Using AI to fight corruption in the Brazilian government

Using AI to fight corruption in the Brazilian government

talk I gave at Evidence2Action: Smart Government, on May 10th, 2017, San Francisco, CA

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Thiago Marzagão

May 10, 2017
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Transcript

  1. Using AI to fight corruption in the Brazilian government Thiago

    Marzagão data scientist OPS’ deputy head
  2. the last few years in Brazil...

  3. the Fachin list (4/11) - 17 political parties - 24

    out of 27 states - all former presidents - 3 governors - 8 ministers - 39 representatives - 24 senators - ...dozens of other bigshots
  4. None
  5. using AI to find corrupt employees

  6. what the app looks at: - how did he/she got

    in? (political connections vs entrance exams) - owns company? - punished before? - position? - ... hundreds of other variables
  7. using AI to predict procurement risk

  8. what the app looks at: - campaign donations? - how

    many employees? - has been around for how long? - how many bids? - scope of activities?
  9. cooperation w/ academia - how common are frauds in public

    procurement? - in 2014 alone: - 30,302 bidders w/ same phone numbers - 2,882 bidders w/ same addresses - 532,986 identical bids - 154,911 bids from same IP addresses - what’s the damage caused by frauds in public procurement? - (working on it) Claudio Ferraz, PUC-RJ Dimitri Szerman, PUC-RJ Frederico Finan, UC-Berkeley
  10. @tmarzagao http://thiagomarzagao.com thiago.marzagao@cgu.gov.br