Domain: Urban Planning/Smart Cities
Description: Smart city algorithms for resource allocation, traffic management, and urban planning show systematic bias against underserved communities.

Ethical Challenges:

• Resource Allocation Bias: Unequal distribution of city services and infrastructure investments
• Environmental Justice: Disproportionate placement of polluting facilities in minority neighborhoods
• Digital Divide: Algorithms that favor areas with better data coverage
• Participation Inequality: Underrepresentation of marginalized voices in data collection

Public Datasets:

• NYC Open Data: Comprehensive city services and demographics data
• URL: https://opendata.cityofnewyork.us/
• Boston Street Bump Dataset: Crowdsourced road condition data showing geographic bias
• URL: https://data.boston.gov/dataset/street-bump-pothole-reports
• 311 Service Requests: Multi-city datasets showing service request patterns
• NYC 311: https://data.cityofnewyork.us/Social-Services/311-Service-Requests-from-2010-to-Present/erm2-nwe9
• Chicago 311: https://data.cityofchicago.org/Service-Requests/311-Service-Requests/v6vf-nfxy