A growing online hobby community wants to use AI tools to help volunteer moderators highlight the most inspiring and educational hobby project showcases for their weekly featured collection. As someone interested in AI/ML, you'll learn to work alongside AI tools to build simple but effective systems that assist (not replace) human curation, ensuring diverse voices and projects get recognized fairly.
Challenge #1: AI-Powered Curation System (20 minutes)
Deliverable:
Challenge #2: AI-Powered Fairness Problem Solving (10 minutes)
Fairness Challenge: A hobby showcase features excellent technique and creativity, but the creator is soft-spoken in their explanation video and doesn't use technical terminology. Meanwhile, another showcase has flashy presentation but less educational value. Community moderators are unsure how to fairly evaluate these different presentation styles without bias.
Work with AI to develop a fair evaluation approach that considers:
Show Your Work: Document your conversation with AI and explain:
Deliverables
Bonus Points:
• AI Prompt Engineering: How to ask AI effective questions about fairness and bias
• Algorithmic Fairness: Understanding how AI systems can inadvertently discriminate
• Community Values: Balancing different types of valuable contributions (technical skill vs. teaching ability vs. creativity)
• Inclusive Design: Creating systems that work for diverse communication styles and backgrounds
• Human-AI Collaboration: Using AI as a tool while maintaining human judgment and values
AI Collaboration Log - Your conversation with AI and key learnings about fair showcase selection
Fair Evaluation Framework - Bias-aware approach developed with AI assistance
Community Guidelines - Simple explanation for volunteer moderators on implementing fair curation
• Video (<10min) - Explain your approach to non-technical community members, what you learned about AI fairness, and remaining questions about AI-assisted community curation
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