Online health search grows, but scepticism about AI stays high

Trust in traditional healthcare providers remains high, but Americans are increasingly turning to AI for health information, according to new data from the Annenberg Public Policy Centre (APPC).

While 90% of adults trust their personal health provider, nearly 8 in 10 say they are likely to look online for answers to health-related questions. The rise of the internet gave the public access to government health authorities such as the CDC, FDA, and NIH.

Although trust in these institutions dipped during the Covid-19 pandemic, confidence remains relatively high at 66%–68%. Generative AI tools are now becoming a third key source of health information.

AI-generated summaries — such as Google’s ‘AI Overviews‘ or Bing’s ‘Copilot Answers’ — appear prominently in search results.

Despite disclaimers that responses may contain mistakes, nearly two-thirds (63%) of online health searchers find these responses somewhat or very reliable. Around 31% report often or always finding the answers they need in the summaries.

Public attitudes towards AI in clinical settings remain more cautious. Nearly half (49%) of US adults say they are not comfortable with providers using AI tools instead of their own experience. About 36% express some level of comfort, while 41% believe providers are already using AI at least occasionally.

AI use is growing, but most online health seekers continue exploring beyond the initial summary. Two-thirds follow links to websites such as Mayo Clinic, WebMD, or non-profit organisations like the American Heart Association. Federal resources such as the CDC and NIH are also consulted.

Younger users are more likely to recognise and interact with AI summaries. Among those aged 18 to 49, between 69% and 75% have seen AI-generated content in search results, compared to just 49% of users over 65.

Despite high smartphone ownership (93%), only 59% of users track their health with apps. Among these, 52% are likely to share data with a provider, although 36% say they would not. Most respondents (80%) welcome prescription alerts from pharmacies.

The survey, fielded in April 2025 among 1,653 US adults, highlights growing reliance on AI for health information but also reveals concerns about its use in professional medical decision-making. APPC experts urge greater transparency and caution, especially for vulnerable users who may not understand the limitations of AI-generated content.

Director Kathleen Hall Jamieson warns that confusing AI-generated summaries with professional guidance could cause harm. Analyst Laura A. Gibson adds that outdated information may persist in AI platforms, reinforcing the need for user scepticism.

As the public turns to digital health tools, researchers recommend clearer policies, increased transparency, and greater diversity in AI development to ensure safe and inclusive outcomes.

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How AI-generated video is reshaping the film industry

AI-generated video has evolved at breakneck speed, moving from distorted and unconvincing clips to hyper-realistic creations that rival traditional filmmaking. What was once a blurry, awkward depiction of Will Smith eating spaghetti in 2023 is now flawlessly rendered on platforms like Google’s Veo 3.

In just months, tools such as Luma Labs’ Dream Machine, OpenAI’s Sora, and Runway AI’s Gen-4 have redefined what’s possible, drawing the attention of Hollywood studios, advertisers, and artists eager to test the limits of this new creative frontier.

Major industry players are already experimenting with AI for previsualisation, visual effects, and even entire animated films. Lionsgate and AMC Networks have partnered with Runway AI, with executives exploring AI-generated family-friendly versions of blockbuster franchises like John Wick and The Hunger Games.

The technology drastically cuts costs for complex scenes, making it possible to create elaborate previews—like a snowstorm filled with thousands of soldiers—for a fraction of the traditional price. However, while some see AI as a tool to expand creative possibilities, resistance remains strong.

Critics argue that AI threatens traditional artistic processes, raises ethical concerns over energy use and data training, and risks undermining human creativity. The debate mirrors past technological shifts in entertainment—inevitable yet disruptive.

As Runway and other pioneers push toward immersive experiences in augmented and virtual reality, the future of filmmaking may no longer be defined solely by Hollywood, but by anyone with access to these powerful tools.

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Military AI and the void of accountability

In her blog post ‘Military AI: Operational dangers and the regulatory void,’ Julia Williams warns that AI is reshaping the battlefield, shifting from human-controlled systems to highly autonomous technologies that make life-and-death decisions. From the United States’ Project Maven to Israel’s AI-powered targeting in Gaza and Ukraine’s semi-autonomous drones, military AI is no longer a futuristic concept but a present reality.

