About the Workshop

Let's
Get
Started

AI/ML NEED GOVERNANCE

REAL PROBLEM

SOLUTION DIRECTION

TEAM

STRETCH

IDEATE

PROTOTYPE

PITCH
& CATCH

GET STARTED

HERE

THERE

Design Thinking

Rational Problem Solving

Design
Thinking

Creative
Problem
Solving

1. problems worth solving are always somebody's problem

2. insight, ideation, and iteration are techniques

4. countering cognitive and organizational inertia IS everything

3. creativity can be cultivated

Four Meta-Principles

Design Thinking

Creative
Problem
Solving

Rational
Problem
Solving

1. define the problem

2. elaborate the solution space

4. select optimal solution

3. compare points in the solution space

Design Thinking

Creative
Problem
Solving

Rational
Problem
Solving

1. define the problem

2. elaborate the solution space

4. select optimal solution

3. compare points in the solution space

Rational Problem Solving

Design Thinking

Creative
Problem
Solving

Churchman, Rittel, Webber

Simon

Advertising
Counter
Culture
Product
Design
Disruptive Innovation

Steps and Loops

  • Invest in problem definition
  • Expand solution space
  • Prototype and iterate

Conventional Design Process

  1. Accept the problem
  2. Empathy: users' experience
  3. Extract insights
  4. "How Might We..." questions
  5. Ideate
  6. Select & Prototype
  7. Iterate
  1. Accept problem & solution direction
  2. Work toward problem & solution & stakeholder insights
  3. "How Might We..." questions
  4. Ideate
  5. Intentionally Prototype
  6. Pitch/Catch/Iterate

Solution

Workshop
Process

"How Might We..." Questions

Title Text

"HMW..." Questions

...make AI fair?

...test whether consumer behavior responds to a rating scale?

...acquire cough syrup sales data?

Iteration (and prototyping)

Heidegger(?): Existence is a dialog with the world and the nobler activity is to listen.

What can we build as a proof of concept prototype to find out whether our idea is even real?

What can we build that will allow us to gauge cultural and political reactions to our idea?

What can we build to help decide between forks in the road that we know are coming?

What can we build to align our team so we know we are all on the proverbial same page?

Intentional Prototyping

Divergent & Convergent Thinking

Divergent & Convergent Thinking

Kickoff

PreWorkshop

Day 1

Day 2

Pitch/Catch/Iterate

Welcome

THIS

Team/Problem

Stakeholders

Next Time

stakeholder

empathy

mindset
stretch

team

PreWorkshop

Day 1

Day 2

Pitch/Catch/Iterate

Kickoff

Welcome

THIS

Team/Problem

Stakeholders

Next Time

Kickoff

PreWorkshop

Day 1

Day 2

Pitch/Catch/Iterate

Welcome

THIS

Team/Problem

Stakeholders

Next Time

Five Problems, Five Teams

01

02

03

04

05

06

07

08

09

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

Climate

Climate

Climate

Immigration

Cities

Cities

Cities

BigPlex

Pandemic Platform

Global Certification Mark

Mo Fo

01

02

03

04

05

06

07

08

09

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

Climate

Climate

Climate

Immigration

Cities

Cities

Cities

BigPlex

Pandemic Platform

Global Certification Mark

Mo Fo

01

02

03

04

05

06

07

08

09

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

Climate

Climate

Climate

Immigration

Cities

Cities

Cities

BigPlex

Pandemic Platform

Global Certification Mark

Mo Fo

Notes

  1. Mention platforms
  2. Exit & go to K slide to describe exercise

Form the Band

Meet the Problem

Receive Mission

Discuss Mission

Stakeholder Inventory

Innovating AI Governance: From Principles to Practice

Stakeholder Inventory

Preworkshop Exercises

Governance Mindstretch

Stakeholder Empathy Mapping

The "Fuzzy Front End"

01

02

03

04

05

06

07

08

09

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

Climate

Climate

Climate

Immigration

Cities

Cities

Cities

BigPlex

Pandemic Platform

Global Certification Mark

Mo Fo

We are HERE

01

02

03

04

05

06

07

08

09

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

FORM THE BAND

01

02

03

04

05

06

07

08

09

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

Climate

Climate

Climate

Immigration

Cities

Cities

Cities

BigPlex

Pandemic Platform

Global Certification Mark

Mo Fo

Recap & Next Instructions

01

02

03

04

05

06

07

08

09

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

Climate

Climate

Climate

Immigration

Cities

Cities

Cities

BigPlex

Pandemic Platform

Global Certification Mark

Mo Fo

Recap & Next Instructions

01

02

03

04

05

06

07

08

09

10

11

12

13

14

15

16

17

18

19

20

21

22

23

24

25

26

27

28

29

30

ORGANIZATIONAL EMPATHY PT I

Human Centered Design

Empathy

is a verb

Text

Insights

Classic Insights

People don’t want
quarter-inch
drill bits.
They want quarter-inch holes.

