face similar challenges.
Audio and text‑based mobile games are popular, yet console and PC titles often lack voiceovers or screen reader support. Adjustable visual presets could make mainstream games more accessible for partially sighted players.
UK industry bodies acknowledge progress, but barriers remain for millions of visually impaired players. Communities offer social support and provide feedback to developers to improve games and make them inclusive.
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China is proposing new rules requiring users to consent before AI companies can use chat logs for training. The draft measures aim to balance innovation with safety and public interest.
Platforms would need to inform users when interacting with AI and provide options to access or delete their chat history. For minors, guardian consent is required before sharing or storing any data.
Analysts say the rules may slow AI chatbot improvements but provide guidance on responsible development. The measures signal that some user conversations are too sensitive for free training data.
The draft rules are open for public consultation with feedback due in late January. China encourages expanding human-like AI applications once safety and reliability are demonstrated.
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The presidency of the Council of the European Union next year is expected to see Ireland lead a European drive for ID-verified social media accounts.
Tánaiste Simon Harris said the move is intended to limit anonymous abuse, bot activity and coordinated disinformation campaigns that he views as a growing threat to democracy worldwide.
A proposal that would require users to verify their identity instead of hiding behind anonymous profiles. Harris also backed an Australian-style age verification regime to prevent children from accessing social media, arguing that existing digital consent rules are not being enforced.
Media Minister Patrick O’Donovan is expected to bring forward detailed proposals during the presidency.
The plan is likely to trigger strong resistance from major social media platforms with European headquarters in Ireland, alongside criticism from the US.
However, Harris believes there is growing political backing across Europe, pointing to signals of support from French President Emmanuel Macron and UK Prime Minister Keir Starmer.
Harris said he wanted constructive engagement with technology firms rather than confrontation, while insisting that stronger safeguards are now essential.
He argued that social media companies already possess the technology to verify users and restrict harmful accounts, and that European-level coordination will be required to deliver meaningful change.
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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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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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