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PRODUCT INCLUSION
RACHIDA AMSAGHROU
UXPA – 03 JUNE 2020
AGENDA
 Overview
 Product inclusion?
 Definitions
 Evolution over the past 10 years
 Inclusive product development process
 How to practice product inclusion
 The Microsoft design toolkit
 A snapshot into product inclusion
 Dimensions of Product Inclusion
 Biases in AI
 Inclusive AI
 Accessibility
 Marketing
 Privacy and inclusion
 KeyTakeaways
 Keys to success
 What’s next?
 Resources
2
 What is product inclusion?
 Definitions
 Evolution over the past 10 years
 Inclusive product development process
 How to practice product inclusion
 The Microsoft design toolkit
 A snapshot into product inclusion
OVERVIEW
3
PRODUCT
INCLUSION?
 What: Applying an inclusive lens throughout the product
development process.
 Why: Help companies remain competitive and ensure they
are meeting customers’ needs.
 How: Address the diverse needs of current and future
users; build for everyone, with everyone; and constantly test
and improve for inclusion.
4
The practice of applying
an inclusive lens
throughout the entire
product design and
development process
Product
Inclusion
Product
Inclusion
A design methodology
that enables and draws
on the full range of
human diversity.
Inclusive
Design
Inclusive
Design
The qualities that make
an
experience open to all.
AccessibilityAccessibility
DEFINITIONS
5
EVOLUTION OVERTHE LAST 10YEARS
Adaptive
2020
T-Mobile introduces a $15 internet bundle in
response to rising socio-economic issues
Foundational
2016
Google Assistant is stress-tested to exclude
insensitive language (<0.0002%)
Reactive
2O11
Federal government replaces male dummies with
smaller females for airbag tests
6
Internal and
external
Consult
diversity
experts
Product
inclusion
hackathon &
sprint
sessions
Inclusive
market
research &
focus groups
IDEATION
USER
RESEARCH
& DESIGN
TESTINGMARKETING
INCLUSIVE PRODUCT DEVELOPMENT PROCESS
7
HOWTO PRACTICE PRODUCT INCLUSION
User
Impact
Prioritize user insights
Understand how the
product fits in the user’s life
Humanity
Build empathy and
compassion for people
Stakeholder interviews and
user experience
Ask who, what, where, when,
and why?
Recognition
Acknowledge that exclusion
exists
Design products with rather
than for excluded users
Embrace design as a remedy
for societal mismatches
Empathy Exclusion
8
• RECOGNIZE EXCLUSION
• LEARN FROM DIVERSITY
• SOLVE FOR ONE, EXTEND TO MANY
9
Source: https://www.microsoft.com/design/inclusive/
THE MICROSOFT DESIGNTOOLKIT
GOOGLE ASSISTANT:
A PRODUCT INCLUSION STORY
10
INTEGRATING INCLUSION:
GOOGLE CAMERA
Source: https://www.youtube.com/user/acceleratewithgoogle
A SNAPSHOT INTO PRODUCT INCLUSION
https://www.youtube.com/watch?v=9cTtzIAfnFo&thttps://www.youtube.com/watch?v=DQ4Rugg1c44&t
 Biases in AI
 Inclusive AI
 Accessibility
 Marketing
 Privacy and Inclusion
DIMENSIONS OF
PRODUCT
INCLUSION
11
• Data used to train machine learning
models doesn’t represent the
diversity of the customer base
Dataset
• Data used to train a model
reinforces and multiplies a cultural
bias
Association
• Automated decisions override social
and cultural considerationsAutomation
• Humans tamper with AI and create
biased resultsInteraction
• Oversimplified personalization
makes biased assumptions for a
group or an individual
Confirmation
Source: https://www.microsoft.com/design/inclusive/
BIASES IN ARTIFICIAL INTELLIGENCE
12
INCLUSIVE ARTIFICIAL INTELLIGENCE
AI makes
assumptions
based on learned
behaviors
Build a
relationship
between
users and
technology
Human-centered
design
AI mirrors a
narrow and
privileged vision
of society
Build inclusive
teams
Foster Empathy
Unintentional &
alarming
outcomes
Empower users
to continually
train AI
Build trust
TECHNOLOGY
DIVERSITY
BIAS
ACTION
13
SOLUTIONPROBLEM
ACCESSIBILITY
Source: https://www.microsoft.com/design/inclusive/
14
TOOLS
• Recognize exclusion
• Solve for one, extend to
many
METHOD
Include and learn from people
with a range of perspectives
MINDSET
Understand why and how
people are excluded
MARKETING
An internal campaign to remind Google marketers that creating inclusive work requires breaking down stereotypes
15
PRIVACY AND INCLUSION
16
Underrepresented
groups
• Excluded from
datasets
• Don’t trust the system
Privacy-by-design
• Reactive
• Poor privacy controls
• Convoluted user agreements
Users reluctant
to provide data
Learned bias
continues
Datasets
uniforms
Remedies
• Regular consent
touchpoints
• More autonomy
• Compensation
for data
 Keys to success
 What’s next?
 Resources
KEYTAKEWAYS
17
KEYSTO SUCCESS
Inclusion-by-
design alleviates
biases
 Identify issues early on
 Anticipate future
problems
 Make informed decisions
Break down bias
to:
Identify where
and how
exclusion
infects the
system
18
WHAT’S NEXT
64% of leaders see the business value of product
inclusion, and yet, progress is slow overall.
1. How long does it take to get an inclusive product to
market?
2. What is getting in the way of those who have not
yet implemented their product inclusion strategies?
3. Can we design personalized content and
experiences protecting the users’ data?