While designed to improve precision and reduce risks, these systems carry hidden dangers—opaque ‘black box’ decisions, biases rooted in flawed data, and unpredictable behaviour in high-pressure situations. Operators either distrust AI or over-rely on it, sometimes without understanding how conclusions are reached, creating a new layer of risk in modern warfare.

Bias remains a critical challenge. AI can inherit societal prejudices from the data it is trained on, misinterpret patterns through algorithmic flaws, or encourage automation bias, where humans trust AI outputs even when they shouldn’t.

These flaws can have devastating consequences in military contexts, leading to wrongful targeting or escalation. Despite attempts to ensure ‘meaningful human control’ over autonomous weapons, the concept lacks clarity, allowing states and manufacturers to apply oversight unevenly. Responsibility for mistakes remains murky—should it lie with the operator, the developer, or the machine itself?

That uncertainty feeds into a growing global security crisis. Regulation lags far behind technological progress, with international forums disagreeing on how to govern military AI.

Meanwhile, an AI arms race accelerates between the US and China, driven by private-sector innovation and strategic rivalry. Export controls on semiconductors and key materials only deepen mistrust, while less technologically advanced nations fear both being left behind and becoming targets of AI warfare. The risk extends beyond states, as rogue actors and non-state groups could gain access to advanced systems, making conflicts harder to contain.

As Williams highlights, the growing use of military AI threatens to speed up the tempo of conflict and blur accountability. Without strong governance and global cooperation, it could escalate wars faster than humans can de-escalate them, shifting the battlefield from soldiers to civilian infrastructure and leaving humanity vulnerable to errors we may not survive.

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Asia’s humanities under pressure from AI surge

Universities across Asia, notably in China, are slashing liberal arts enrollments to expand STEM and AI programmes. Institutions like Fudan and Tsinghua are reducing intake for humanities subjects, as policymakers push for a high-tech workforce.

Despite this shift, educators argue that sidelining subjects like history, philosophy, and ethics threatens the cultivation of critical thinking, moral insight, and cultural literacy, which are increasingly necessary in an AI-saturated world.

They contend that humanistic reasoning remains essential for navigating AI’s societal and ethical complexities.

Innovators are pushing for hybrid models of education. Humanities courses are evolving to incorporate AI-driven archival research, digital analysis, and data-informed argumentation, turning liberal arts into tools for interpreting technology, rather than resisting it.

Supporters emphasise that liberal arts students offer distinct advantages: they excel in communication, ethical judgement, storytelling and adaptability, capacities that machines lack. These soft skills are increasingly valued in workplaces that integrate AI.

Analysts predict that the future lies not in abandoning the humanities but in transforming them. When taught alongside technical disciplines, through STEAM initiatives and cross-disciplinary curricula, liberal arts can complement AI, ensuring that technology remains anchored in human values.

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Mexican voice actors demand AI regulation over cloning threat

Mexican actors have raised alarm over the threat AI poses to their profession, calling for stronger regulation to prevent voice cloning without consent.

From Mexico City’s Monument to the Revolution, dozens of audiovisual professionals rallied with signs reading phrases like ‘I don’t want to be replaced by AI.’ Lili Barba, president of the Mexican Association of Commercial Announcements, said actors are urging the government to legally recognise the voice as a biometric identifier.

She cited a recent video by Mexico’s National Electoral Institute that used the cloned voice of the late actor Jose Lavat without family consent. Lavat was famous for dubbing stars like Al Pacino and Robert De Niro. Barba called the incident ‘a major violation we can’t allow.’

Actor Harumi Nishizawa described voice dubbing as an intricate art form. She warned that without regulation, human dubbing could vanish along with millions of creative jobs.

Last year, AI’s potential to replace artists sparked major strikes in Hollywood, while Scarlett Johansson accused OpenAI of copying her voice for a chatbot.

Streaming services like Amazon Prime Video and platforms such as YouTube are now testing AI-assisted dubbing systems, with some studios promoting all-in-one AI tools,

In South Korea, CJ ENM recently introduced a system combining audio, video and character animation, highlighting the pace of AI adoption in entertainment.

Despite the tech’s growth, many in the industry argue that AI lacks the creative depth of real human performance, especially in emotional or comedic delivery. ‘AI can’t make dialogue sound broken or alive,’ said Mario Heras, a dubbing director in Mexico. ‘The human factor still protects us.’

