Challenge

Build a PoC That Benefits Society

Build a proof-of-concept solution that you think solves a real-world problem. You have creative freedom to tackle any challenge you want.

Judging Criteria

Projects are evaluated across two equally weighted dimensions:

  • Solution Quality (50%): How effectively your PoC solves the chosen problem, how functional and demonstrable it is, and how meaningfully does it address XAI or computer vision problems.
  • Real-World Applicability (50%): How relevant the problem is today, whether the solution could be deployed in practical scenarios, and whether there is a clear path from PoC to production.

Inspiration and Ideas

Consider domains where understanding LLMs matters:

  • Healthcare: Explaining medical advice or diagnosis assistance.
  • Legal and compliance: Interpreting contract analysis or regulatory guidance.
  • Education: Understanding how AI tutors arrive at explanations.
  • Content moderation: Explaining why content was flagged.
  • Financial services: Making credit decisions or fraud detection interpretable.
  • Customer support: Understanding chatbot response generation.

Consider domains where vision-language modeling matters:

  • Accessibility: Better scene and object descriptions for assistive tools.
  • Healthcare imaging workflows: Safer clinician support.
  • Industry and logistics: Interpreting visual inspection and anomaly reports.

Submission Guidelines

  • Open source: Publish your code on GitHub.
  • Working PoC: The repository should include an implemented proof-of-concept or design.
  • submission.md: Include a submission.md file in your repository with a concise write-up covering the problem statement, solution approach, along with the application and expected real-world impact.

Tips for Success

  • Start simple: Pick a focused problem you can realistically solve or design in a weekend.
  • Think users, not features: Be explicit about who benefits and how.
  • Show, do not tell: A working demo is better than a perfect pitch.
  • Answer the “so what?”: Explain why your solution matters for your use case.
  • Be realistic: Prioritize current, practical problems over hypothetical ones.

Rules

  • Build or design something that works well enough to demonstrate.
  • You can use any programming language, framework, or additional tooling.
  • Individual and team submissions are accepted.

Resources

Support is available on Discord.

The strongest submissions will not just run; they will show why interpretable AI matters for real people and real decisions.

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