Ethical AI Audits and Algorithmic Impact Assessments for Fair Resource Allocation

This involves systematically evaluating AI systems, particularly those used for decision-making (e.g., beneficiary selection, resource distribution), to identify and mitigate biases, ensure fairness, and uphold ethical principles. It goes beyond simple performance metrics to assess the societal impact, potential discrimination against protected groups, transparency concerns, and accountability mechanisms within the AI's lifecycle. Nonprofits can proactively detect and correct fairness issues in AI-driven programs, preventing harm and building trust with their communities.