World Solve

Addressing tax havens hiding wealth 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.

Automated trading algorithms can sometimes trigger rapid, extreme price swings in smaller or less liquid markets, especially during unusual conditions, without any single actor intending market harm. Building safeguards against this kind of systemic risk remains incomplete.

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.

Safety filters designed to block clearly harmful requests can sometimes be bypassed through indirect or creatively phrased questions that still elicit dangerous information. Closing this gap while preserving the system's general usefulness remains an unresolved balancing act.

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 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.

Attackers can automatically test massive numbers of previously leaked username and password combinations across many websites to find accounts where the same credentials still work. Reducing the effectiveness of this widespread technique remains an unresolved security 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.

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.

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.

Tutoring platforms can be targeted by individuals using AI-generated fake credentials to appear more qualified than they actually are, and verification systems don't always catch this convincingly fabricated background information. Closing this trust gap remains an unresolved platform challenge.

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.

Coordinated groups, sometimes aided by bots, can flood a business or creator with negative reviews for reasons unrelated to actual quality, and platforms struggle to distinguish this from genuine customer dissatisfaction at scale. Fair, reliable detection of this manipulation remains unresolved.

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.

Purchased or AI-generated fake followers and engagement can make an account appear far more influential or trustworthy than it actually is, misleading both audiences and advertisers. Reliable detection and removal of this fake activity remains inconsistently enforced.

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.

A fabricated but realistic-seeming weather alert or disaster warning could spread panic or cause people to take unnecessary risky action before it's identified as false. Faster detection and correction systems for this kind of misinformation remain underdeveloped.

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.

Some websites secretly run scripts that use a visitor's device to mine cryptocurrency without their knowledge, slowing down devices and consuming electricity without consent. Consistent detection and blocking of this practice remains incomplete across browsers.