World Solve

Addressing bureaucracy that is painfully slow is critical for achieving the 2030 Agenda. Current efforts fall short in scale, speed and equity, leaving the most vulnerable behind. Any viable solution must function in low-resource settings with limited specialists, transport, laboratory capacity and broadband. Proposals should specify quantifiable biological, social or environmental outcomes, openly discuss potential risks, and present a realistic pathway for long-term maintenance and local ownership beyond short research pilots.

Individualised audio environments inside shared lifts can isolate passengers and prevent common situational awareness. The problem is balancing personal comfort with the need for collective auditory cues in confined public spaces.

Smart textiles that adapt to and then lock in a wearer’s patterns can limit self-expression and create unwanted permanence. The challenge is designing garments that learn usefully without removing the wearer’s ability to change appearance or discard unwanted adaptations.

If facial appearance can be altered continuously through filters or implants, both social recognition and security systems lose stable anchors. The problem is maintaining trustworthy identity verification and human connection without requiring permanent biometric locks that themselves create new risks.

AI-designed biological molecules may be created faster than their safety, ecological, and clinical properties can be characterized. The open problem is building evaluation pipelines proportionate to capability and deployment risk. The approach must scale before formal institutions, infrastructure, and land-use systems fully catch up with population growth. 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.

Public agencies will buy models, datasets, inference services, and automated workflows from vendors whose systems may not be easy to inspect. The unresolved problem is creating contract standards that make public AI procurement auditable, portable, and lawfully contestable. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

Fabricated reviewer identities, complete with fake credentials, have occasionally been used to manipulate the peer review process in favor of certain papers. Verifying reviewer authenticity more rigorously remains an unresolved challenge for academic publishing.

Some counterfeit or unsafe products carry fabricated safety certification marks that can be difficult for both consumers and regulators to quickly verify as fraudulent. Strengthening certification verification systems remains an unresolved consumer protection issue.

Instruction manuals generated automatically for online product listings sometimes contain fabricated or inaccurate safety information, since the process isn't always reviewed by someone with real product knowledge. This creates real safety risks for consumers.

Bad actors can spread coordinated campaigns across several platforms at once, and current detection systems often work in isolation per platform rather than recognizing the broader cross-platform pattern. Building this kind of coordinated detection remains an unresolved industry challenge.

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.

Voice-activated devices can sometimes misinterpret background conversation as an intentional wake command, inadvertently recording or transmitting private moments. Eliminating this risk entirely while keeping devices responsive remains an unresolved design tradeoff.

AI language models have been shown to generate plausible-sounding but entirely fictional legal citations, and this has already caused real problems in actual court filings. Building reliable safeguards against this in legal workflows remains an unresolved and urgent challenge.

AI-generated marketing content can sometimes make health claims about food or supplement products that aren't accurate or substantiated, and regulatory review hasn't fully adapted to this new content generation speed. Closing this gap remains an unresolved consumer protection issue.

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.

Fraudulent insurance claims can now include AI-generated images of damage that never occurred, and current claims review processes aren't fully equipped to detect this kind of fabricated evidence. Closing this detection gap remains an unresolved challenge for insurers.

Employees or attackers can sometimes use carefully crafted prompts to trick AI systems integrated into company tools into revealing sensitive internal information they weren't meant to share. Fully closing this security gap remains an unresolved AI safety challenge.

Realistic AI-generated video of fake news anchors delivering false information can be produced quickly and convincingly, and detection systems still struggle to flag this content before it spreads widely. Staying ahead of this format remains an unresolved media integrity 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.

AI-generated medical images used for testing or training purposes could potentially be mistaken for real patient data if not carefully labeled and verified, creating risk of diagnostic confusion. Building reliable safeguards against this remains an emerging challenge.