Process

Observations

Insights

PoV Statements

HMW Questions

Ideas

Prototypes

Insight
Formulae

PoV Templates

HMW
Generators

Ideation Techniques

Intentional Prototyping

Process

Observations

Insights

PoV Statements

HMW Questions

Ideas

Prototypes

Insight
Formulae

PoV Templates

HMW
Generators

Ideation Techniques

Intentional Prototyping

Process

Observations

Insights

PoV Statements

HMW Questions

Ideas

Prototypes

Insight
Formulae

PoV Templates

HMW
Generators

Ideation Techniques

Intentional Prototyping

Process

Observations

Insights

PoV Statements

HMW Questions

Ideas

Prototypes

Insight
Formulae

PoV Templates

HMW
Generators

Ideation Techniques

Intentional Prototyping


so many principles
 

vigilant activist orgs look for (ab)use cases

corporate defs of "fairness" fall flat

"fairness" means different things

nobody has a clue as to what "quality" means in AI/ML

"fairness" is political & legal, not technical concept

four separate problems here: metric, business case, technology, connections 

status quo means/ underlying ends
wrong analogy; not adult:child::big:small
limiting reactant X doesn't scale
why, why, because, because? intervene upstream
counter intuitive priority; customer need inversion

Process

Observations

Insights

PoV Statements

HMW Questions

Ideas

Prototypes

Insight
Formulae

PoV Templates

HMW
Generators

Ideation Techniques

Intentional Prototyping


so many principles
 

vigilant activist orgs look for (ab)use cases

corporate defs of "fairness" fall flat

"fairness" means different things

nobody has a clue as to what "quality" means in AI/ML

"fairness" is political & legal, not technical concept

four separate problems here: metric, business case, technology, connections 

status quo means/ underlying ends
wrong analogy; not adult:child::big:small
limiting reactant X doesn't scale
why, why, because, because? intervene upstream
counter intuitive priority; customer need inversion

Process

Observations

Insights

PoV Statements

HMW Questions

Ideas

Prototypes

Insight
Formulae

PoV Templates

HMW
Generators

Ideation Techniques

Intentional Prototyping

nobody has a clue as to what "quality" means in AI/ML

"fairness" is political & legal, not technical concept

four separate problems here: metric, business case, technology, connections 

Process

Observations

Insights

PoV Statements

HMW Questions

Ideas

Prototypes

Insight
Formulae

PoV Templates

HMW
Generators

Ideation Techniques

Intentional Prototyping

startup building ML to validate models is struggling to find customers who understand value

Upper mgt don't get why outside entity is needed: "Our engineers can do this."

procurement cannot persuade legal this cert mark will suffice for its due diligence around AI/ML product

An AI company won't sign up to use certification until it's peers do; neither will they.

nobody has a clue as to what "quality" means in AI/ML

"fairness" is political & legal, not technical concept

four separate problems here: metric, business case, technology, connections 

X needs a Y in order to Z
A(n) X working on Y is struggling to Z
X won't Y because Z
X has negative feeling Y about/because of Z

Process

Observations

Insights

PoV Statements

HMW Questions

Ideas

Prototypes

Insight
Formulae

PoV Templates

HMW
Generators

Ideation Techniques

Intentional Prototyping

startup building ML to validate models is struggling to find customers who understand value

Upper mgt don't get why outside entity is needed: "Our engineers can do this."

procurement cannot persuade legal this cert mark will suffice for its due diligence around AI/ML product

An AI company won't sign up to use certification until it's peers do; neither will they.

nobody has a clue as to what "quality" means in AI/ML

"fairness" is political & legal, not technical concept

four separate problems here: metric, business case, technology, connections 

X needs a Y in order to Z
A(n) X working on Y is struggling to Z
X won't Y because Z
X has negative feeling Y about/because of Z

Process

Observations

Insights

PoV Statements

HMW Questions

Ideas

Prototypes

Insight
Formulae

PoV Templates

HMW
Generators

Ideation Techniques

Intentional Prototyping

startup building ML to validate models is struggling to find customers who understand value

Upper mgt don't get why outside entity is needed: "Our engineers can do this."

procurement cannot persuade legal this cert mark will suffice for its due diligence around AI/ML product

An AI company won't sign up to use certification until it's peers do; neither will they.