19
RESOURCES
 https://www.microsoft.com/design/inclusive/
 https://katholmesdesign.com/
 https://accelerate.withgoogle.com/
20
“THERE IS DANGER IN A SINGLE STORY”
CHIMANADA ADICHIE
THANKYOU
RACHIDA AMSAGHROU
RAMSAGHROU@GMAIL.COM
RACHIDA.AMSAGHROU.COM
21

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Product Inclusion for More Inclusive Designs

  • 2. AGENDA  Overview  Product inclusion?  Definitions  Evolution over the past 10 years  Inclusive product development process  How to practice product inclusion  The Microsoft design toolkit  A snapshot into product inclusion  Dimensions of Product Inclusion  Biases in AI  Inclusive AI  Accessibility  Marketing  Privacy and inclusion  KeyTakeaways  Keys to success  What’s next?  Resources 2
  • 3.  What is product inclusion?  Definitions  Evolution over the past 10 years  Inclusive product development process  How to practice product inclusion  The Microsoft design toolkit  A snapshot into product inclusion OVERVIEW 3
  • 4. PRODUCT INCLUSION?  What: Applying an inclusive lens throughout the product development process.  Why: Help companies remain competitive and ensure they are meeting customers’ needs.  How: Address the diverse needs of current and future users; build for everyone, with everyone; and constantly test and improve for inclusion. 4
  • 5. The practice of applying an inclusive lens throughout the entire product design and development process Product Inclusion Product Inclusion A design methodology that enables and draws on the full range of human diversity. Inclusive Design Inclusive Design The qualities that make an experience open to all. AccessibilityAccessibility DEFINITIONS 5
  • 6. EVOLUTION OVERTHE LAST 10YEARS Adaptive 2020 T-Mobile introduces a $15 internet bundle in response to rising socio-economic issues Foundational 2016 Google Assistant is stress-tested to exclude insensitive language (<0.0002%) Reactive 2O11 Federal government replaces male dummies with smaller females for airbag tests 6
  • 7. Internal and external Consult diversity experts Product inclusion hackathon & sprint sessions Inclusive market research & focus groups IDEATION USER RESEARCH & DESIGN TESTINGMARKETING INCLUSIVE PRODUCT DEVELOPMENT PROCESS 7
  • 8. HOWTO PRACTICE PRODUCT INCLUSION User Impact Prioritize user insights Understand how the product fits in the user’s life Humanity Build empathy and compassion for people Stakeholder interviews and user experience Ask who, what, where, when, and why? Recognition Acknowledge that exclusion exists Design products with rather than for excluded users Embrace design as a remedy for societal mismatches Empathy Exclusion 8
  • 9. • RECOGNIZE EXCLUSION • LEARN FROM DIVERSITY • SOLVE FOR ONE, EXTEND TO MANY 9 Source: https://www.microsoft.com/design/inclusive/ THE MICROSOFT DESIGNTOOLKIT
  • 10. GOOGLE ASSISTANT: A PRODUCT INCLUSION STORY 10 INTEGRATING INCLUSION: GOOGLE CAMERA Source: https://www.youtube.com/user/acceleratewithgoogle A SNAPSHOT INTO PRODUCT INCLUSION https://www.youtube.com/watch?v=9cTtzIAfnFo&thttps://www.youtube.com/watch?v=DQ4Rugg1c44&t
  • 11.  Biases in AI  Inclusive AI  Accessibility  Marketing  Privacy and Inclusion DIMENSIONS OF PRODUCT INCLUSION 11
  • 12. • Data used to train machine learning models doesn’t represent the diversity of the customer base Dataset • Data used to train a model reinforces and multiplies a cultural bias Association • Automated decisions override social and cultural considerationsAutomation • Humans tamper with AI and create biased resultsInteraction • Oversimplified personalization makes biased assumptions for a group or an individual Confirmation Source: https://www.microsoft.com/design/inclusive/ BIASES IN ARTIFICIAL INTELLIGENCE 12
  • 13. INCLUSIVE ARTIFICIAL INTELLIGENCE AI makes assumptions based on learned behaviors Build a relationship between users and technology Human-centered design AI mirrors a narrow and privileged vision of society Build inclusive teams Foster Empathy Unintentional & alarming outcomes Empower users to continually train AI Build trust TECHNOLOGY DIVERSITY BIAS ACTION 13 SOLUTIONPROBLEM
  • 15. TOOLS • Recognize exclusion • Solve for one, extend to many METHOD Include and learn from people with a range of perspectives MINDSET Understand why and how people are excluded MARKETING An internal campaign to remind Google marketers that creating inclusive work requires breaking down stereotypes 15
  • 16. PRIVACY AND INCLUSION 16 Underrepresented groups • Excluded from datasets • Don’t trust the system Privacy-by-design • Reactive • Poor privacy controls • Convoluted user agreements Users reluctant to provide data Learned bias continues Datasets uniforms Remedies • Regular consent touchpoints • More autonomy • Compensation for data
  • 17.  Keys to success  What’s next?  Resources KEYTAKEWAYS 17
  • 18. KEYSTO SUCCESS Inclusion-by- design alleviates biases  Identify issues early on  Anticipate future problems  Make informed decisions Break down bias to: Identify where and how exclusion infects the system 18
  • 19. WHAT’S NEXT 64% of leaders see the business value of product inclusion, and yet, progress is slow overall. 1. How long does it take to get an inclusive product to market? 2. What is getting in the way of those who have not yet implemented their product inclusion strategies? 3. Can we design personalized content and experiences protecting the users’ data? 19
  • 21. “THERE IS DANGER IN A SINGLE STORY” CHIMANADA ADICHIE THANKYOU RACHIDA AMSAGHROU RAMSAGHROU@GMAIL.COM RACHIDA.AMSAGHROU.COM 21