AI

vs

Climate Change

CCAI  @

Humanitarian Reading Group - 31/01/2019

Background

(what this all all about)

CCAI  @

There is still time. Let's act.

It may still technically be possible to limit warming to 1.5C if drastic action is taken now

Smith et al, Nature Communications, 15 jan 2019


How?

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Visceralize Factual Knowledge

  • Reason is not enough (we've tried facts for years)

 

  • People need relatability

 

  • Visualization  and emotion enforce message

Influence Organizations

  • Individual actions are not enough

 

  • Can be counter-productive

 

  • Governments need public support (and demands)

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Executive summary

 

 

Yoshua Bengio & Jennifer Chayes

CCAI  @

Vision

(long term)

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An app.

Viral

Usable

Realistic

Accurate

Actionable

Compelling

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Improve on other initiatives like:

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Visualizations

 ·  Geographically precise climate models to predict the probability of future events at a user-chosen location (e.g., floods, fires, hurricanes)

·  Compelling user-controlled visualization 

 · Condition on

    - climate change intensity

    -  governmental actions

    -  global behaviour

 

Actions

Write to your representatives

 

Compare political programs

 

Favor respectful companies

CCAI  @

Coming up

(and what to do to help)

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Use Generative Adversarial Networks

CycleGANs can learn to transform images even with no or very little matched pairs

Hopeful progress

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Start small

Choose sub-goal:

  • Fires
  • Floods
  • Draughts
  • Snow
  • ...

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CycleGan Experiment with floods, Sasha Luccioni
https://github.com/sashavor/karmaGAN

Data

  • Governmental agencies (Canada + France)

  • Simulations

    • Physical

    • Video Games

  • Web

    • Timestamped-street view

    • Google Images scrapping

    • #10yearsChallenge

  • NGOs

    • Ouranos

    • GIEC

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Want to help?

You like GANs

Help us train them, choose and process the data, explore hyperparameters etc.

You like models

Help us run accurate climate simulations to model likely events at a given location

You like people

Help us understand behaviors, belief propagation and have a wide impact

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You like structures

Help us predict consequences of macroscopic change and suggest relevant actions

Reach
Out
 

Kris Sankaran

Post-Doc - MILA

sankaran.kris@gmail.com

Victor Schmidt

PhD student - MILA

vsch@pm.me

Ask & join the

CCAI Slack channel!

CCAI  @

François Corneau-Tremblay

MSc. student  - MILA

corneauf@mila.quebec

Sasha Luccioni

Post-Doc - MILA

SashaVLuccioni@gmail.com

Karthik Mukkavilli

Post-Doc - MILA

karthik.skmukkavilli@gmail.com
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