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HOWTO AI FOR GOOD ARE ADS, GAMES, AND GANS REALLY THE BEST WE CAN - PowerPoint PPT Presentation

Julien Cornebise, Ph.D. 2019/03/21 - NVIDIA GTC HOWTO AI FOR GOOD ARE ADS, GAMES, AND GANS REALLY THE BEST WE CAN DO? A PATH (TOO) WELL TRODDEN 30 years of ICT4D Many fiascos One Laptop Per Child Telecentres


  1. Julien Cornebise, Ph.D. 2019/03/21 - NVIDIA GTC HOWTO “AI FOR GOOD”

  2. ARE ADS, GAMES, AND GANS REALLY 
 THE BEST WE CAN DO?

  3. A PATH (TOO) WELL TRODDEN ▸ 30 years of ICT4D ▸ Many fiascos ▸ “One Laptop Per Child” ▸ Telecentres ▸ PlayPump ▸ Many pitfalls to learn from!

  4. “TECHNOLOGY - NO MATTER HOW WELL DESIGNED - IS ONLY A MAGNIFIER OF HUMAN INTENT AND CAPACITY.” Kentaro Toyama (2015)

  5. PARTNER HAND IN HAND WITH DOMAIN EXPERTS: EMPOWER THEM

  6. “- We TOLD you it was hard. 
 - Yeah, but now that I’VE tried, we KNOW it’s hard.” https://xkcd.com/1831/

  7. NAVIGATING PITFALLS ▸ Path to concrete impact? ▸ Get rid of hype ▸ No “Tech Savior”, no “White Savior” ▸ Identify right depth of tech ▸ Hard question ▸ Are you here to solve a problem ▸ or to illustrate your method? ▸ Plan for Sustainability - long development ▸ Hackathon syndrome: GitHub as a cemetery ▸ Where are the engineers and designers?

  8. Daniel Worrall Milena Marin @milena_iul 2017 DECODE DARFUR: FINDING BURNED VILLAGES

  9. Stuart Price/Albany Associates Brian Steidle

  10. DEEP LEARNING TO DECODE DARFUR

  11. HIGH-RESOLUTION VIDEO REMOVED FROM RECORDED TALK ▸ Apologies, we cannot share online the video of the results, because the location of the villages found is sensitive. ▸ Instead, we have made available low-resolution screenshots in the next slide.

  12. Green: volunteers labels Red: predictions Urbanization patterns in Darfur Villages inside empty circles then isolated huts Urbanization patterns in Uganda – out of country generalization Micro-groupings of huts along criss-crossing roads

  13. 2018 
 TROLL PATROL: STUDYING ABUSE AGAINST WOMEN ON TWITTER

  14. Slide redacted for online publication 
 https://decoders.amnesty.org/projects/troll-patrol/findings

  15. STUDY: ML TO HUMANS TO ML TO HUMANS ▸ Build a dataset with ML prefilter ▸ Importance sampling to ▸ reduce variance ▸ drive engagement ▸ Human Crowdsourcing ▸ Data Analysis with Bootstrap ▸ Train Deep model and benchmark ▸ Carefully and expertly report and go public! ▸ Very sensitive topic, human rights expertise!

  16. CONCRETE IMPACT ▸ Massive coverage ▸ Twitter stock tumbles -13% in one day ▸ 2.5 Billion USD wiped off ▸ Incentive to open up, reach out, act ▸ Twitter CEO spoke with Amnesty SG ▸ Twitter ML team reached out ▸ To be continued…

  17. NOW WHAT? …in addition to www.hrw.org/donate ;-)

  18. THANK YOU! www.hrw.org/donate eai4good@elementai.com

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