AI in the public sector
AI in the public sector: service delivery and automation, fraud and eligibility, and the accountability, bias and transparency requirements.
AI in public sector and nonprofit work operates under constraints that differ sharply from the private sector: constrained budgets, procurement rules, legacy IT systems, political accountability, and a mandate to serve all citizens equitably rather than optimize for profit. This block builds sector-specific fluency in how AI concepts translate to government agencies, multilateral organizations, and NGOs. You will examine where AI genuinely improves service delivery, fraud detection, resource allocation, and program evaluation, how to assess vendor claims and pilot results realistically, and what governance structures, risks, and checks are non-negotiable when deploying AI that affects vulnerable populations, public trust, and constituents who cannot simply opt out of the service.
Ce que vous allez maîtriser
- Explain core AI concepts using examples relevant to government and nonprofit operations
- Identify high-value AI use cases across a public sector or nonprofit value chain and separate genuine ROI from vendor hype
- Apply an evaluation framework to assess AI solutions and pilots given constrained budgets and long procurement cycles
- Design governance checks and risk mitigations before deploying AI systems affecting citizens or beneficiaries