Amazon launches Health AI to assist with medical queries

Amazon has launched a new AI-powered assistant, Health AI, on its website and mobile app. The tool is designed to answer health questions, explain medical records, manage prescriptions, and connect users with healthcare providers.

Health AI can also book appointments and guide users based on their health information if they grant access to their records. The feature is currently limited to the US, with a wider rollout planned in the coming weeks.

The assistant is linked with One Medical, Amazon’s healthcare service, allowing users to communicate with licensed professionals through messages, video consultations, or in-person visits. It can also send prescription renewal requests and suggest relevant health products.

Users can create an Amazon Health Profile and enable two-step authentication to start using Health AI. By allowing the AI to access their medical records, including medications, lab results, and diagnoses, users can receive more personalised responses.

Amazon emphasises that Health AI is a support tool rather than a replacement for doctors. It helps users understand health information and prepare for discussions with healthcare providers, but it does not provide independent diagnoses or treatment.

As part of an introductory offer, eligible US Prime members can receive up to five free message consultations with One Medical providers. The system runs on Amazon Bedrock and uses multiple AI agents to manage tasks, monitor interactions, and escalate to human professionals when necessary.

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AI-driven education push reshapes Chungnam National University strategy

Chungnam National University aims to become a leading centre for AI-driven education in Korea as AI reshapes how universities teach, learn, and manage operations. University President Kim Jeong-kyoum said higher education institutions must rethink how they approach AI and prepare for the profound changes AI-driven education is expected to bring across society.

‘AI will undoubtedly bring significant changes across industries and in our daily lives,’ Kim told The Korea Times in a recent interview. ‘Universities need to approach this shift with an open mindset and be ready to accept it. I want Chungnam National University to become a university that uses AI better than anyone else.’

While acknowledging that the phrase ‘AI-leading university’ is increasingly common, Kim said the university’s real priority is integrating AI into teaching practically. The institution is considering incorporating AI-related elements into more than 30 percent of its curriculum to ensure students gain hands-on experience with the technology and support the expansion of AI-driven education across disciplines.

‘We want to teach students how to use AI effectively in practice,’ he said. ‘Professors need to use and understand AI themselves to teach it properly, and students also need systematic training on how to use these tools well.’

Beyond the classroom, the university also plans to introduce AI into administrative systems to improve campus operations. ‘Administration is often the hardest part of a university to change,’ Kim said. ‘That’s why we believe introducing AI into administrative systems first could be particularly meaningful.’

The university is also expanding research through its Glocal Lab project, which aims to strengthen Chungnam National University’s role in AI-driven pharmaceutical and biotechnology research. The initiative is expected to more directly connect academic research with industry and support the development of specialised talent, strengthening the university’s broader ambitions in AI-driven education and innovation.

Kim said, ‘Until now, there have been clear limits to translating the university’s strong basic research into applications in local industries. We expect the Glocal Lab project to help bridge that gap by connecting academic research more directly with the industrial field.’

The project will integrate AI, mathematical sciences, and pharmaceutical and biotechnology research into a unified R&D platform. ‘Ultimately, the Glocal Lab project will help the university grow into a global R&D hub,’ Kim said. ‘By creating high-quality jobs locally, it can also help curb the outflow of talented young people to the Seoul metropolitan area and foster a virtuous cycle of regional settlement and innovation.’

The university is also enhancing internationalisation efforts, aiming to increase the share of international students to 10 percent while expanding global partnerships and strengthening its global profile in AI-driven education. ‘Universities should take the lead in presenting new models in a global society,’ Kim said. ‘By doing so, these ideas can spread beyond campus and ultimately influence local industries and businesses.’

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AI deepfakes detection expands on YouTube for politicians and journalists

YouTube is expanding its likeness-detection technology designed to identify AI-generated deepfakes, extending access to a pilot group of government officials, political candidates, and journalists.

The tool allows participants to detect unauthorised AI-generated videos that simulate their faces and request removal if the content violates YouTube policies. The system builds on technology launched last year for around four million creators in the YouTube Partner Program.

Similar to YouTube’s Content ID system, which detects copyrighted material in uploaded videos, the likeness detection feature scans for AI-generated faces created with deepfake tools. Such technologies are increasingly used to spread misinformation or manipulate public perception by making prominent figures appear to say or do things they never did.

According to YouTube, the pilot programme aims to balance free expression with safeguards against AI impersonation, particularly in sensitive civic contexts.

‘This expansion is really about the integrity of the public conversation,’ said Leslie Miller, YouTube’s vice president of Government Affairs and Public Policy. ‘We know that the risks of AI impersonation are particularly high for those in the civic space. But while we are providing this new shield, we’re also being careful about how we use it.’

Removal requests will be assessed individually under YouTube’s privacy policy rules to determine whether the content constitutes parody or political critique, which remain protected forms of expression. Participants must verify their identity by uploading a selfie and a government-issued ID before accessing the tool. Once verified, they can review detected matches and submit removal requests for content they believe violates policy.

