World Solve

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.

Some companies may control capabilities with effects comparable to national infrastructure. International law needs mechanisms that assign duties to firms without allowing states to evade responsibility. 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.

Automated scheduling, evaluation, pricing, and dismissal may shape work without a visible manager. The unresolved problem is giving workers collective voice over systems that are proprietary, dynamic, and difficult to audit. 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.

Automation may remove tasks gradually rather than eliminate whole occupations, leaving workers with unstable hours and declining bargaining power. The challenge is designing transition institutions before labor-market weakness becomes entrenched. 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.

AI-assisted work complicates ownership, credit, responsibility, and compensation. New systems must distinguish meaningful human contribution without rewarding superficial claims or enabling exploitation. 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.

Glass that selectively condenses in the presence of unresolved interpersonal tension turns private emotional states into visible signals. The challenge is preventing ambient architecture from becoming an involuntary emotion detector.

Regulatory systems that license strong emotional odours can suppress natural human signalling and create enforcement disparities. The problem is managing genuine public nuisance without policing private affective states through smell.

Residences that rearrange themselves overnight according to algorithmic mood forecasts may increase comfort for some while creating disorientation, loss of control, or surveillance concerns for others. The challenge is balancing adaptive environments with resident agency, privacy, and predictability.

States and institutions may need registries of deployed AI models, their data sources, risk levels, and accountability owners. The challenge is building disclosure rules that support safety without exposing legitimate security or privacy risks. This becomes particularly difficult during fiscal austerity, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

States and institutions may need registries of deployed AI models, their data sources, risk levels, and accountability owners. The challenge is building disclosure rules that support safety without exposing legitimate security or privacy risks. This becomes particularly difficult under climate migration pressure, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

Cities may deploy scent systems that automatically adjust collective emotional states. Over time some residents develop tolerance or adverse reactions, creating uneven effects and new forms of environmental inequality. The problem is designing transparent, opt-outable, and medically safe atmospheric interventions that do not become tools of coercion or social control.

As digital navigation layers become permanent fixtures in daily life, physical landmarks lose meaning and people lose the ability to orient themselves without screens. The challenge is creating systems or practices that preserve spatial awareness and independent wayfinding while still allowing beneficial digital tools. Solutions must work across cultures, age groups, and infrastructure levels, avoid creating new dependencies, and remain usable when networks fail.

Autonomous spacecraft may make split-second avoidance decisions using imperfect data and proprietary software. The unresolved problem is assigning responsibility, proving fault, and compensating affected parties across jurisdictions. 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.

Thousands of satellites may provide connectivity while increasing collision risk, radio interference, light pollution, and disposal complexity. The challenge is creating enforceable coordination and end-of-life standards across commercial and state operators. 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.

As more government activity moves online, corruption may shift from visible cash handling to invisible data manipulation, access control, and procurement capture. The challenge is detecting abuse in systems that look efficient on the surface. This becomes particularly difficult in informal settlements, because public institutions must remain fair, resilient, and accountable while adapting to new risks.

Genomic medicine could improve treatment while enabling insurers, employers, states, or platforms to infer sensitive traits. The challenge is ensuring people benefit from precision medicine without losing control over biological information. 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.

Quantum capabilities could transform optimization, chemistry, intelligence, and cryptanalysis while becoming concentrated in a few states. The challenge is preventing destabilizing secrecy and unequal access without blocking peaceful scientific collaboration. 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.

Quantum capabilities could transform optimization, chemistry, intelligence, and cryptanalysis while becoming concentrated in a few states. The challenge is preventing destabilizing secrecy and unequal access without blocking peaceful scientific collaboration. 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.

Quantum capabilities could transform optimization, chemistry, intelligence, and cryptanalysis while becoming concentrated in a few states. The challenge is preventing destabilizing secrecy and unequal access without blocking peaceful scientific collaboration. 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.

States may invest in national AI systems for education, law, defense, planning, and public administration. The unresolved problem is ensuring such systems remain bounded by law, reviewable by citizens, and resistant to capture by narrow interests. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.