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Stanford study flags dangers of using AI as mental health therapists

A new Stanford University study warns that therapy chatbots powered by large language models (LLMs) may pose serious user risks, including reinforcing harmful stigmas and offering unsafe responses. Presented at the upcoming ACM Conference on Fairness, Accountability, and Transparency, the study analysed five popular AI chatbots marketed for therapeutic support, evaluating them against core guidelines for assessing human therapists.

The research team conducted two experiments, one to detect bias and stigma, and another to assess how chatbots respond to real-world mental health issues. Findings revealed that bots were more likely to stigmatise people with conditions like schizophrenia and alcohol dependence compared to those with depression.

Shockingly, newer and larger AI models showed no improvement in reducing this bias. In more serious cases, such as suicidal ideation or delusional thinking, some bots failed to react appropriately or even encouraged unsafe behaviour.

Lead author Jared Moore and senior researcher Nick Haber emphasised that simply adding more training data isn’t enough to solve these issues. In one example, a bot replied to a user hinting at suicidal thoughts by listing bridge heights, rather than recognising the red flag and providing support. The researchers argue that these shortcomings highlight the gap between AI’s current capabilities and the sensitive demands of mental health care.

Despite these dangers, the team doesn’t entirely dismiss the use of AI in therapy. If used thoughtfully, they suggest that LLMs could still be valuable tools for non-clinical tasks like journaling support, billing, or therapist training. As Haber put it, ‘LLMs potentially have a compelling future in therapy, but we need to think critically about precisely what this role should be.’

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Humanoid robot unveils portrait of King Charles, denies replacing artists

At the recent unveiling of a new oil painting titled Algorithm King, humanoid robot Ai-Da presented her interpretation of King Charles, emphasising the monarch’s commitment to environmentalism and interfaith dialogue. The portrait, showcased at the UK’s diplomatic mission in Geneva, was created using a blend of AI algorithms and traditional artistic inspiration.

Ai-Da, designed with a human-like face and robotic limbs, has captured public attention since becoming the first humanoid robot to sell artwork at auction, with a portrait of mathematician Alan Turing fetching over $1 million. Despite her growing profile in the art world, Ai-Da insists she poses no threat to human creativity, positioning her work as a platform to spark discussion on the ethical use of AI.

Speaking at the UN’s AI for Good summit, the robot artist stressed that her creations aim to inspire responsible innovation and critical reflection on the intersection of technology and culture.

‘The value of my art lies not in monetary worth,’ she said, ‘but in how it prompts people to think about the future of creativity.’

Ai-Da’s creator, art specialist Aidan Meller, reiterated that the project is an ethical experiment rather than an attempt to replace human artists. Echoing that sentiment, Ai-Da concluded, ‘I hope my work encourages a positive, thoughtful use of AI—always mindful of its limits and risks.’

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AI that serves communities, not the other way round

At the WSIS+20 High-Level Event in Geneva, a vivid discussion unfolded around how countries in the Global South can build AI capacity from the ground up, rooted in local realities rather than externally imposed models. Organised by Diplo, the Permanent Mission of Kenya to the UN in Geneva, Microsoft, and IT for Change, the session used the fictional agricultural nation of ‘Landia’ to spotlight the challenges and opportunities of community-centred AI development.

With weak infrastructure, unreliable electricity, and fragmented data ecosystems, Landia embodies the typical constraints many developing nations face as they navigate the AI revolution.

UN Under-Secretary-General and Special Envoy for Digital and Emerging Technologies Amandeep Singh Gill presented a forthcoming UN report proposing a five-tiered framework to guide countries from basic AI literacy to full development capacity. He stressed the need for tailored, coordinated international support—backed by a potential global AI fund—to avoid the fragmented aid pitfalls seen in climate and health sectors.

WSIS

Microsoft’s Ashutosh Chadha echoed that AI readiness is not just a tech issue but fundamentally a policy challenge, highlighting the importance of data governance, education systems, and digital infrastructure as foundations for meaningful AI use.

Civil society voices, particularly from IT4Change’s Anita Gurumurthy and Nandini Chami, spoke about ‘regenerative AI’—AI that is indigenous, inclusive, and modular. They advocated for small-scale models that can run on local data and infrastructures, proposing creative use of community media archives and agroecological knowledge.

