Using AI to fight corruption in the Brazilian government

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

Transcript

1. Using AI to fight corruption in the Brazilian government
   Thiago Marzagão
   data scientist
   OPS’ deputy head
   

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2. the last few years in Brazil...
   

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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
   

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5. using AI to find corrupt employees
   

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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
   

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7. using AI to predict procurement risk
   

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8. what the app looks at:
   - campaign donations?
   - how many employees?
   - has been around for how long?
   - how many bids?
   - scope of activities?
   

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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
   

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10. @tmarzagao
    http://thiagomarzagao.com
    thiago.marzagao@cgu.gov.br
    

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