Domain: E-commerce/Recommendation Systems
Description: Online marketplace recommendation algorithms show bias in product suggestions, affecting business opportunities for minority-owned businesses and perpetuating stereotypes.

Ethical Challenges:

• Economic Opportunity Bias: Reduced visibility for minority-owned businesses
• Stereotype Reinforcement: Algorithms that reinforce gender and racial stereotypes in product recommendations
• Filter Bubbles: Creation of echo chambers that limit exposure to diverse products and sellers
• Price Discrimination: Dynamic pricing that varies based on user demographics

Public Datasets:

• Amazon Product Review Dataset: Large-scale product reviews with potential demographic indicators
• URL: https://nijianmo.github.io/amazon/index.html
• Yelp Open Dataset: Business reviews and ratings with geographic and demographic patterns
• URL: https://www.yelp.com/dataset
• RecSys Challenge Datasets: Annual competition datasets for recommendation systems
• URL: https://recsys.acm.org/recsys-challenge/