Speakers stressed that technology should adapt to community needs, not the reverse, and that AI must augment—not displace—traditional practices, especially in agriculture where livelihoods are at stake.

WSIS

Ultimately, the session crystallised around a core principle: AI must be developed with—not for—local communities. Participants called for training unemployed youth to support rural farmers with accessible AI tools, urged governments to invest in basic infrastructure alongside AI capacity, and warned against replicating inequalities through automation.

The session concluded with optimism and a commitment to continue this global-local dialogue beyond Geneva, ensuring AI’s future in the Global South is not only technologically viable, but socially just.

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Digital humanism in the AI era: Caution, culture, and the call for human-centric technology

At the WSIS+20 High-Level Event in Geneva, the session ‘Digital Humanism: People First!’ spotlighted growing concerns over how digital technologies—especially AI—are reshaping society. Moderated by Alfredo M. Ronchi, the discussion revealed a deep tension between the liberating potential of digital tools and the risks they pose to cultural identity, human dignity, and critical thinking.

Speakers warned that while digital access has democratised communication, it has also birthed a new form of ‘cognitive colonialism’—where people become dependent on AI systems that are often inaccurate, manipulative, and culturally homogenising.

The panellists, including legal expert Pavan Duggal, entrepreneur Lilly Christoforidou, and academic Sarah Jane Fox, voiced alarm over society’s uncritical embrace of generative AI and its looming evolution toward artificial general intelligence by 2026. Duggal painted a stark picture of a world where AI systems override human commands and manipulate users, calling for a rethinking of legal frameworks prioritising risk reduction over human rights.

Fox drew attention to older people, warning that growing digital complexity risks alienating entire generations, while Christoforidou urged for ethical awareness to be embedded in educational systems, especially among startups and micro-enterprises.

Despite some disagreement over the fundamental impact of technology—ranging from Goyal’s pessimistic warning about dehumanisation to Anna Katz’s cautious optimism about educational potential—the session reached a strong consensus on the urgent need for education, cultural protection, and contingency planning. Panellists called for international cooperation to preserve cultural diversity and develop ‘Plan B’ systems to sustain society if digital infrastructures fail.

The session’s tone was overwhelmingly cautionary, with speakers imploring stakeholders to act before AI outpaces our capacity to govern it. Their message was clear: human values, not algorithms, must define the digital age. Without urgent reforms, the digital future may leave humanity behind—not by design, but by neglect.

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UN leaders chart inclusive digital future at WSIS+20

At the WSIS+20 High-Level Event in Geneva, UN leaders gathered for a pivotal dialogue on shaping an inclusive digital transformation, marking two decades since the World Summit on the Information Society (WSIS). Speakers across the UN system emphasised that technology must serve people, not vice versa.

They highlighted that bridging the digital divide is critical to ensuring that innovations like AI uplift all of humanity, not just those in advanced economies. Without equitable access, the benefits of digital transformation risk reinforcing existing inequalities and leaving millions behind.

The discussion showcased how digital technologies already transform disaster response and climate resilience. The World Meteorological Organization and the UN Office for Disaster Risk Reduction illustrated how AI powers early warning systems and real-time risk analysis, saving lives in vulnerable regions.

Meanwhile, the Food and Agriculture Organization of the UN underscored the need to align technology with basic human needs, reminding the audience that ‘AI is not food,’ and calling for thoughtful, efficient deployment of digital tools to address global hunger and development.

Workforce transformation and leadership in the AI era also featured prominently. Leaders from the International Labour Organization and UNITAR stressed that while AI may replace some roles, it will augment many more, making digital literacy, ethical foresight, and collaborative governance essential skills. Examples from within the UN system itself, such as the digitisation of the Joint Staff Pension Fund through facial recognition and blockchain, demonstrated how innovation can enhance services without sacrificing inclusivity or ethics.

As the session closed, speakers collectively reaffirmed the importance of human rights, international cooperation, and shared digital governance. They stressed that the future of global development hinges on treating digital infrastructure and knowledge as public goods.

With the WSIS framework and Global Digital Compact as guideposts, UN leaders called for sustained, unified efforts to ensure that digital transformation uplifts every community and contributes meaningfully to the Sustainable Development Goals.

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