AAAI FSS-19: Artificial Intelligence in Government and Public Sector

AI in government and the public sector faces unique challenges and opportunities. These systems will be held to a higher standard since they are supposed to operate for the public good. They face increased scrutiny for transparency, fairness, explainability, and operation without unintended consequences. Governments provide critical services and are expected to be the provider of last resort, sometimes backstopping the commercial sector. How can the development, deployment, and use of these systems be managed to ensure they meet these requirements by design and in practice?


  • Early areas for adoption of AI
  • Using ai to encourage public service innovation
  • Trust and transparency
  • Robust and resilient
  • Bias
  • Role of public-private partnerships
  • Verification and validation for deep learning
  • Translating from .Com best practices to .Gov
  • Interaction paradigms (intelligent augmentation/human-machine collaboration….)
  • Systematic approach for the use of AI in government
  • Privacy
  • Leveraging ai innovations from open source
  • Cultivating AI literacy with public, government officials
  • AI engineering best practices
  • Incentivizing AI engineering best practices
  • Facilitators and inhibitors to the use of AI in government and public sector such as standards and best practices

Organizing Committee

Frank Stein (chair) (IBM), Mihai Boicu (GMU), Lashon Booker (Mitre), Michael Garris (NIST), Ibrahim Haddad (Linux Foundation), Zach Kurtz (SEI), Tien Pham (CCDC ARL), Alun Preece (Cardiff University), Jim Spohrer (IBM)