Interactional
Configurations

Innovating AI Governance: From Principles to Practice

Five Problems, Five Teams

BigPlex

BigPlex

Immi-
gration

PanPlat

Cert
Mark

MoFo

Could we develop a generic "audit layer" for AI/ML models so that fairness and ethical compliance could be verified via an API?
What sort of data governance would let an organization committed to movement building around a healthy internet and trustworthy AI better leverage data its members are willing to share with it?
What kind of governance institution would facilitate the effective and fair use of AI/ML in the immigration space?
Could we develop a generic certification mark that would be useful across a wide variety of applications to satisfy consumers, regulators, and activists of AI/ML tools' ethical quality?
What kind of "governance in a box" might a philanthropic supporter of a data aggregation platform provide to grantees to facilitate acceptable and secure data sharing?

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ABOUT THE WORKSHOP

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FORMING THE BAND

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EXERCISE INSTRUCTIONS

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ORGANIZATIONAL EMPATHY PT I

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SEND OFF INSTRUCTIONS

Preworkshop Exercise(s) - Asynchronous

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Stakeholder Empathy Part II

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GOVERNANCE MIND STRETCHING

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Workshop Day One

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WELCOME

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ABOUT THE WORKSHOP

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EXERCISE INSTRUCTIONS

INTRODUCE THE BAND

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EXERCISE INSTRUCTIONS

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ANALOGIZING

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EXERCISE INSTRUCTIONS

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EXTRACTING INSIGHTS

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EMISSARIES

Workshop Day 2

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INSTRUCTIONS/ RECAP

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SHARE INSIGHTS - 5x5

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EXERCISE INSTRUCTIONS

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INSIGHTS TO IDEAS

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EXERCISE INSTRUCTIONS

EXAMPLE SLIDES

Heads Down Work

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pitch      catch
pitch      catch
pitch      catch
pitch      catch
pitch      catch

Pitch &
CATCH

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pitch      catch
pitch      catch
pitch      catch
pitch      catch
pitch      catch

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SRI+

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pitch      catch
pitch      catch
pitch      catch
pitch      catch
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PITCH
THIS ITERATION
CATCH
with ITERATION FORWARD FEEDBACK

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20min

IG4AI Configurations

By Dan Ryan

IG4AI Configurations

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