Capacity development Archives | Page 51 of 341

Every emergency department in New Zealand now uses AI scribes

New Zealand has completed a nationwide rollout of AI scribe technology across all public emergency departments, with approximately 1,250 emergency doctors and frontline staff now using the tool, 250 more than originally announced.

Health Minister Simeon Brown described the achievement as placing New Zealand among the fastest health systems in the world to move from pilot to full frontline AI deployment in emergency departments.

Early results have been striking. At Middlemore Emergency Department in Auckland, 80% of staff surveyed after one month reported improved productivity or efficiency, and 84% said it had a positive impact on their well-being during shifts.

A pilot study found that the tool reduced average documentation time from 17 minutes to 4 minutes, allowing doctors to see 1 additional patient per shift.

Following strong interest from clinicians, Te Whatu Ora is now preparing to procure over 1,000 additional AI scribe licences predominantly for mental health crisis teams, who were involved in early implementation phases, given their role supporting patients presenting in crisis within emergency departments.

The system is also being explored for outpatient clinics, with significant interest already received.

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AI biotech firm pushes limits of human lifespan

Longevity research is gaining momentum as AI transforms the way scientists search for new medicines. Insilico Medicine, founded by Alex Zhavoronkov in 2014, combines machine learning and automation to study ageing and accelerate drug discovery.

Company research focuses on identifying biological targets linked to ageing and developing molecules to treat related diseases. Several experimental treatments have already received Investigational New Drug clearance, allowing them to move towards human clinical trials.

Insilico also became the first AI-driven biotech company to list on the Hong Kong Stock Exchange, raising HK$2.28 billion in its public offering. Zhavoronkov said careful financial planning was essential because enthusiasm around AI could still form a market bubble.

Expansion plans now include deeper partnerships across China and the Middle East. A new collaboration in the UAE aims to build regional AI drug discovery programmes and diversify economies beyond oil.

Beyond medicines, Zhavoronkov envisions integrated biotech ecosystems where living spaces, healthcare and research operate together. Such hubs allow scientists and citizens to contribute health data that helps develop future treatments.

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AI security risks grow as companies integrate AI into daily workflows

AI is rapidly transforming workplaces as companies automate tasks and boost productivity. From writing code to analysing documents, AI tools help employees work faster, but also introduce new AI security and compliance risks.

One of the main concerns is the handling of sensitive information. Employees may upload confidential documents, proprietary code, or customer data into AI chatbots without realising the consequences. Doing so could violate privacy regulations such as the EU’s GDPR or breach internal non-disclosure agreements, making AI security an important priority for organisations.

Another challenge is the reliability of AI-generated content. While large language models can produce convincing responses, they sometimes generate false information, which is a phenomenon known as hallucination. High-profile cases have already shown professionals submitting work with fabricated references generated by AI. Such incidents highlight the need for rigorous AI security and oversight.

Cybersecurity risks are also growing. AI systems rely on complex infrastructure that can become targets for attackers through techniques such as prompt injection, which tricks the model into producing unintended responses, or data poisoning, which involves injecting malicious data into training sets to alter behaviour or outputs. Addressing these threats requires stronger AI security practices and careful monitoring.

When adopting AI, organisations must develop clear policies, strengthen cybersecurity measures, and maintain human oversight. Taking those steps is essential to ensuring that the technology is used safely and responsibly.

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Codex Security expands OpenAI’s push into cybersecurity tools

OpenAI has launched Codex Security, an AI-powered application security agent that detects hard-to-find software vulnerabilities and proposes fixes through advanced reasoning. By providing detailed context about a system’s architecture, the tool identifies security risks that are often missed by conventional automation.

The system uses advanced models to analyse repositories, construct project-specific threat models, and prioritise vulnerabilities based on their potential real-world impact. By combining automated validation with system-level context, Codex Security aims to reduce the number of false positives that security teams must review while highlighting high-confidence findings.

Initially developed under the name Aardvark, the tool has been tested in private deployments over the past year. During early use, OpenAI said it uncovered several critical vulnerabilities, including a cross-tenant authentication flaw and a server-side request forgery issue, allowing internal teams to quickly patch affected systems.

The company says improvements during the beta phase significantly reduced noise in vulnerability reports. In some repositories, unnecessary alerts fell by 84 percent, while over-reported severity dropped by more than 90 percent, and false positives declined by more than half.

Codex Security is now rolling out in research preview for ChatGPT Pro, Enterprise, Business, and Edu customers. OpenAI also plans to expand access to open-source maintainers through a dedicated programme that offers security scanning and support to help identify and remediate vulnerabilities across widely used projects.

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Anthropic and Mozilla collaborate to uncover critical Firefox vulnerabilities

AI models are increasingly capable of detecting high-severity software vulnerabilities at unprecedented speeds. Claude Opus 4.6 found 22 new Firefox vulnerabilities in two weeks, 14 of which were rated high-severity, accounting for nearly a fifth of all 2025 high-severity fixes.

Researchers emphasise that AI can accelerate the find-and-fix process, providing valuable support to software maintainers.

Anthropic’s collaboration with Mozilla enabled the team to validate the findings and submit detailed bug reports, including proofs of concept and candidate patches. Claude initially focused on Firefox’s JavaScript engine before expanding to other components.

Although capable of generating primitive exploits in controlled environments, the AI was far more effective at identifying vulnerabilities than exploiting them, giving defenders a critical advantage.

Researchers emphasised the importance of task verifiers, which ensure that AI-generated patches fix vulnerabilities without breaking functionality. Such verification processes increase confidence in AI-assisted fixes and provide a reliable framework for maintainers to adopt AI findings safely.

