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Apresentacão do Projeto Serenata de Amor

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Serenata de Amor presentation at the MIT/Harvard Artificial Intelligence initiative - Sep 2017

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Apresentacão do Projeto Serenata de Amor

  1. 1. Artificial Intelligence and the future of Democracy
  2. 2. TEAM <3
  3. 3. BRAZIL: A COUNTRY THE SIZE OF A CONTINENT
  4. 4. BRAZIL: A COUNTRY THE SIZE OF A CONTINENT Popular corruption cases: Odebrecht, Mensalão and Petrobras scandals.
  5. 5. BRAZIL: A COUNTRY THE SIZE OF A CONTINENT OPENNESS 8th on the global open data index by the OKF
  6. 6. BRAZIL: A COUNTRY THE SIZE OF A CONTINENT OPENNESS CORRUPTION 79th on Transparency International’s Corruption Perceptions Index 8th on the global open data index by the OKF
  7. 7. SO MUCH DATA WE COULD TRAIN A ROBOT
  8. 8. SO MUCH DATA WE COULD TEACH A ROBOT Crowdfunding: 3 month campaign, planning and meeting people. R$ 80.424 = U$ 25.000 Monthly, we receive U$ 3.000 (+ 500) Biggest campaing at Latin America
  9. 9. SO MUCH DATA WE COULD TEACH A ROBOT Rosie Artificial Intelligence: accountability using open data
  10. 10. SO MUCH DATA WE COULD TEACH A ROBOT Hypothesis Driven Development: development based on solving problems. Example
  11. 11. SO MUCH DATA WE COULD TEACH A ROBOT Social Media
  12. 12. What we developed ~600 volunteers
  13. 13. What we developed Rosie promotes the dialog between parliamentarian and people on Twitter @RosieDaSerenata
  14. 14. HOW FAR WE’VE COME ~8,000 suspicions of unlawful expenses
  15. 15. HOW FAR WE’VE COME First placed technology project on GitHub in Brazil
  16. 16. HOW FAR WE’VE COME Invited to present in Brazilian Congress
  17. 17. What we could develop an AI that could be used as an assistant - cheap, fast, public. If OPEN. @RosieDaSerenata
  18. 18. What we could develop an AI that could be used as an assistant - cheap, fast, public. If OPEN. @RosieDaSerenata
  19. 19. Replacement? Aid? Accountability tool? AI could expand the decision making process over public spending in many levels. People could have AGENCY on public datasets - 2 types of Data extraction: passive, active. - The last one would be community generated. @RosieDaSerenata
  20. 20. Journalism? Free press? Data Journalism Fake News Data Driven Journalism @RosieDaSerenata
  21. 21. SERENATADEAMOR.ORG/EN Yasodara Córdova: @yaso Bot: @RosieDaSerenata

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