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.

Spoken words may leave lasting sonic residues audible only to selected listeners, creating hidden layers of communication and potential surveillance. The challenge is controlling persistence, access, and erasure of these echoes so they do not undermine privacy or create invisible social hierarchies.

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.

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.

Future political manipulation may be conducted by large networks of bots, synthetic personas, and microtargeted propaganda. The challenge is detecting and deterring these campaigns without undermining legitimate civic participation. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

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.

Germany has expanding agricultural frontiers bordering wildlife habitat where novel pathogens can jump species, but there is no routine, affordable genomic surveillance at these interfaces to catch spillover before human transmission begins.

Networks of AI-assisted fake dating profiles can be deployed at scale to build trust with vulnerable users before extracting money or personal information. Detecting these coordinated networks before real harm occurs remains an unresolved platform 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 chat systems can sometimes misread customer frustration or urgency, responding in ways that unintentionally worsen a situation rather than resolve it. Better emotional context understanding in these systems remains an unresolved design challenge.

Companies can use AI to generate legal language that's technically accurate but deliberately obscures consumers' actual rights, making it harder to understand what protections truly apply. Improving genuine clarity in these documents remains unresolved.

Automated pricing systems can sometimes raise prices sharply during shortages or emergencies based purely on demand signals, without regard for fairness or necessity. Building ethical guardrails directly into these systems remains inconsistently implemented.

Attackers can sometimes obtain or forge digital certificates that make malicious software appear legitimately signed and safe to install. Strengthening the verification processes behind these certificates remains an unresolved security challenge.

Contracts translated using automated tools can sometimes contain subtle errors that create legal ambiguity between parties speaking different languages, and verification processes haven't fully adapted to catch these risks. Closing this legal exposure gap remains unresolved.

Scammers use AI to generate convincing fake investment platforms, testimonials, and marketing materials that can specifically target and convince vulnerable or inexperienced investors. Detecting and shutting these operations down quickly enough remains an unresolved challenge.

Networks of compromised devices, often unknowing to their owners, can be rented out cheaply on illicit markets for attacks like large-scale website disruptions. Dismantling these persistent botnet infrastructures remains an ongoing cybersecurity challenge.

As detection tools improve, so do the techniques used to generate reviews designed specifically to slip past them, creating an ongoing arms race. Staying consistently ahead of these evasion tactics remains technically 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.

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.

Counterfeit electronics, from chargers to batteries, sometimes skip proper safety certification entirely, creating fire and shock risks for unsuspecting consumers. Detecting and stopping these products at scale remains an unresolved supply chain challenge.