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AI Auditing Tool for Bias and Transparency in Student Hackathons

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AI Auditing Tool for Bias and Transparency in Student Hackathons

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MusaRidwanItopa Oct. 25, 2025
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Challenge: Safety and ethics

Industries

InclusionLearning and educationSafety and ethics

Technologies

Data science & analyticsOther

Tags

AI

Description

A tool to evaluate AI and tech projects for bias, fairness, and ethical alignment during hackathons and competitions.

Detailed Idea

Alignment with DF goals (BGI, Platform growth, community)

  • BGI: Promotes ethical AI use by providing fair, personalized learning opportunities for underserved students.

  • Platform Growth: Expands AI adoption in education ecosystems; blockchain credentials incentivize engagement and retention.

 

  • Community: Strengthens global student networks through shared learning, mentorship, and verifiable achievements.

Problem description

AI projects and hackathon submissions may unintentionally perpetuate bias or fail to meet ethical standards, reducing trust and fairness in competitions.

Proposed Solutions

Develop an AI auditing system that analyzes datasets, models, and outputs for bias, transparency, and fairness. Provides actionable recommendations to improve alignment with ethical standards.

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