World Solve

Scammers can now use AI to generate convincing images of products that don't exist or don't match what's actually shipped, making it harder for shoppers to identify fraudulent listings. Detection tools on marketplaces remain inconsistently effective.

Fraudsters can use AI to generate entirely fake but convincing identities, complete with fabricated financial histories, to open accounts and commit fraud at scale. Detecting these synthetic identities before damage occurs remains a growing, unresolved challenge for financial institutions.

Insurance companies increasingly use AI to assess claims, but there's limited independent, scalable auditing to ensure these systems aren't unfairly denying or delaying valid claims. Building trustworthy oversight for this remains an unresolved regulatory and technical challenge.

Companies increasingly build products using AI models developed by others, but there's no consistent, scalable way to verify those models are safe and reliable before integration. This creates hidden risk throughout the growing AI supply chain.

Tools designed to detect AI-written assignments frequently produce false positives, wrongly flagging legitimate student work as AI-generated. This unreliability creates real consequences for students while genuine cheating sometimes slips through undetected.

Advanced spyware can be installed on phones without any visible sign, and even security experts sometimes struggle to detect its presence through standard tools. Better, more accessible detection methods remain an urgent unmet need.

AI health tools can sometimes provide advice that sounds plausible but is subtly wrong or dangerous, and there's no consistent, scalable system for catching these errors before they reach real patients. This gap grows more urgent as AI health tools become more widely used.

Ageing populations, urban diets, and pollution will drive surges in cardiovascular disease, diabetes, cancer, and chronic respiratory conditions. Scalable chronic-care models, digital coaching tools, and preventive policy reforms are needed.

Rising stress, social isolation, and economic precarity will increase depression, anxiety, and cognitive disorders, especially among youth. Scalable digital therapeutics and integrated community mental-health ecosystems are needed.

Rising stress, social isolation, and economic precarity will increase depression, anxiety, and cognitive disorders, especially among youth. Scalable digital therapeutics and integrated community mental-health ecosystems are needed.

AI tools will increasingly support diagnosis and triage, but biases and opaque models may harm patients. Transparent validation frameworks, audit trails, and clinician–AI training curricula will be key.

AI tools will increasingly support diagnosis and triage, but biases and opaque models may harm patients. Transparent validation frameworks, audit trails, and clinician–AI training curricula will be key.

Access to field programmes is often restricted to well-funded institutions from certain countries. Virtual research infrastructures and inclusive collaboration models could broaden participation.

Passwords remain widely used despite being easy to steal or forget, and alternatives like biometrics or hardware keys haven't achieved universal, trusted adoption. A truly seamless and secure replacement remains unbuilt at global scale.

A large share of workers lack formal contracts, social protection, and stable incomes, undermining productivity and tax bases. Digital formalisation pathways and portable social-benefit platforms can improve inclusion.

Pension and healthcare costs rise as the working-age population shrinks, forcing reforms in labour markets and social protection. Modelling tools and policy pilots for sustainable welfare redesign are needed.

Pension and healthcare costs rise as the working-age population shrinks, forcing reforms in labour markets and social protection. Modelling tools and policy pilots for sustainable welfare redesign are needed.

Skills in digital, green, and care sectors outpace education outputs, creating unfilled vacancies. Pan-European skills-matching and micro-credentialing platforms can align supply and demand.

Regulatory and technical bottlenecks—including differing signalling systems and capacity constraints—slow modal shift. Integrated corridor-planning tools and interoperability solutions can boost rail usage.

Turbulence controls transport and heating but remains mathematically challenging. Laboratory plasma experiments and numerical advances are needed.