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UN Summit Confronts AI's Dawn Of Wonders And Warnings

UN Summit Confronts AI's Dawn Of Wonders And Warnings

Scoop3 days ago
The AI for Good Global Summit 2025 brings together governments, tech leaders, academics, civil society and young people to explore how artificial intelligence can be directed toward Sustainable Development Goals (SDGs) – and away from growing risks of inequality, disinformation and environmental strain.
' We are the AI generation,' said Doreen Bogdan-Martin, chief of the International Telecommunications Union (ITU) – UN's specialized agency for information and communications technology – in a keynote address.
But being part of this generation means more than just using these technologies.
' It means contributing to this whole-of-society upskilling effort, from early schooling to lifelong learning,' she added.
Warnings on AI risks
Ms. Bogdan-Martin warned of mounting dangers in deploying AI without sufficient public understanding or policy oversight.
' The biggest risk we face is not AI eliminating the human race. It is the race to embed AI everywhere, without sufficient understanding of what that means for people and our planet,' she said.
Her remarks reflected a growing sense of urgency among policymakers and technologists, as new 'agentic AI' systems capable of autonomous reasoning and action emerge at unprecedented speed.
With some experts predicting human-level AI within the next three years, concerns about safety, bias, energy consumption and regulatory capacity have intensified.
Tech on display
The summit's agenda reflects these tensions.
Over 20,000 square meters of exhibit space at Geneva's Palexpo now hosts more than 200 demonstrations, including a flying car, a fish-inspired water quality monitor, brain-computer interfaces and AI-driven disaster response tools.
Workshops throughout the week will tackle topics ranging from AI in healthcare and education to ethics, gender inclusion and global governance.
One highlight will be the AI Governance Day on Thursday, where national regulators and international organizations will address the gap in global oversight. An ITU survey found that 85 per cent of countries lack an AI-specific policy or strategy, raising alarms about uneven development and growing digital divides.
Focus on health
Health is a prominent theme this year.
On Wednesday, the UN World Health Organization (WHO) will lead a session titled 'Enabling AI for Health Innovation and Access,' bringing together technologists, regulators, clinicians and humanitarian leaders to address how AI can improve healthcare delivery – especially in low-resource settings.
Real-world applications – from AI-powered triage in emergency care to diagnostic tools for rural clinics – will be spotlighted, alongside a preview of WHO's forthcoming Technical Brief on AI in Traditional Medicine, set for official launch on the main stage.
Experts will also examine the challenges of interoperability, regulatory harmonisation and intellectual property rights at the intersection of AI and global health. The summit will also feature the AI for Good Awards, recognising groundbreaking projects that harness AI for public benefit, with categories spanning people, planet and prosperity.
Launchpad for action
The health track exemplifies the summit's core goal: ensuring AI serves the public good, especially in areas of greatest need.
Youth-led robotics teams from underserved communities will present solutions for disaster recovery and waste management, while startups compete in the Innovation Factory to showcase AI tools for education and climate resilience.
Live demonstrations include an autonomous orchard robot, a self-sanitising mobile toilet, and a drone-eDNA system for scalable biodiversity and pest monitoring.
Closing her keynote, Ms. Bogdan-Martin reminded participants that the future of AI is a shared responsibility.
' Let's never stop putting AI at the service of all people and our planet,' she said.
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UN Summit Confronts AI's Dawn Of Wonders And Warnings
UN Summit Confronts AI's Dawn Of Wonders And Warnings

