Data, AI, and Accountability for Fair Outcomes
Open data on evictions, transit gaps, and incomes helps target new housing where it matters most. Privacy safeguards and community review boards ensure insights guide action without exposing vulnerable households.
Data, AI, and Accountability for Fair Outcomes
Algorithms can flag underused parcels near transit, test massing options, and stress-test costs. Residents should shape the criteria, ensuring models elevate equity, access, and safety—never just the fastest path to profit.
Data, AI, and Accountability for Fair Outcomes
Public dashboards tracking timelines, budgets, and promised units build credibility. When delays happen, clear explanations and recovery plans keep momentum, invite problem-solving, and turn passive observers into informed, engaged collaborators.