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

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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


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HOWTO “AI FOR GOOD”

Julien Cornebise, Ph.D. 2019/03/21 - NVIDIA GTC

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

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A PATH (TOO) WELL TRODDEN

▸ 30 years of ICT4D ▸ Many fiascos ▸ “One Laptop Per Child” ▸ Telecentres ▸ PlayPump ▸ Many pitfalls to learn from!

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“TECHNOLOGY - NO MATTER HOW WELL DESIGNED - IS ONLY A MAGNIFIER OF HUMAN INTENT AND CAPACITY.”

Kentaro Toyama (2015)

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PARTNER HAND IN HAND WITH DOMAIN EXPERTS: EMPOWER THEM

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“- We TOLD you it was hard.


  • Yeah, but now that I’VE tried, we KNOW it’s hard.”
https://xkcd.com/1831/
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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?

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2017 DECODE DARFUR: FINDING BURNED VILLAGES

Daniel Worrall Milena Marin @milena_iul

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SLIDE 10 Stuart Price/Albany Associates Brian Steidle
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DEEP LEARNING TO DECODE DARFUR

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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.

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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

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2018
 TROLL PATROL: STUDYING ABUSE AGAINST WOMEN ON TWITTER

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SLIDE 17 Slide redacted for online publication
 https://decoders.amnesty.org/projects/troll-patrol/findings
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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!

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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…

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NOW WHAT?

…in addition to www.hrw.org/donate ;-)

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THANK YOU!

eai4good@elementai.com

www.hrw.org/donate