Scoop

time3 days ago

  • Scoop

UN Summit Confronts AI's Dawn Of Wonders And Warnings

The AI for Good Global Summit 2025 brings together governments, tech leaders, academics, civil society and young people to explore how artificial intelligence can be directed toward Sustainable Development Goals (SDGs) – and away from growing risks of inequality, disinformation and environmental strain. ' We are the AI generation,' said Doreen Bogdan-Martin, chief of the International Telecommunications Union (ITU) – UN's specialized agency for information and communications technology – in a keynote address. But being part of this generation means more than just using these technologies. ' It means contributing to this whole-of-society upskilling effort, from early schooling to lifelong learning,' she added. Warnings on AI risks Ms. Bogdan-Martin warned of mounting dangers in deploying AI without sufficient public understanding or policy oversight. ' The biggest risk we face is not AI eliminating the human race. It is the race to embed AI everywhere, without sufficient understanding of what that means for people and our planet,' she said. Her remarks reflected a growing sense of urgency among policymakers and technologists, as new 'agentic AI' systems capable of autonomous reasoning and action emerge at unprecedented speed. With some experts predicting human-level AI within the next three years, concerns about safety, bias, energy consumption and regulatory capacity have intensified. Tech on display The summit's agenda reflects these tensions. Over 20,000 square meters of exhibit space at Geneva's Palexpo now hosts more than 200 demonstrations, including a flying car, a fish-inspired water quality monitor, brain-computer interfaces and AI-driven disaster response tools. Workshops throughout the week will tackle topics ranging from AI in healthcare and education to ethics, gender inclusion and global governance. One highlight will be the AI Governance Day on Thursday, where national regulators and international organizations will address the gap in global oversight. An ITU survey found that 85 per cent of countries lack an AI-specific policy or strategy, raising alarms about uneven development and growing digital divides. Focus on health Health is a prominent theme this year. On Wednesday, the UN World Health Organization (WHO) will lead a session titled 'Enabling AI for Health Innovation and Access,' bringing together technologists, regulators, clinicians and humanitarian leaders to address how AI can improve healthcare delivery – especially in low-resource settings. Real-world applications – from AI-powered triage in emergency care to diagnostic tools for rural clinics – will be spotlighted, alongside a preview of WHO's forthcoming Technical Brief on AI in Traditional Medicine, set for official launch on the main stage. Experts will also examine the challenges of interoperability, regulatory harmonisation and intellectual property rights at the intersection of AI and global health. The summit will also feature the AI for Good Awards, recognising groundbreaking projects that harness AI for public benefit, with categories spanning people, planet and prosperity. Launchpad for action The health track exemplifies the summit's core goal: ensuring AI serves the public good, especially in areas of greatest need. Youth-led robotics teams from underserved communities will present solutions for disaster recovery and waste management, while startups compete in the Innovation Factory to showcase AI tools for education and climate resilience. Live demonstrations include an autonomous orchard robot, a self-sanitising mobile toilet, and a drone-eDNA system for scalable biodiversity and pest monitoring. Closing her keynote, Ms. Bogdan-Martin reminded participants that the future of AI is a shared responsibility. ' Let's never stop putting AI at the service of all people and our planet,' she said.

How AI-based simulation testing is revolutionising healthcare
How AI-based simulation testing is revolutionising healthcare

