Community Interventions Using AI
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Learning Outcomes
- Examine outdated methods of detecting blight and nuisances, and old code enforcement techniques.
- Discover how artificial intelligence can streamline this process while eliminating geographic bias and improving community relationships.
- Explore future uses of this technology to aid planners in creating equitable interventions and revitalizing neighborhoods.
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With Tuscaloosa, Alabama, as a case study, learn about a new, innovative approach that uses artificial intelligence to minimize bias related to nuisance identification and removal. This technology, and its ability to create community interventions, improves efficiency, minimizes conflict, and significantly reduces geographic bias. Learn how to implement these techniques to further equity, diversity, and inclusion within communities by focusing on interventions — not enforcement. Scalable by community size and multi-disciplinary approach, this method offers something for planners, housing advocates, data analysts, nonprofits, and elected officials.
Get strategies to create equitable community interventions by leveraging artificial intelligence. Technology can connect underserved populations to social services to generate long-lasting change.