World Solve

People increasingly need trusted identity across migration, finance, education, health, and employment systems. The challenge is preventing fragmented credentials, exclusion, surveillance, and corporate dependency. Affected communities must have meaningful control over data, revenue, deployment decisions, and the right to refuse harmful applications. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

States may increasingly use prediction to allocate policing, welfare, migration, health, and education resources. Future rights frameworks must address errors, feedback loops, opacity, and the danger of being treated as a probability rather than a person. The solution must work with limited capital, intermittent services, and local maintenance capacity. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

Cities will contain wider differences in age, culture, disability, work schedules, and climate exposure. The challenge is making public spaces safe and useful without imposing one dominant pattern of behavior. The solution must work with limited capital, intermittent services, and local maintenance capacity. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

Global connectivity increasingly depends on vulnerable subsea cables exposed to anchors, accidents, sabotage, natural hazards, and unclear legal responsibility. Future resilience requires diversified routes, monitoring, repair capacity, and international cooperation. The solution must work with limited capital, intermittent services, and local maintenance capacity. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

Future progress on human development and planetary health depends on solving agricultural soils becoming increasingly degraded. Conventional approaches have proven insufficient. The required intervention must integrate community knowledge, data and appropriate technology while remaining affordable, privacy-preserving and operable with minimal external support. Strong solutions will articulate measurable impact metrics, risk mitigation strategies, and a plan for sustained operation by local actors after the pilot phase.

Public services will increasingly depend on rapidly updated models and decision pipelines. The unresolved problem is keeping these systems lawful, understandable, and corrigible as they evolve faster than formal regulations. This becomes particularly difficult in informal settlements, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

Historical records increasingly exist in fragile digital formats that may outlive current software, vendors, and hardware. The unresolved problem is preserving public memory across decades of technological change. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Border systems may increasingly use risk scoring, biometric checks, and predictive screening. The unresolved problem is ensuring security tools do not become opaque instruments of arbitrary exclusion or rights violations. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Transport systems may be increasingly optimized by private algorithms that control routing, pricing, access, and safety. The unresolved problem is ensuring these systems improve mobility for everyone rather than only for users who can pay most. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Private companies may increasingly run water, transport, energy, communication, and housing systems with public consequences. The open problem is designing regulation that ensures reliability, accountability, and public recourse when essential services fail. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Political communication will increasingly include deepfakes, voice cloning, and AI-generated persuasion at scale. The challenge is developing election rules, platform standards, and enforcement systems that protect speech while limiting manipulation. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Future infrastructure will increasingly rely on systems capable of making decisions without immediate human supervision. The unresolved problem is creating architectures that can prove what they did, explain uncertainty, fail safely, and remain controllable during abnormal conditions. The solution must produce useful coordination and accountability while minimizing collection of sensitive personal and behavioral data. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

Future infrastructure will increasingly rely on systems capable of making decisions without immediate human supervision. The unresolved problem is creating architectures that can prove what they did, explain uncertainty, fail safely, and remain controllable during abnormal conditions. The design must remain functional when standards, trade routes, data access, and diplomatic cooperation are unreliable. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

Future infrastructure will increasingly rely on systems capable of making decisions without immediate human supervision. The unresolved problem is creating architectures that can prove what they did, explain uncertainty, fail safely, and remain controllable during abnormal conditions. The solution must work with limited capital, intermittent services, and local maintenance capacity. The research opportunity is to define measurable success criteria, test the approach in realistic settings, identify failure modes, and create a pathway from prototype to accountable deployment.

Governments will increasingly rely on automated systems to allocate benefits, flag risks, prioritize inspections, and recommend enforcement. The unresolved problem is creating governance structures that make these systems transparent, contestable, and accountable without disabling public service delivery. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Businesses seeking to cut corners could potentially use AI to generate fabricated but convincing compliance records for regulatory audits, and auditors don't always have the tools to catch increasingly sophisticated fake documentation. Strengthening audit verification remains an unresolved challenge.

Some financial institutions still use voice recognition as an authentication method, but increasingly realistic AI voice cloning threatens to undermine this security layer. Strengthening these systems against synthetic voice attacks remains an active, unresolved challenge.

AI can help generate convincing fake diplomas, transcripts, or certification documents, and verification systems haven't fully caught up with detecting these increasingly sophisticated forgeries. Closing this verification gap remains an unresolved challenge for employers and institutions.

Implanted medical devices like pacemakers increasingly connect wirelessly for monitoring, but security protections for these devices haven't kept pace with the sensitivity of what's at stake if they're compromised. Closing this gap remains an urgent but underaddressed challenge.

Scammers increasingly use AI to generate convincing fake job postings and interview processes designed to steal personal information or money from desperate job seekers. Platforms are still catching up to detect and remove these scams effectively.