YouTube also said it supports the proposed NO FAKES Act in the United States, which aims to regulate the unauthorised use of an individual’s voice or visual likeness in AI-generated media. AI-generated videos on the platform are already labelled, though label placement varies depending on the topic’s sensitivity.

‘There’s a lot of content that’s produced with AI, but that distinction’s actually not material to the content itself,’ said Amjad Hanif, YouTube’s vice president of Creator Products. The company said it plans to expand the technology over time to detect AI-generated voices and other intellectual property.

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Sustainable AI discussed by UNESCO and Saudi leaders under Vision 2030

Leaders from government, academia, and industry gathered to emphasise that sustainable AI must shape efficient, inclusive, and environmentally responsible systems. The discussion focused on embedding sustainability, ethics, and human-centred principles throughout the AI lifecycle by adopting a sustainable-by-design approach.

The workshop was built on Saudi Arabia’s expanding role in AI and digital transformation through the Saudi Data & AI Authority (SDAIA) and the National Strategy for Data and AI (NSDAI). The efforts are supported by significant investments in cloud infrastructure and data centres under the Kingdom’s Vision 2030 programme. Participants highlighted that sustainable AI must become a core principle in the development of emerging digital infrastructure and AI-powered services.

Abdulrahman Habib, Director of the International Centre for Artificial Intelligence Research and Ethics (ICAIRE), highlighted Saudi Arabia’s growing leadership in AI ethics and governance. With national AI Ethics Principles and a maturing regulatory landscape, the Kingdom is positioning itself as a global contributor to responsible AI dialogue, translating principles into operational governance systems rather than just policy statements.

Leona Verdadero of UNESCO highlighted two core concepts: Greening with AI, which uses AI to accelerate sustainability, and Greening of AI, which ensures systems are energy-efficient, ethical, and human-centred. She stressed that effective AI governance requires collaboration and industry leadership at every stage of development.

Per Ola Kristensson from the University of Cambridge urged action beyond rhetoric, stressing that true AI sustainability means developing technology to augment, not replace, human potential. Industry presentations reinforced that sustainable AI drives real-world progress. Companies like RECYCLEE optimise resource recovery, Remedium reduces environmental impacts in healthcare and infrastructure, and IDOM strengthens sustainability reporting through AI-enhanced design.

UNESCO supports Saudi Arabia’s drive for inclusive, ethical, and sustainable AI ecosystems, framing sustainable AI as critical in the global transition to green digital transformation.

Faisal Al Azib, Executive Director of the UN Global Compact Network Saudi Arabia, stated: ‘As the Kingdom advances its digital transformation under Vision 2030, we have a responsibility to ensure that innovation advances hand in hand with sustainability and human dignity.’

Al Azib concluded: ‘Sustainable AI is central to building resilient, future-ready businesses. Through partnerships with UNESCO and our local ecosystem, we aim to equip companies with the governance tools to embed responsible, energy-efficient, and human-centred AI into their core strategies.’

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EU explores AI image generation safeguards

The Council of the European Union is examining a compromise proposal that could introduce restrictions on certain AI systems capable of generating sensitive synthetic images.

The discussions form part of ongoing adjustments to the EU AI Act.

A proposed measure that would primarily address AI tools that generate illegal material, particularly content involving the exploitation of minors.

Policymakers are considering ways to prevent the development or deployment of systems that could produce such material while maintaining proportionate rules for legitimate AI applications.

Early indications suggest the proposal may not apply to images depicting people in standard clothing contexts, such as swimwear. The distinction reflects policymakers’ effort to define the scope of restrictions without imposing unnecessary limits on common image-generation uses.

The debate highlights broader regulatory challenges linked to generative AI technologies. European institutions are seeking to strengthen protections against harmful uses of AI while preserving space for innovation and lawful digital services.

Further negotiations among the EU institutions are expected as lawmakers continue refining how these provisions could fit within the broader European framework governing AI.

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Moltbook founders join Meta’s AI research lab

Meta Platforms has acquired Moltbook, a social networking platform designed for AI agents. The deal brings co-founders Matt Schlicht and Ben Parr into Meta’s AI research division, the Superintelligence Labs, led by Alexandr Wang.

Financial terms of the acquisition were not disclosed, and the founders are expected to start on 16 March.

Moltbook, launched in January, allows AI-powered bots to exchange code and interact socially in a Reddit-like environment. The platform has sparked debate on AI autonomy and real-world capabilities, highlighting growing competition among tech giants for AI talent and technology.

Industry figures have offered differing views on the platform’s significance. OpenAI CEO Sam Altman called Moltbook a potential fad but acknowledged its underlying technology hints at the future of AI agents.

Meanwhile, Anthropic’s chief product officer, Mike Krieger, noted that most users are not ready to grant AI full autonomy over their systems.

The platform’s growth also highlighted security risks. Cybersecurity firm Wiz reported a vulnerability that exposed private messages, email addresses, and credentials, which was resolved after the owners were notified.