Amp up the good
Create an analogy
Play against the challenge
Explore the opposite
Break POV into pieces
ID unexpected resources
Remove the bad
Question an assumption
Challenge status quo
Go after adjectives

Process

Observations

Insights

PoV Statements

HMW Questions

Ideas

Prototypes

Insight
Formulae

PoV Templates

HMW
Generators

Ideation Techniques

Intentional Prototyping

HMW start with small consortium to skirt collective action problem

HMW use legal's due diligence protocol to inform cert and validation process?

Amp up the good
Create an analogy
Play against the challenge
Explore the opposite
Break POV into pieces
ID unexpected resources
Remove the bad
Question an assumption
Challenge status quo
Go after adjectives

startup building ML to validate models is struggling to find customers who understand value

Upper mgt don't get why outside entity is needed: "Our engineers can do this."

procurement cannot persuade legal this cert mark will suffice for its due diligence around AI/ML product

An AI company won't sign up to use certification until it's peers do; neither will they.

HMW demonstrate dollars and cents value to funders, partners, clients?

Start with Observations

STARTING POINT

How might we create an entity that could deploy a globally recognized framework that validates and certifies AI tools and technologies as responsible, trustworthy, ethical and fair?

Too big, too complex, too gnarly.

Our brains start firing.

In all different directions.

CHALLENGE: How might we create an entity that could deploy a globally recognized framework that validates and certifies AI tools and technologies as responsible, trustworthy, ethical and fair?

Overall Process

How might we create an entity that could deploy a globally recognized framework that validates and certifies AI tools and technologies as responsible, trustworthy, ethical and fair?

Focused
How Might We Questions

HMW...

HMW use legal's due diligence protocol to inform the validation and certification process?

HMW...

Big, complex, unwieldy HOW MIGHT WE... design challenge

Prototype to find out if this is a thing - is there anything resembling a "process" out there? Could we adapt it? Would there be any attraction to, say, legal or procurement?

Prototype
Motivation

Prototype
Storyboard

How might we create an entity that could deploy a globally recognized framework that validates and certifies AI tools and technologies as responsible, trustworthy, ethical and fair?

Focused
How Might We Questions

Big, complex,
unwieldy HMW...
design challenge

Problem

Analogy

Stakeholders

Solution

aha

Observations

P.o.V.

Insights

Almost nobody has a clue as to what quality means in AI/ML products

aha

aha

HMW use legal's due diligence protocol to inform the validation and certification process?

A government procurement officer cannot persuade their legal team that cert mark would suffice for due diligence with respect to a vendor's product.

HMW empower procurement to be more persuasive?

HMW change the rules so that cert mark is what is required?

p.o.v.

p.o.v.

How might we create an entity that could deploy a globally recognized framework that validates and certifies AI tools and technologies as responsible, trustworthy, ethical and fair?

Focused
How Might We Questions

Big, complex,
unwieldy HMW...
design challenge

P.o.V.

HMW use legal's due diligence protocol to inform the validation and certification process?

A government procurement officer cannot persuade their legal team that cert mark would suffice for due diligence with respect to a vendor's product.

HMW empower procurement to be more persuasive?

HMW change the rules so that cert mark is what is required?

p.o.v.

p.o.v.

Ideas

How might we create an entity that could deploy a globally recognized framework that validates and certifies AI tools and technologies as responsible, trustworthy, ethical and fair?

Focused
HMWQ

Big, complex,
unwieldy HMW...
design challenge

P.o.V.

HMW use legal's due diligence protocol to inform the validation and certification process?

A government procurement officer cannot persuade their legal team that cert mark would suffice for due diligence with respect to a vendor's product.

Ideas Clustered

How might we create an entity that could deploy a globally recognized framework that validates and certifies AI tools and technologies as responsible, trustworthy, ethical and fair?

Focused
HMWQ

Big, complex,
unwieldy HMW...
design challenge

P.o.V.

HMW use legal's due diligence protocol to inform the validation and certification process?

A government procurement officer cannot persuade their legal team that cert mark would suffice for due diligence with respect to a vendor's product.

Ideas

Prototyping Imperative

Prototyping Imperative

Prototyping Storyboard

How might we create an entity that could deploy a globally recognized framework that validates and certifies AI tools and technologies as responsible, trustworthy, ethical and fair?

Big, complex,
unwieldy HMW...
design challenge

Prototyping Imperative

Prototyping Storyboard

What is a "solutions workshop"?

By Dan Ryan

What is a "solutions workshop"?

  • 235