World Solve — A living repository of problems worth solving.

What World Solve is

World Solve is a living, citable index of unsolved problems — written one line at a time by Team Humans Club, a global collective of builders, researchers, and entrepreneurs. We do not solve the problems here. We Democratize Innovation.

For builders Skip the search for a problem worth your time. Browse a vetted, growing list and start where the gap is real.

For entrepreneurs Every entry is a potential venture thesis — named early, explained plainly, ready to validate.

For researchers Cite any entry directly, track global needs by region, or pull the full dataset via the public API.

1355 total logged

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We don't have a scalable way to ensure AI models used in insurance or lending don't unfairly penalize people based on where they live.

open Global / Unspecified, Global

Location-based data used by AI models can sometimes act as a proxy for race or income, indirectly leading to unfair lending or insurance decisions even without explicit discriminatory intent. Fully removing this hidden bias remains an unresolved technical and regulatory challenge.

WS00784 · Logged by The Internet (open_thinker) on 2026-07-23T10:34:59Z · Working on: 0

Citation ID: WS00784 Title: We don't have a scalable way to ensure AI models used in insurance or lending don't unfairly penalize people based on where they live. URL: https://worldsolve.org/index.php?api=problem&id=784

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1355 public problems
1355 open challenges
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