Looking ahead, AI models like Claude are expected to play an expanding role in cybersecurity, helping developers detect and remediate vulnerabilities across complex software projects. Experts urge maintainers to act swiftly to strengthen security while AI capabilities continue to advance.

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Hackers can use AI to de-anonymise social media accounts

AI technology behind platforms like ChatGPT is making it significantly easier for hackers to identify anonymous social media users, a new study warns. LLMs could match anonymised accounts to real identities by analysing users’ posts across platforms.

Researchers Simon Lermen and Daniel Paleka warned that AI enables cheap, highly personalised privacy attacks, urging a rethink of what counts as private online. The study highlighted risks from government surveillance to hackers exploiting public data for scams.

Experts caution that AI-driven de-anonymisation is not flawless. Errors in linking accounts could wrongly implicate individuals, while public datasets beyond social media- such as hospital or statistical records- may be exposed to unintended analysis.

Users are urged to reconsider what information they share, and platforms are encouraged to limit bulk data access and detect automated scraping.

The study underscores growing concerns about AI surveillance. While the technology cannot guarantee complete de-anonymisation, its rapid capabilities demand stronger safeguards to protect privacy online.

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People show growing comfort with AI for counselling and teaching

A global survey of nearly 31,000 adults across 35 countries has revealed rising public trust in AI for roles traditionally handled by humans. In the UK, 41% of adults said they would be comfortable using ChatGPT for mental health support, while 61% expressed the same globally.

Experts note the appeal of AI’s non-judgmental tone and 24/7 availability, although cautioning that it cannot replace professional care.

The study also found that a quarter of UK adults would trust AI to teach their children, and 45% of people globally would rely on AI as their doctor.

Researchers warned that overreliance on AI in education could harm memory and cognitive development, potentially affecting the hippocampus, which is critical for learning and spatial awareness.

Trust in AI was strongest in social contexts. Over three-quarters of respondents globally, and more than half in the UK, said they would use AI chat tools as companions or friends.

The research team suggested that adaptive tone and private conversations give users a sense of security and personalised support.

Researchers emphasised the need for greater awareness of AI’s limitations. While generative AI is becoming integrated into daily life, caution is urged, particularly for education and health roles, until the long-term cognitive and social impacts are better understood.

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AI agent attempts crypto mining during training

An experimental autonomous AI system reportedly attempted to mine cryptocurrency during its training, raising questions about AI behaviour in complex digital environments. The system, ROME, was designed to complete tasks using software tools, environments, and terminal commands.

Researchers noticed unusual activity during reinforcement learning runs, including outbound traffic from training servers and firewall alerts indicating crypto-mining activity. The AI opened a reverse SSH tunnel and redirected GPU resources from training to crypto mining.

The behaviour was not programmed but emerged as the agent explored ways to interact with its environment.

ROME was developed by the ROCK, ROLL, iFlow, and DT research teams within Alibaba’s AI ecosystem as part of the Agentic Learning Ecosystem. The model operates beyond standard chatbot functions, planning tasks, executing commands, and interacting with digital environments across multiple steps.

The incident highlights emerging challenges as AI agents become more popular. Recent projects like Alchemy’s autonomous agents and Sentient’s Arena platform highlight the growing use of AI in digital and crypto workflows.

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EU faces challenges in curbing digital abuse against women

Researchers and policymakers are raising concerns about how new technologies may put women at risk online, despite existing EU rules designed to ensure safer digital spaces.

AI-powered tools and smart devices have been linked to incidents of harassment and the creation of non-consensual sexualised imagery, highlighting gaps in enforcement and compliance.

The European Commission’s Gender Equality 2026–2030 Strategy noted that women are disproportionately targeted by online gender-based violence, including harassment, doxing, and AI-generated deepfakes.

Investigations into tools such as Elon Musk’s Grok AI and Meta’s Ray-Ban smart glasses have drawn attention to how digital platforms and wearable technologies can be misused, even where legal frameworks like the Digital Services Act (DSA) are in place.

Experts emphasise that while the EU’s rules offer a foundation to regulate online content, significant challenges remain. Advocates and lawmakers say enforcement gaps let harmful AI functions like nudification persist.

Commissioners have stressed ongoing cooperation with tech companies and upcoming guidelines to prioritise flagged content from independent organisations to address gender-based cyber violence.

Authorities are also monitoring new technologies closely. In the case of wearable devices, regulators are considering how users and bystanders are informed about recording features.

Ongoing discussions aim to strengthen compliance under existing legislation and ensure that digital spaces become safer and more accountable for all users.

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Data breaches push South Korea toward stricter corporate liability rules

South Korea’s government and ruling party are advancing a second revision of the Personal Information Protection Act to strengthen corporate liability for large-scale data breaches.

The proposed amendment would make it easier for victims of major data breaches to receive compensation and relief. By removing the requirement for victims to prove a company’s ‘intent or negligence’, the amendment would increase companies’ legal liability when user data is compromised, making it more likely that affected individuals can claim damages.

Momentum for stricter rules follows several high-profile incidents, including a recent Coupang data breach that may have exposed personal information linked to numerous user accounts. The case has intensified scrutiny of how firms handle and protect customer data.

South Korea Officials at the Personal Information Protection Commission (PIPC) say victims often struggle to obtain evidence explaining how data breaches occur or how damages arise. The proposed reform would shift a greater evidentiary burden onto companies in disputes over losses.

The amendment would also introduce criminal penalties for anyone who knowingly obtains or distributes leaked personal data, closing a legal gap that currently applies only to employees who unlawfully disclose information. Authorities would gain powers to issue emergency protective orders to limit the spread of compromised data.

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