World Solve

Many valuable outputs may be generated through open-source contributions, community data, and user interaction rather than conventional employment. National accounts and compensation systems do not yet capture these flows fairly. 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 solar power not yet deployed at necessary scale. 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.

Large quantum computers may require specialized materials, cooling systems, and high-energy facilities. Their lifecycle impact, component reuse, and end-of-life management are not yet adequately designed. 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.

A system can be factually sophisticated yet dangerous when users cannot distinguish knowledge, inference, speculation, and fabrication. The challenge is creating interfaces and evaluation standards that communicate uncertainty in ways people actually understand and use. 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.

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.

Digital contracts can potentially be modified after signing in ways that aren't always immediately detectable without specialized forensic review. Building this verification directly into standard contract systems remains incompletely adopted.

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.

Old photographs and videos can be digitally altered using AI in ways that are difficult to distinguish from genuine historical restoration, risking the distortion of the historical record. Forensic tools for detecting this kind of manipulation remain underdeveloped.

Some advertisements use AI-generated voices without always clearly disclosing this to listeners, and consistent labeling standards for synthetic voice content remain unevenly enforced. Closing this transparency gap remains an unresolved regulatory and design issue.

Online marketplaces can host sellers using fabricated business identities or locations, making it difficult for buyers to know who they're actually purchasing from. Reliable, scalable seller verification remains an unresolved marketplace trust issue.

Verifying that voting machine software hasn't been secretly altered requires specialized technical audits that aren't consistently performed everywhere elections take place. Making this verification standard and accessible remains an unresolved election security challenge.

Digital signatures can be technically valid while still being applied under coercion, fraud, or through compromised credentials, and current systems don't fully verify true signer intent. Closing this verification gap remains an unresolved legal-technical challenge.

When ground-based internet infrastructure fails during disasters, many critical services lack an affordable, reliable satellite backup to maintain connectivity. Closing this resilience gap remains an unresolved infrastructure investment challenge.

Counterfeit medications sold through unauthorized online channels can be difficult to distinguish from legitimate products without lab testing, putting patients at serious risk. Scalable, affordable detection at the point of purchase remains an unresolved challenge.

Employee behavior remains one of the most common causes of security breaches, yet many small businesses lack the resources for regular, effective cybersecurity training. Scaling affordable, effective training globally remains an unresolved practical challenge.

As AI tools become more capable of providing real-time answer suggestions, detecting this kind of undisclosed assistance during interviews or exams remains technically difficult. This creates growing concerns about the integrity of remote assessments.

Many aging pieces of infrastructure lack continuous, affordable monitoring systems capable of detecting subtle structural problems well before they become dangerous. Making this kind of predictive monitoring widely affordable remains an unresolved engineering challenge.

Automated captioning has improved significantly but still performs unevenly across different accents, dialects, and less common languages, leaving some users with far less accurate accessibility support than others. Closing this accuracy gap remains incomplete.

Many connected devices become permanently vulnerable once their manufacturer stops issuing security updates, yet the devices often remain in active use for years afterward. A sustainable way to keep abandoned devices secure remains unresolved.

Mistakes in AI-assisted translation can have serious consequences in legal or medical contexts, yet independent verification of accuracy in these high-stakes settings remains inconsistent. Building reliable safeguards for critical-use translation remains an unresolved challenge.