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Video course · 15 chapters · 141 min · certificate

AI in Government: Promises, Perils, and Accountability

Public-sector AI through the lens of accountability: its real promise and failures, why government AI is different (no exit, domination), principles and impact assessments, and responses from Indonesian experts.

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What you'll learn

  • Describe the promise of public-sector AI
  • Analyse real failures of government AI
  • Explain why citizens can't exit government AI
  • Apply the concept of non-domination
  • Use principles and AI impact assessments
  • Relate the debate to Indonesia's AI rollout

Chapters

15 chapters · 141:12
  1. 4:30 01Intro Members Welcome An international lecture and public discussion on AI in government.
  2. 1:33 02Setup Members Lecture setup Structure of the session: lecture, responses and sharing.
  3. 4:59 03Promise Members The promise of public-sector AI AI already delivers real benefits in government services.
  4. 4:29 04Perils Members Risks and failures When government AI goes wrong, who is accountable and who says sorry?
  5. 2:00 05Local Members Indonesia's AI context Indonesia's rollout of AI-assisted social aid with facial recognition, brought close to home.
  6. 3:13 06Theory Members No exit and non-domination Unlike private services, citizens can't exit government AI, which creates a distinct risk.
  7. 4:06 07Theory Members Four channels of domination Domination is living at the mercy of power you can't question; it depends on the rule of law.
  8. 5:52 08Principles Members Three factors and four principles What makes risks worse, and principles to build in, with inclusion as a foundation.
  9. 4:50 09Tools Members AI impact assessments Checking systems against principles before they touch people, as an ongoing loop.
  10. 11:46 10Panel Members Panel response: Iwan A panelist's response on Indonesian public administration and importing templates.
  11. 12:31 11Panel Members Panel response: Yudistira Agreeing that public and private AI differ, and implications for regulation.
  12. 12:58 12Panel Members Panel response: Deborah Safeguarding frameworks for AI use, and the ecosystem needed to implement them.
  13. 8:04 13Q&A Members Q&A round one Questions on safeguards, ecosystems and implementation.
  14. 26:49 14Q&A Members Responses to round one Answers on regulatory incentives, punitive measures and jurisdiction over AI use.
  15. 33:32 15Wrap-up Members Round two and closing Final questions, including privacy and opting out, and closing remarks.

Jobs this course suits

Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.

Policy MakersPolicy AnalystsPublic Health Officers