Tiago C. Peixoto
@participatory
Digital Government/GovTech Coordinator for the Western Balkans and the EU @WorldBank | Mineiro, from Araguari. Views are my own.
You might like
How to guarantee #AI failure in public (and private) sector organizations: a field guide. #ICT4D #AI4Good linkedin.com/pulse/how-guar…
New paper of mine on #AI and #Democracy or, if it still exists, #AI4Good
📢 New Policy Paper Excited to share our latest policy paper, The Algorithmic Hand: Artificial Intelligence, Democracy, and Collective Action at Scale, authored by Tiago C. Peixoto. 👉 Read the full paper here: bit.ly/the_algorithmi… #Policy #Research #Democracy #AI
An initiative for more taxes on the super wealthy is not a radical idea but a response to radical inequality in the world, says José Gilberto Scandiucci, Brazil’s Minister-Counsellor to the UN at the #FFD4. news.un.org/en/story/2025/…
🤖 🏛️ What does AI mean for government, beyond a few chatbots and a lot of hype? I’ve put some of the ideas bouncing around my head into a vision paper, laying out what “the agentic state” might look like. 🧵
Where [oh where] are the compelling generative AI use cases in public-sector workflows? techpolicy.press/why-generative… A reality check by @participatory
techpolicy.press
Why Generative AI Isn’t Transforming Government (Yet) — and What We Can Do About It
Tiago C. Peixoto explores why generative AI's public-sector impact lags behind its promise and offers recommendations for moving forward.
that's from "The Geography of AI Adoption: New Usage Data Offers a Glimpse on Which Economies May See Greater Impact" by @lukesjordan @participatory @darkgreener mitgovlab.org/news/the-geogr…
🚨New research out today - The Geography of #GenAI Adoption: New @AnthropicAI Usage Data Offers a Glimpse on Which Economies May See Greater Impact tinyurl.com/laborgenAI
[Hmmm] "Traditionally constrained by limited corruption data—often available only through infrequent and expensive audits—scholars now can generate synthetic corruption measures at scale" voxdev.org/topic/methods-… @participatory @Dzinnbauer
Re-imagining African Unity in a Digitally Interdependent World research-portal.uu.nl/ws/portalfiles…
We're constantly told how countries are run by the elites. However, mapping the economic elite has been incredibly tough to do. But now, a new dataset compiled by 70+ researchers provides data on over 3,500 elites in 16 countries:
Going #digital. Transforming government through smart procurement. I have always believed that agile #procurement is a key policy policy lever to modernise #government. Great @wbg_gov post by @participatory on Romania's digital ecosystem. blogs.worldbank.org/en/digital-dev…
Looking for compelling *gen* AI use cases in public service delivery - ideally beyond the usual RAG/retrieval tropes. Genuinely interested in automation of public workflows, not just smarter chatbots or info search. What’s actually interesting and working out there?
The Empty Chair: Using LLMs to Raise Missing Perspectives in Policy Deliberations arxiv.org/pdf/2503.13812
A Replica for our Democracies? On Using Digital Twins to Enhance Deliberative Democracy philarchive.org/archive/NOVARF…
In a study modeling 270 diabetic retinopathy screening scenarios in China, the most cost-effective approach was a "copilot" model (AI + human). An estimated health benefit of US$4.64 million per 100,000 people, compared to manual screening. #AI #HealthEcon arxiv.org/pdf/2503.20160
New @MIT/@OpenAI experiment and the paradox of AI companionship: voice-based chatbots initially reduce loneliness compared to text, but higher usage across formats correlates with increased loneliness, emotional dependence, and reduced human socialization. arxiv.org/pdf/2503.17473
New research uses LLMs to simulate online discussions & evaluate moderation strategies at scale. Study finds game-based approaches outperform traditional guidelines & smaller models create more diverse conversations. #AIdeliberation arxiv.org/pdf/2503.18858
New study shows physicians using AI assistance improved clinical decision accuracy from ~50% to ~70% when diagnosing chest pain, without exacerbating racial or gender biases. nature.com/articles/s4385…
Learn fast and build things: Lessons from six years of studying AI in the public sector adalovelaceinstitute.org/policy-briefin…
United States Trends
- 1. Staged N/A
- 2. #WonderMan N/A
- 3. #EverydayStrongSkinWithJimmy N/A
- 4. JIMMY DERMBUDDY NUFORMULA N/A
- 5. Musetti N/A
- 6. Ilhan Omar N/A
- 7. Djokovic N/A
- 8. Dort N/A
- 9. Shelton N/A
- 10. Pond N/A
- 11. Kendrick N/A
- 12. Simon Williams N/A
- 13. Bill Belichick N/A
- 14. Jussie Smollett N/A
- 15. Sinner N/A
- 16. J Cole N/A
- 17. Jamal Murray N/A
- 18. maisie N/A
- 19. Purdue N/A
- 20. Fears N/A
You might like
-
Participedia
@participedia -
Open Gov Partnership
@opengovpart -
Ethan Zuckerman
@EthanZ -
Archon Fung
@Arfung -
Stephen Davenport
@SteveRDavenport -
Trust, Accountability & Inclusion Collaborative
@TAICollab -
David Eaves
@daeaves -
Sortition Foundation
@SortitionNow -
Citizen Participation - [email protected]
@OliverEscobar -
Steven Clift
@democracy -
NCDD
@ncdd -
giulio quaggiotto
@gquaggiotto -
Hélène Landemore
@landemore
Something went wrong.
Something went wrong.