Emerging Technologies and Impact Assessment IAIA Webinar Sept. 18, - - PowerPoint PPT Presentation

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Emerging Technologies and Impact Assessment IAIA Webinar Sept. 18, - - PowerPoint PPT Presentation

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Emerging Technologies and Impact Assessment IAIA Webinar Sept. 18, 2018 Presenter: Marla Orenstein Moderator: Bridget John (bridget@iaia.org) IAIA Webinar Series Accessing and Interpreting Biodiversity Information for High- level

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Emerging Technologies and Impact Assessment

IAIA Webinar

  • Sept. 18, 2018

Presenter: Marla Orenstein Moderator: Bridget John (bridget@iaia.org)

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IAIA Webinar Series

  • Accessing and Interpreting Biodiversity Information for High-

level Biodiversity Screening

  • Empowering Indigenous Voices in Impact Assessment
  • Understanding Impacts on Vulnerable Populations through

Psycho-Social Impact Assessment

  • Health Considerations in Impact Assessment
  • Resettlement and Impact Assessment – Points of

Intersection

  • And several more…

Visit http://www.iaia.org/webinars.php

@IAIAnetwork #iaiawebinar

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Housekeeping

Recording? ü Questions? ü Slides available? ü

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Emerging Technologies and Impact Assessment

IAIA Webinar

  • Sept. 18, 2018

Presenter: Marla Orenstein Moderator: Bridget John (bridget@iaia.org)

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IA has remained static.

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THE TECHNOLOGIES

Part 1:

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  • 1. Data Visualization
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  • 1. Data Visualization
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  • 1. Data Visualization
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  • 2. Remote sensing
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  • 2. Remote sensing
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  • 2. Remote sensing
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  • 2. Remote sensing
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  • 3. Blockchain
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  • 3. Blockchain
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  • 3. Blockchain
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  • 3. Blockchain
  • 3. Blockchain
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  • 4. Artificial Intelligence
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  • 4. Artificial Intelligence
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  • 4. Artificial Intelligence
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Source: https://blogs.nvidia.com/blog/2016/07/29/whats-difference-artificial-intelligence-machine-learning-deep-learning-ai/

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AIAIA

Part 2:

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What’s the best use of AI in IA right now?

  • Scoping
  • Baseline data compilation
  • Analysis
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Scoping

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Scoping

VERDICT: Relatively easy ‘win’ for computers in IA. Likely to

enable better scoping through inclusion of more information, and a more rigorous and transparent process of selecting valued components.

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Baseline data compilation

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Baseline data compilation

VERDICT: Methodological hurdles (e.g., what is good vs. bad

information) but conceptually simple. Early area for uptake of AI in IA.

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Assessment

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Assessment

VERDICT: More methodologic challenges, but potentially a

huge value-add.

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THE IMPLICATIONS

Part 3:

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This is the juicy stuff.

  • Human values and AI: who gets to decide

what’s best?

  • Will we all be replaced by computers?
  • Who wins and who loses?
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Human values and AI

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  • Communities: if IA is faster, cheaper and

easier, maybe more will be done.

  • Regulators: better if the IA is more

transparent or rigorous. Also better if better presentation or visualization of information.

  • Proponents: will it reduce cost? Provide

more ‘bang for the buck’?

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  • Consulting companies: more work with

greater efficiency. Move away from billable hour trap.

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iaia.emerging.tech @gmail.com New IAIA group!

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Questions?

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iaia.emerging.tech @gmail.com New IAIA group!