World Solve

Addressing consent not being meaningful 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.

The problem of free prior and informed consent missing continues to affect hundreds of millions of people and undermines progress on multiple Sustainable Development Goals. Existing responses remain fragmented, under-resourced and poorly adapted to local contexts. A strong solution must operate effectively under severe constraints of skilled personnel, infrastructure, electricity and connectivity. It should define clear measurable outcomes, identify possible unintended harms, and demonstrate how the intervention can be sustained by local institutions long after initial funding ends.

data being collected without consent remains one of the most urgent challenges of our time. Systems currently in place are inadequate for the scale and complexity of the problem. A successful approach must work where resources are scarcest and demonstrate clear, measurable results. It should identify possible harms, respect local agency, and show how the solution can be maintained and expanded by the communities it is meant to serve.

Pets that can demand short-term human embodiment for negotiations raise questions of consent, capacity, and responsibility. The challenge is defining boundaries that protect both species without creating unmanageable hybrid legal status.

The ability to freeze aging in specific organs or features while others continue creates new forms of body modification and potential health imbalance. The problem is ensuring medical safety, informed consent, and equitable access without enabling permanent physical stratification.

When an individual’s voice can be licensed for insertion into third-party speech, identity and consent become commercial assets. The challenge is preventing unauthorised or harmful use while still allowing legitimate creative or accessibility applications.

Shadows may become information-rich surfaces that can be scanned or recorded without the person’s knowledge. The problem is establishing ownership and consent rules for the data carried by one’s own silhouette while still allowing beneficial environmental sensing.

Future systems may allow designated family members to rewind and revise recorded life timelines after a person dies. The challenge is balancing grief, legacy, and historical accuracy while preventing revisionism that harms living people or erases inconvenient truths. Solutions must define clear consent rules, audit trails, and limits on alteration.

Cities may deploy scent systems that automatically adjust collective emotional states. Over time some residents develop tolerance or adverse reactions, creating uneven effects and new forms of environmental inequality. The problem is designing transparent, opt-outable, and medically safe atmospheric interventions that do not become tools of coercion or social control.

Future technologies may allow external parties to alter or insert content into shared dream environments while people sleep. The problem is establishing consent, ownership, and integrity boundaries for experiences that occur outside waking awareness. Any solution must define measurable harms, protect privacy without eliminating beneficial dream-sharing uses, and function across different neural interface standards.

Some future climate interventions may have planetary effects while remaining scientifically and politically contested. The challenge is designing governance for experimentation, consent, liability, and termination before deployment escalates. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

As heat, flooding, drought, and erosion intensify, some communities will need to move. The challenge is designing relocation policy that protects land rights, livelihoods, identity, and consent rather than turning climate adaptation into forced displacement. The challenge is especially acute in informal settlements, where legacy systems, coordination failures, and weak oversight can magnify harm.

As AI systems become embedded in education, employment, finance, healthcare, and government, people may technically retain choices while practical options are shaped by invisible optimization systems. A useful solution must preserve meaningful consent, contestability, and human responsibility. 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.

Digitization can preserve technique while also enabling unauthorized imitation or commercial appropriation. Consent-aware archives, provenance systems, and community licensing models could protect both cultural continuity and creator income. The opportunity is intentionally human-scale: a cooperative, clinic, workshop, school, or municipal team could pilot it within one locality and measure outcomes before expanding. Mathematical modeling can help with coordinate uncertainty, incentives, or resource constraints; entrepreneurship can turn a reliable workflow into a viable service.

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.

Data brokers can aggregate information from many different sources to build surprisingly detailed profiles on individuals, often without those individuals ever being aware or having consented. Meaningful regulation and technical limits on this practice remain inconsistent globally.

Cookie consent banners have become a near-universal nuisance without necessarily giving users meaningful, easy-to-understand control over their data. Redesigning this system to be both genuinely protective and user-friendly remains unresolved.

Today's most capable AI models are trained on vast datasets scraped from the internet, often including copyrighted works and personal information without clear consent. Finding effective training methods that avoid this legal and ethical gray area remains unsolved.

Genetic research sometimes uses samples collected from communities, particularly indigenous ones, without full ongoing consent or benefit sharing. What ethical obligations researchers owe these communities afterward remains unsettled.

Enhancing traits like intelligence or appearance raises questions about consent, since the child never agreed to the modification, alongside broader worries about fairness and inequality. This unresolved debate will only grow more urgent as genetic technology advances.