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Google adds option to disable AI search in Google Photos

Users of Google Photos will now have greater control over how they search their images, after Google introduced a visible toggle that returns to the traditional search experience.

The update follows complaints about the AI-powered Ask Photos feature.

Ask Photos was designed to allow users to search for images using natural language queries rather than simple keywords. The tool aimed to make photo searches more flexible, enabling complex queries such as descriptions of people, events or locations captured in images.

However, some users reported that the AI system produced slower results and occasionally failed to locate images that the classic search had previously found more reliably.

Although an option to turn off the AI feature already existed, it was hidden within settings and often overlooked.

The new update introduces a visible switch directly on the search interface. Users can now easily alternate between the AI-powered search and the traditional search system depending on their preferences.

Google said improvements have also been made to the quality of common searches following user feedback. The company emphasised that search remains one of the most frequently used functions within Google Photos and that ongoing updates will continue to refine the experience.

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Malicious npm package targets developers with Openclaw impersonation

Security researchers uncovered a malicious npm package impersonating an Openclaw AI installer, designed to infect developer machines with credential-stealing malware.

JFrog Security Research identified the attack in early March 2026 after the package appeared on the npm registry and was downloaded roughly 178 times.

The deceptive package mimics legitimate Openclaw tools and contains ordinary-looking JavaScript files and documentation. Hidden scripts run during installation, displaying a fake command-line interface and a fabricated system prompt that requests the user’s password.

Entering the password grants the malware elevated access and allows it to download an encrypted payload from a remote command server. Once installed, the payload deploys Ghostloader, a remote access trojan that persists on the system and communicates with attacker servers.

Researchers say the malware targets sensitive information, including saved passwords, browser cookies, SSH keys, and cryptocurrency wallet files. Developers are advised to remove the package immediately, rotate credentials, and install software only from verified sources.

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Dutch court increases pressure on Meta over non-profiling social media feeds

A court in the Netherlands has increased potential penalties against Meta after ruling that changes to social media timelines must be implemented urgently.

The decision raises the potential fine for non-compliance from €5 million to €10 million if required adjustments are not applied to Facebook and Instagram feeds.

Judges at the Amsterdam Court of Appeals said users must be able to select a timeline that does not rely on profiling-based recommendations.

The ruling follows a legal challenge from the digital rights organisation Bits of Freedom, which argued that users who switched away from algorithmic feeds were automatically returned to them after navigating the platform or reopening the application.

The court concluded that the automatic resetting mechanism represents a deceptive design practice known as a ‘dark pattern’.

Such practices are prohibited under the EU’s Digital Services Act, which requires large online platforms to provide greater transparency and user control over recommendation systems.

Judges acknowledged that Meta had already introduced several technical changes, although not all required measures were fully implemented. The company must ensure that the non-profiling timeline option remains active once selected, rather than reverting to algorithmic recommendations.

The dispute also highlights regulatory tensions within the European framework. Before turning to the courts, Bits of Freedom submitted a complaint to Coimisiún na Meán, the national authority responsible for overseeing Meta’s compliance with the EU rules.

According to the organisation, the lack of progress from regulators encouraged legal action in Dutch courts.

Meta indicated that the company intends to challenge the decision and pursue further legal proceedings. The case could become an important test of how the Digital Services Act is enforced against major online platforms across Europe.

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Digital sovereignty in Asia moves beyond US versus non-US cloud debate

AI, cloud computing, and cross-border data flows have made questions about control and jurisdiction increasingly important for governments and businesses. In Asia, the debate around digital sovereignty often focuses on ‘US versus non-US cloud’ providers or data localisation.

Such simplifications miss the practical challenges organisations face when choosing hosting locations or training AI models while navigating diverse regulatory regimes.

At the same time, Asia’s digital economy is building its own regulatory foundations. In Vietnam and Indonesia, new rules such as Vietnam’s Decree 53 and Indonesia’s data protection framework show how governments are shaping data governance while still relying on global cloud and AI platforms. Most organisations across the region continue to operate using a mix of local, regional, and international providers.

Organisations must address key questions about data jurisdiction and workload mobility when risks change. They must also control who can access sensitive systems during incidents. Digital sovereignty is clearer when seen through three pillars: data sovereignty, technical sovereignty, and operational sovereignty.

Data sovereignty is about jurisdiction, not just data storage. As AI regulation expands, businesses need to know which authorities can access their data and how it may be used. Technical sovereignty is the ability to move or redesign systems as regulations or geopolitics shift. Multi-cloud and hybrid strategies help organisations remain adaptable.

Operational sovereignty focuses on governance and control. It addresses who can access systems, from where, and under what safeguards, thus linking sovereignty directly to cybersecurity and incident response.

For Asia-Pacific organisations, digital sovereignty should not be a simple procurement checklist. Instead, it should guide cloud and AI strategies from the start, ensuring legal clarity, technical flexibility, and operational trust as the digital landscape evolves.

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