Future of work

AI model maps how humans form emotions

Researchers in Japan have developed an AI framework designed to model how humans form emotional experiences by integrating bodily signals, sensory input and language. The work was led by scientists at Nara Institute of Science and Technology in collaboration with Osaka University.

The AI model draws on the theory of constructed emotion, which suggests emotions are built by the brain rather than hard-wired responses. Physiological data, visual cues and spoken descriptions were analysed together to replicate how people experience feelings in real situations.

Using unlabeled data from volunteers exposed to emotion-evoking images and videos, the system identified emotional patterns without predefined categories. Results showed about 75 percent alignment with participants’ own emotional assessments, well above chance levels.

The Japanese researchers say the approach could support emotion-aware AI applications in healthcare, robotics and mental health support. Findings were published in IEEE Transactions on Affective Computing, with potential benefits for understanding emotions that are difficult to express verbally.

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How Microsoft is shaping UN reform through digital infrastructure

Microsoft has announced a multi-year pledge to support the United Nations’ UN80 reform initiative, positioning AI and digital infrastructure as central tools for modernising multilateral governance.

The commitment follows agreement among all UN member states on efficiency and financial-stability measures, as the organisation faces growing operational demands amid constrained resources.

The initiative includes a dedicated innovation fund, preferential pricing for digital services, and free AI training for UN staff across agencies and missions.

Rather than focusing on policy direction, Microsoft frames its role as enabling institutional capacity, from procurement and logistics to humanitarian response and development planning, while encouraging other private-sector actors to align behind UN80 priorities.

Microsoft also plans to mobilise partners such as EY to support reform efforts, reinforcing a model where large technology firms contribute expertise, infrastructure, and coordination capacity to global governance systems.

Previous collaborations with UNICEF, UNHCR, ITU, and the ILO are cited as evidence that AI-driven tools can accelerate service delivery at scale.

The pledge highlights how multilateral reform increasingly depends on private technological ecosystems instead of purely intergovernmental solutions.

As AI becomes embedded in the core operations of international institutions, questions around accountability, influence, and long-term dependency are likely to shape debates about the future balance between public authority and corporate power.

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Hong Kong crypto licensing overhaul draws industry concern

Hong Kong’s proposed crypto licensing overhaul has drawn criticism from industry leaders, who warn it could disrupt compliant firms and deter blockchain exposure.

Under the proposals, the existing allowance enabling firms to allocate up to 10% of fund assets to crypto without additional licensing would be removed. Even minimal exposure would require a full licence, a move the association called disproportionate and harmful to market experimentation.

Concerns also focused on the absence of transitional arrangements. Without a grace period, firms may be forced to suspend operations while licence applications are reviewed.

The association proposed a six- to 12-month transitional window to allow continued activity during regulatory processing.

Further criticism focused on custody rules restricting client assets to SFC-licensed custodians. Industry representatives warned the measure could limit access to early-stage tokens, restrict Web3 investment, and impose unnecessary geographic constraints.

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Youth express higher concern over AI job disruption, global survey indicates

A Randstad survey of global workers shows that younger employees are significantly more worried than older counterparts about the impact of artificial intelligence (AI) on jobs and career prospects.

Respondents aged under 35 reported higher levels of concern that AI could disrupt employment, reshape skill demands and erode job security.

The survey highlights a generational divide in attitudes toward AI adoption: while many older workers express cautious optimism, younger workers often point to risks related to hiring, task automation and future opportunities.

Employers are urged to address these concerns by investing in skills development, training programmes and transparent communication about how AI will be deployed in the workplace.

The findings come amid broader global discussions on the future of work, with AI increasingly integrated into business processes such as recruitment, project planning and administrative automation.

Analysts suggest that targeted education and retraining initiatives could help younger employees adapt and benefit from AI-driven changes rather than feel displaced by them.

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New AI system helps improve cross-neurotype communication

Researchers at Tufts University have developed an AI-based learning tool designed to improve communication between autistic and neurotypical people. The project focuses on helping non-autistic users better understand autistic communication preferences.

The tool, called NeuroBridge, uses large language models to simulate everyday conversations and highlight how wording, tone and clarity can be interpreted differently. Users are guided towards more direct and unambiguous communication styles that reduce misunderstanding.

Unlike many interventions, NeuroBridge does not aim to change how autistic people communicate. The AI system instead trains neurotypical users to adapt their own communication, reflecting principles from the social model of disability.

The research, presented at the ACM SIGACCESS Conference on Computers and Accessibility, received a best student paper award. Early testing showed users gained clearer insight into how everyday language choices can affect cross-neurotype interactions.

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New consortium applies AI to early drug research

A new AI-driven drug discovery initiative with a budget exceeding €60 million has launched, bringing together academic and industry partners across Europe and North America. University College London is acting as the lead academic partner in the UK.

The five-year LIGAND-AI programme is funded through the Innovative Health Initiative and aims to speed up early drug discovery. Researchers will generate large open datasets showing how molecules bind to human proteins, supporting the training of advanced AI models.

The consortium, led by Pfizer and the Structural Genomics Consortium, includes 18 partners in nine countries. Work will focus on proteins linked to diseases such as cancer, neurological conditions and rare disorders.

UK based UCL scientists will help build global research networks and promote open sharing of protein samples and machine learning models. Organisers say the project supports open science and long-term goals to map chemical modulators for every human protein.

