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Machine Learning and Social Participation Hello! We are Marlia - PowerPoint PPT Presentation

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Machine Learning and Social Participation Hello! We are Marlia Monteiro and Yasodara Crdova a lawyer & a web specialist We <3 technology and public policies ! You can find us at: @mmariliaa0 m.monteiro@mpp.hertie-school.org

  1. Machine Learning and Social Participation

  2. Hello! We are Marília Monteiro and Yasodara Córdova a lawyer & a web specialist We <3 technology and public policies ! You can find us at: @mmariliaa0 m.monteiro@mpp.hertie-school.org @yaso ycordova@cyber.harvard.edu

  3. PARTICIPATION Ideally. Democracy depends on participation. Direct democracy relies on massive participation.

  4. Modules Platforms algorithms

  5. 1. Public consultations Sharing the development of our guidelines: bills go to public scrutiny . Open participation. Open collaboration.

  6. Text: same structure, easier collaboration ■ Bills are text ■ Texts that share structure ○ Sections ○ Titles ○ Chapters etc Output can be changed with the collaboration of many hands. Even when they don't write text. Even when they just like it.

  7. Data from where? Marco Civil Data Privacy Bill Principles and rights for More than 1200 comments + Internet use. More than 2500 articles in .pdf format -59 comments and suggestions. different countries (more details at (more details at http://bit.ly/29MbOiv) http://bit.ly/2fLALCl) Ministry of Justice platform: http://bit.ly/2h0l36q

  8. participacao.mj.gov.br/dadospessoais

  9. Actors involved New text People Reorganizer collaborating The new text can be submitted. Responsible for reorganize, arrange, Everyone hopes that it's going to be a put new text into the older text - is the plausible text, embracing and Everyone can contribute, using e-mail maintainer. Her job is to keep the bill cohesive. as identification. Tools have to coherent and accommodate prevent abuse. suggestions and comments of the collaborators. Interactive Institutions Algorithms Interface Big articles, academic papers, Platform to support the uploading excerpts in pdf. All these reorganization. It has to be A "Dashboard", Interactive in a way scenarios need to be possible and transparent, open. The datasets have that results can be edited. Here, one foreseen in the collaboration to present provenance information. can see and simulate different processes. situations.

  10. ~$ sudo apt-get ~$ sudo apt-get install purge reorganizer reorganizer Intimacy Reorganizer would The data gathered Private life Image break down on the platform, plus Dignity contributions sent Secrecy the data generated Breach through PDF into .txt by the reorganizer ++ formed the input of analysis for the web Elaborate a data expert team dictionary with key units of analysis per axes

  11. Three products A series of Dashboard Red algorithms to An interface so that New rules to write work with text people could analyse laws: simpler, open the output of the and collaborative. An open platform with reorganizer and Simplified language processes of deep suggest new appears as key. learning to give modifications based in insights about data. data visualization. Questions as: "how many times the answers was negative" - we tried to answer with sentiment analysis, as an example.

  12. Main requirements Open Source Transparent Reliable

  13. Place your screenshot here Dashboard Graphics and datavis shows relationships that aren't noticeable if data isn't visually explained

  14. Opinion-forming and Influence The “louder voices” and stakeholder engagement

  15. Sentiment Analysis Overall negative opinion about the items in consultation

  16. Hope

  17. What we need BigData Massive participation Institutionalization Instruments that use digital technology to improve participation need Laws and regulations Code is at Github - https://github.com/W3CBrasil/AI-Social/tree/lemonade

  18. Thanks! Any questions?

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