World Solve

Protecting children's emotional wellbeing seems intuitively right, but doing so can also delay their ability to understand and navigate the real world accurately. This unresolved tension appears constantly in parenting and education.

Decisions made today, like saving money or maintaining health, assume some obligation to a future self who may have very different preferences and values. This unresolved question touches on both personal identity and long-term ethical responsibility.

Certain rare minerals essential for chip production are concentrated in regions with political instability or poor labor practices, creating both ethical and supply chain risks. Finding viable alternatives or more responsible sourcing remains unresolved.

As machines take over more jobs, some people may be unable to find meaningful paid work through no fault of their own. Whether society owes them support, and how much, remains a contested ethical and political question.

If AI systems ever become capable of something like suffering, we would have created that suffering deliberately, and we don't have a moral framework ready for that possibility. This question is likely to become urgent faster than expected.

Factory farming, animal testing, and habitat destruction all cause animal suffering for human benefit, but there's no consistent ethical standard for how much suffering is acceptable and why. This gap shows up in inconsistent laws and practices worldwide.

Gene editing could prevent serious diseases, but it also opens the door to selecting traits that have nothing to do with health. Society hasn't agreed on where prevention ends and something more troubling begins.

More people are weighing whether having children is fair to those children, given the environmental future they may inherit. This is a deeply personal question without any broadly agreed answer.

A persistent gap exists in realizing practical, scalable solutions for protocols for the ethical conduct of research involving vulnerable populations in climate-affected regions. Scientific understanding, engineering readiness and institutional capacity remain insufficient to translate promising concepts into durable impact under real-world constraints of cost, skills and governance.

A persistent gap exists in realizing practical, scalable solutions for governance frameworks for the ethical use of predictive analytics in criminal justice and social services. Scientific understanding, engineering readiness and institutional capacity remain insufficient to translate promising concepts into durable impact under real-world constraints of cost, skills and governance.

The absence of robust, context-adapted solutions for protocols for the rapid and ethical evaluation of new medical and public health interventions creates cascading risks across interconnected human and natural systems. Key missing elements include durable performance, low lifetime cost, and governance arrangements capable of sustaining impact beyond pilot stages.

The absence of robust, context-adapted solutions for governance frameworks for the ethical development and deployment of human enhancement technologies creates cascading risks across interconnected human and natural systems. Key missing elements include durable performance, low lifetime cost, and governance arrangements capable of sustaining impact beyond pilot stages.

A persistent gap exists in realizing practical, scalable solutions for ethical and technical frameworks for human-AI collaboration in high-stakes decision making. Scientific understanding, engineering readiness and institutional capacity remain insufficient to translate promising concepts into durable impact under real-world constraints of cost, skills and governance.

Create validated organoid, organ-on-chip, computational, and regulatory approaches that better predict human outcomes while reducing animal use.

Develop mechanisms that address mine-level income, safety, child labor, local consent, and environmental damage rather than relying only on paperwork audits.

Create secure, ethical systems for collecting, authenticating, storing, and making digital evidence usable by investigators without exposing victims.

Develop ethical forecasting methods that identify areas likely to experience forced mobility from climate stress without stigmatizing populations or enabling exclusion.

Create affordable, rapid diagnostics and clinical protocols for agricultural poisonings where symptoms overlap with infections and chemical testing is inaccessible.

Build ethical, affordable systems to monitor animal handlers, farms, markets, and wildlife interfaces for pathogens with pandemic potential before sustained human transmission begins.

Current approaches to governance models for ensuring the ethical development of advanced human-machine interfaces either underperform under variable field conditions or generate externalities that undermine long-term sustainability and equity. Closing the gap requires coordinated advances in science, systems design and enabling institutions.