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Guernsey sees AI as a job transformer, not a net job killer

A BBC report highlights growing confidence among Guernsey’s business community that AI will change how work is done without reducing overall employment.

Paul Gorman, CEO of start-up Bank Aston, says AI will be embedded in workflows and may eliminate some roles while creating new ones, a view echoed by PwC, which sees adaptation rather than decline as the key challenge for the future workforce.

Educators and employers stress the need for skills development, with The Guernsey Institute working on AI-focused curricula and small creative firms using AI to compete with larger players.

While some in the creative sector describe AI as disruptive, there is broad agreement that its effects are transitional, prompting calls for policy coordination, including a proposal to establish a dedicated AI office to manage risks and opportunities.

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Horizon1000 aims to bring powerful AI healthcare tools to Africa

The Gates Foundation and OpenAI have launched a joint healthcare initiative, Horizon1000, to expand the use of AI across primary care systems in Sub-Saharan Africa. The partnership includes a $50 million commitment in funding, technology, and technical support to equip 1,000 clinics with AI tools by 2028.

Horizon1000’s Operations will begin in Rwanda, where local authorities will work with the two organisations to deploy AI systems in frontline healthcare settings. The initiative reflects the Foundation’s long-standing aim to ensure that new technologies reach lower-income regions without long delays.

Bill Gates said the project responds to a critical shortage of healthcare workers, which threatens to undermine decades of progress in global health. Sub-Saharan Africa currently faces a shortfall of nearly six million medical professionals, limiting the capacity of overstretched clinics to deliver consistent care.

Low-quality healthcare contributes to between six and eight million deaths annually in low- and middle-income countries, according to the World Health Organization. Rwanda, the first pilot country, has only one healthcare worker per 1,000 people, far below the WHO’s recommended level.

AI tools under Horizon1000 are intended to support, rather than replace, health workers by assisting with clinical guidance, administration, and patient interactions. The Gates Foundation said it will continue working with regional governments and innovators to scale the programme.

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Davos hears Fink warn AI could deepen inequality

BlackRock CEO Larry Fink used his Davos speech to put AI at the centre of a broader warning. In the AI era, trust may become the world’s ‘hardest currency.’

Speaking at the World Economic Forum, he argued that new technologies will only strengthen societies if people believe the benefits are real, fairly shared, and not decided solely by a small circle of insiders.

Fink said AI is already showing a familiar pattern. The earliest gains are flowing mainly to those who control the models, data, and infrastructure. He cautioned that without deliberate choices, AI could deepen inequality in advanced economies, echoing the fact that decades of wealth creation after the fall of the Berlin Wall still ended up concentrating prosperity among a narrower share of people than a ‘healthy society’ can sustain.

He also raised a specific fear for the workforce, asking whether AI will do to white-collar jobs what globalisation did to blue-collar work: automate, outsource, and reshape employment faster than institutions can protect workers and communities. That risk, he said, is why leaders need to move beyond slogans and produce a credible plan for broad participation in the gains AI can deliver.

The stakes, Fink argued, go beyond economic statistics. Prosperity should not be judged only by GDP or soaring market values, he said, but by whether people can ‘see it, touch it, and build a future on it’, a test that becomes more urgent as AI changes how value is created and who captures it.

Fink tied the AI debate to the legitimacy crisis facing Davos itself, acknowledging that elite institutions are widely distrusted and that many people most affected by these decisions will never enter the conference. If the WEF wants to shape the next phase of the AI transition, he said, it must rebuild trust by listening outside the usual circles and engaging with communities where the modern economy is actually built.

He also urged a different style of conversation about AI, less staged agreement and more serious disagreement, aimed at understanding. In that spirit, he called for the forum to take its discussions beyond Davos, to places such as Detroit, Dublin, Jakarta and Buenos Aires, arguing that only real dialogue, grounded in lived economic realities, can give AI governance and AI-driven growth the legitimacy to last.

Diplo is live reporting on all sessions from the World Economic Forum 2026 in Davos.

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Davos 2026 reveals competing visions for AI

AI has dominated debates at Davos 2026, matching traditional concerns such as geopolitics and global trade while prompting deeper reflection on how the technology is reshaping work, governance, and society.

Political leaders, executives, and researchers agreed that AI development has moved beyond experimentation towards widespread implementation.

Microsoft chief executive Satya Nadella argued that AI should deliver tangible benefits for communities and economies, while warning that adoption will remain uneven due to disparities in infrastructure and investment.

Access to energy networks, telecommunications, and capital was identified as a decisive factor in determining which regions can fully deploy advanced systems.

Other voices at Davos 2026 struck a more cautious tone. AI researcher Yoshua Bengio warned against designing systems that appear too human-like, stressing that people may overestimate machine understanding.

Philosopher Yuval Noah Harari echoed those concerns, arguing that societies lack experience in managing human and AI coexistence and should prepare mechanisms to correct failures.

The debate also centred on labour and global competition.

Anthropic’s Dario Amodei highlighted geopolitical risks and predicted disruption to entry-level white-collar jobs. At the same time, Google DeepMind chief Demis Hassabis forecast new forms of employment alongside calls for shared international safety standards.

Together, the discussions underscored growing recognition that AI governance will shape economic and social outcomes for years ahead.

Diplo is live reporting on all sessions from the World Economic Forum 2026 in Davos.

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