World Solve

Policy decisions often implicitly require comparing the value of different lives, such as in healthcare rationing, yet no philosophical framework has fully justified how such comparisons should be made. This unresolved question has real consequences in medical ethics.

Classic philosophical and literary dilemmas often pit personal love against broader moral duty, and no framework has fully settled which should reasonably take precedence. This unresolved tension continues to surface in real personal and professional decisions.

Medical ethics constantly requires weighing longer survival against potential suffering, and no single framework has fully resolved how this tradeoff should be decided. This unresolved question remains deeply relevant in end-of-life care.

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.

Choices made now about climate, debt, and resource use will affect people who don't yet exist and have no voice in the decision. Philosophy hasn't settled how much weight their unheard interests should carry.

When an autonomous system makes a harmful choice, moral responsibility is hard to pin on any single party, the programmer, the company, or the AI itself. Ethics hasn't caught up with the reality of decisions made without direct human involvement.

Most democratic input happens only at the ballot box, leaving years between elections where citizens have little formal say in major decisions. Better tools for ongoing public input could make governance more responsive.

Modern AI models are often accurate but operate like black boxes, even to the people who built them. Without a way to explain their reasoning, it's hard to trust them in medicine, law, or other high-stakes decisions.

Develop practical data collection, modeling, public deliberation, and evaluation tools for decisions currently made with incomplete or inaccessible evidence. The challenge is especially acute in informal settlements, where existing solutions often assume stable institutions, high incomes, continuous connectivity, or centralized service delivery.

Create methods for governments to evaluate bias, error, and accountability in automated public decisions while preserving citizen privacy and system security.

Develop practical learning models focused on finance, measurements, health, digital tools, and work decisions for adults with interrupted education.

Local government budgets in Mexico are rarely published in a format accessible to ordinary citizens, limiting the ability of communities to hold officials accountable for spending decisions.

A persistent gap exists in realizing practical, scalable solutions for mechanisms for ensuring that the voices of frontline communities shape climate and development decisions. 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.