World Solve

Addressing online scams stealing people's money 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.

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.

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.

Robocalls and spam calls continue to reach users despite various blocking technologies, partly because scammers can spoof caller information and operate across international boundaries where enforcement is inconsistent. A fully effective, universal solution remains unbuilt.

Scammers can quickly generate convincing fake charity campaigns using AI-created images and stories, especially in the aftermath of real disasters, diverting donations away from legitimate relief efforts. Verifying legitimacy quickly enough remains an unresolved challenge for donation platforms.

AI can now generate entirely fake but convincing photos and personas used to build fraudulent romantic or social relationships online for financial exploitation. Detecting and removing these fake profiles quickly enough remains an unresolved platform challenge.

Scammers can deploy AI-driven chat systems that convincingly impersonate real customer service representatives to extract sensitive information from victims. Detecting and shutting down these operations quickly remains an unresolved challenge for platforms and regulators.

Scammers can now use AI to generate convincing images of products that don't exist or don't match what's actually shipped, making it harder for shoppers to identify fraudulent listings. Detection tools on marketplaces remain inconsistently effective.

Scammers increasingly use AI to generate convincing fake job postings and interview processes designed to steal personal information or money from desperate job seekers. Platforms are still catching up to detect and remove these scams effectively.

Scammers increasingly use AI-cloned voices of family members to fake emergencies and pressure victims into sending money quickly, exploiting trust before people have time to verify. Reliable, fast verification methods to counter this remain underdeveloped.

AI-powered chatbots can now conduct long, personalized, convincing conversations designed to manipulate victims into financial scams, operating at a scale no human scammer could match. Detecting and stopping this abuse remains an evolving challenge.

A few seconds of someone's voice is now enough to generate convincing fake audio of them saying anything, and current detection tools often fail to catch high-quality fakes in real time. This is already being used for financial scams targeting families and businesses.

Weak enforcement capacity has allowed scam operations, sometimes linked to trafficking, to flourish in the region. Coordinated regional cybercrime task forces and stronger digital forensics capacity are urgently needed.

Weak digital literacy and law enforcement capacity make the continent both a source and target of online fraud and scams. Regional cybercrime units and public awareness campaigns need significant investment.

Criminal syndicates operate large-scale cyber-scam compounds across border enclaves in Southeast Asia, holding thousands of trafficked foreign nationals in forced labor conditions beyond local jurisdiction reach.

First-time digital payment users in rural areas are highly vulnerable to social engineering scams, causing severe sudden financial losses.

Scammers constantly find new ways around call-blocking systems, and phone networks still let large volumes of fraudulent calls through. A truly effective, adaptive solution remains elusive.

Fraudulent scholarship offers generated to look authentic can convincingly target students seeking financial aid, extracting personal or banking information under false pretenses. Detection and public awareness campaigns remain inconsistently effective.

Fraudulent warranty claims, sometimes supported by AI-generated fake documentation or images, can cost manufacturers significant money if not caught before payout. Detecting this kind of fraud at scale remains an unresolved operational challenge.

Fraudulent internship offers, sometimes requesting upfront fees or personal information, can be convincingly generated to target students eager for career opportunities. Detecting and preventing this scam pattern remains an unresolved challenge for students and universities alike.