Techday NZ

time03-07-2025

  • Techday NZ

How AI-based simulation testing is revolutionising healthcare

Healthcare systems in Australia are responding to complex and continually changing factors. With 28% of Australians living in rural and remote areas, together with a sizeable ageing population, many communities face a serious shortage of doctors and nurses. At the same time, disparities in health outcomes between Aboriginal and Torres Strait Islander (First Nations) people and non-Indigenous Australians are driving a 'health gap'. Many factors determine access to quality, affordable healthcare — not only in Australia, but around the world. According to the latest World Health Organisation (WHO) data, ''at least 50% of the world's population still lacks full coverage of essential health services''. Across Australia, the science, healthcare, and assessment industries are collectively looking at ways to tackle these issues and drive better healthcare outcomes for all. Last year, our national science agency — the Commonwealth Scientific and Industrial Research Organisation (CSIRO), launched research highlighting a new 'extraordinary era' of AI in healthcare. As CSIRO's research director, Dr David Hansen, emphasised: ''The use of AI in healthcare is unique because the accuracy of models could mean the difference between life or death, or ongoing health or illness.'' According to Pearson's 2024 Skills Outlook, ''AI is set to transform clinician capabilities, improve diagnostics, and help deliver personalised treatments.'' To fully realise this potential, effective assessment and qualification will be essential for ensuring competency and fostering trust between practitioners and patients. So how can AI be used to measure and verify a wide range of skills required for safe and effective patient care? Simulation-based assessments are commonly used to train healthcare professionals in their handling of real-world scenarios. Over the last decade, this method of assessment has evolved to evaluate technical skills across a wide variety of clinically related situations. Rather than a standalone tool, simulations are used alongside other tests of competence to ensure a healthcare professional is equipped to practise, and now — like many assessment tools — it's being reimagined by AI. It will be exciting to see how simulation-based assessment — enhanced by AI — will allow healthcare professionals to demonstrate practical, real-world skills in much more dynamic and adaptive environments than ever before. While traditional real-world simulations have their benefits, they're expensive and can be limited in their use. Setting up a physical environment takes time and money — often actors need to be recruited and trained to play patient roles. And even then, there are some scenarios that realistically cannot be recreated — like rare emergencies or situations involving cultural nuances. AI can bridge that gap by generating more personalised, complex, or repeatable scenarios more quickly. Advancements with this technology will only broaden the use of simulation-based training and assessment in healthcare. Not long ago, NVIDIA released the world's first humanoid robot foundation model — along with advanced simulation frameworks. What's fascinating is that these robots can learn far more from simulated environments than from real-world experiences. And the same principle applies to human learning, too. When it comes to preparing healthcare professionals for high-stakes, fast-paced environments, AI-enhanced simulation might just be the most powerful training and assessment tool we have. Think for a moment about all the types of people you encounter in a hospital — professionals with varying degrees of experience — perhaps with different perspectives and from different cultures. With AI simulations, highly skilled, advanced medical professionals — as well as less experienced medical students, can rehearse different types of scenarios multiple times to mitigate risk or stress test new techniques or treatments. Scenarios where AI-enhanced simulation-based assessments could drive more positive healthcare outcomes: Advancing emergency medicine: AI can adjust patient responses in real-time — such as escalating during a crisis and de-escalating based on treatment — or shifting symptoms based on candidate hesitation — mimicking the unpredictability of real clinical care. For example, could AI-enhanced simulation-based assessments better train a medical professional in resuscitation skills? — where seconds could be the difference between life and death? With the way technology is progressing, there's significant potential in helping specialists in A&E departments respond even quicker in a crisis. Improving GP consultations: While many doctors in Australia bulk bill their patients to ensure services are accessible to everyone, some argue that some doctors choose not to bulk bill at all, or minimise the time spent with each patient to maximise the Medicare rebate. In the run up to the Australian federal election, this became a hot topic, with the government pledging $8.5 billion investment to expand bulk billing initiatives. AI-simulated consultations have the potential to better prepare healthcare professionals for the critical role of general practice — often the gateway to early detection of health issues and follow-up care. Beyond evaluating clinical reasoning and decision-making, these simulations could also assess how effectively medical professionals use AI tools for consultations. This approach not only supports the development of more effective and efficient practitioners but also enhances patient outcomes by integrating technology into real-word scenarios without sacrificing standards of care. Developing soft skills like communication: Vital health worker roles now require a blend of compassionate patient interaction as well as the increasing use of advanced technologies. Quality patient interactions are based on technology and human-centric skills — and finding the perfect balance. For example, amidst a shortage of nurses, there's increasing demand for nursing assistants and registered nurses adept in soft as well as technical skills. AI-driven avatars can simulate different types of patients — individuals from a range of demographics or from underrepresented groups — evaluating how nursing candidates navigate difficult conversations, show empathy, and resolve problems. These AI-based simulators can also offer personalised feedback — adjusting the level of difficulty of simulated scenarios based on the learner's proficiency. And large language models can create realistic dialogue, such as a patient panicking in a crisis. The use of AI makes these examples of simulations more responsive to an individual's actions, offering a much richer assessment of their competency to handle complex challenges. By providing the professional with a more immersive experience in which to demonstrate their knowledge, skills, and abilities, AI-enhanced simulations are set to play a vital role in training and evaluating professionals in new job functions (as seen with the nursing example) as well as more complex medical procedures (such as those carried out by a surgeon). While these simulations already exist in prototype form, the challenge within many healthcare settings will be how conveniently they can be developed, adjusted, and scaled — and at what cost? To be effective, AI-driven simulation-based assessments need to be targeted where they can have the most far-reaching impact. With rapid advances in technology, creating, and customising these simulations is likely to become much easier and more affordable in the near future. Simulation-based assessment, enhanced by AI, offers a powerful tool for training and evaluation — but like any other AI-assisted system, its output is only as good as the data it's built on. If that data contains any biases or misconceptions, then the AI will inevitably reflect and reinforce those same limitations. This is where the human touch (known as the "human-in-the-loop" model) will prove vital — particularly in clinical scenarios involving diverse patient populations. With health inequalities across different regions and different demographics, clinical simulation developers will need to be inclusive of all types of patients. And professional roles within this sector will still require a combination of technical expertise and essential human skills because they come with the highest stakes of all: people's lives. To enter 'an extraordinary era of AI', ensuring that any AI tools — including those used in simulation-based assessments — are fit-for-purpose, responsive to patient needs, and capable of tackling the most pressing health challenges will be fundamental.

Prime Minister Christopher Luxon speaks from Chiptech, Christchurch
Prime Minister Christopher Luxon speaks from Chiptech, Christchurch

RNZ News

time03-07-2025

  • RNZ News

Prime Minister Christopher Luxon speaks from Chiptech, Christchurch

Prime Minister Christopher Luxon today visited the Christchurch factory of Chiptech, a New Zealand company specialising in personal medical alarms. During Luxon's April visit to the United Kingdom , the company announced a new project to improve healthcare innovation in the UK and Europe at high-profile reception with the PM in London. Chiptech entered the UK market in 2019 and its UK office is based in Lancaster. Sign up for Ngā Pitopito Kōrero , a daily newsletter curated by our editors and delivered straight to your inbox every weekday.

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