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1
Ethics for UX Design
crash course
With Frank Spillers
CXO
Experience Dynamics
OPEN SOURCE: FEEL FREE TO SHARE AND PRESENT TO YOUR TEAM
2
UX & Ethics: what to tell your team1
2 How UX Designers can influence Ethics
3 New Habits: What Teams need to do for better
Ethics UX
Ethics for UX Design crash course
AGENDA:
As we move into a new AI-enabled world, the role and
decisions of User Experience designers become
increasingly important. User Experience Design is at a
crossroads with emerging technology, IT business
models, and societal trends and needs. Human-
centered Design and user advocacy are being
challenged by algorithm-driven and manipulative
interfaces (think social media) as well as business, and
technology models that clash with user control and civil
rights. New strategies are required for us to reduce bad,
unethical, and embarrassing user experiences.
In this webinar, we will explore what causes ethical
issues in UX, how to turn this around, and start
practicing 'UX with Ethics' in our day-to-day work. This
webinar aims to provide practical understanding, tips,
and techniques to help you educate your team (a copy
of the PPT will be made available) as well as to take a
more influential role in your organization or design
decision making role.
4 Q&A
3
Get the relationship right
Separate Humans from
Technology
4
Technology as an Extension
5
It’s all about the toys,
right?Or the features, or the implicit right-ness
of the proposed concept…
6
Subordinate Technology
Elevate the Human
7
UX seeks to subordinate
Technology (UI’s) to user
tasks/ goals/ needs
8
“There are no user
errors- only designer
errors”
There are no design
dilemmas- only ethical
dilemmas??
9
10
11
MOSTLY PROTECT
ADVOCATE
INCLUDE
CONSULT
ALIGN
PROTECT
12
UX & Ethics:what to tell your team
1
13
Do technology giants
now realize their
ethical
responsibilities?
• Yes
• No
• Still a Way to Go
Quiz:
14
Bloomberg 2018 (Sooner than you think poll)
15
In 2018, Twitter CEO Jack Dorsey tweeted:
“We have witnessed abuse, harassment, troll armies,
manipulation through bots and human-coordination,
misinformation campaigns, and increasingly divisive echo
chambers. We aren’t proud of how people have taken advantage
of our service, or our inability to address it fast enough.”
16
How it happens
(ethical dilemma)
17
Usually motivated
by:
 An aggressive Growth Strategy
 Sales & Marketing strategy
 Attempt to grow Market Share
 Product Manager doing their job
 Maximizing out “Engagement”
18
Aspiration vs Reality
Justin Rosenstein, who led the team that built the Facebook like button,
says the team was motivated by a desire to “spread love and positivity in
the world.”
People within the technology industry have leaned into such techno-
utopianism for decades, underplaying how maximizing profits is a major
motivating factor for them.
https://www.metamute.org/editorial/articles/californian-ideology
19
Keep Scrolling…
 How it’s displayed
 How it behaves (Social Media hacks
behavior inducing accidental
extended time on site/app)
 Left to right
20
1
Quiz
How would you approach
a Notifications
experience knowing
that Notifications are
a) addictive;
b) ‘noise’,
c) overwhelming?
21
Technology in general, and AI in particular, is not value-
neutral. The design decisions that are taken while
developing AI impart certain values to AI whether we want
them to or not. The key is to bridge the gap between high-
level principles and design of AI systems.
Steven Umbrello, Managing director for the Institute for Ethics and Emerging Technology
22
Assumption
Speculated usage
Untested
Bellybutton Design
23
24
• “I am right, you (users) are wrong”
• Familiarity- I know this to be true so it must be
• Comforts: mine are everyone’s
• Rules- I know them and if you haven’t learned them too bad
• “We know best, it’s our job to know”
How bad design
happens
25
So, how are we
deciding?
 What’s important to our users?
 What’s MVP?
 Whether we’re creating problems
downstream?
26
27
Garbage in- Garbage out
(applies to algorithms
too)
Examples:
• Racist (MSFT twitter bot made hate speech)
• Sexist (Apple Credit card favors men; Amazon hiring bot favored men)
• Transphobic (forms question: ‘male or female?’)
28
Stress test
 Does your algorithm build on and reinforce only popular
preferences?
 Is your AI system able to evolve dynamically as your customers
changes over time?
 Is your AI system helping your customers to have a more diverse and
inclusive view of the world?
Confirmation Bias- ‘proof’ confirms your beliefs
AI Tips from Microsoft “In Pursuit of Inclusive AI”
29
Including
Business Models
 Ethics will challenge your
business model
 Marketing attitudes will be
challenged
30
For my Ethics in UX
webinar…
-
This start-up took webinar registration,
“promoted it” by passing registration through
his site (capture user details), then kicked user
out to my Eventzilla page, where the webinar
was sold out.
-
Growth Hacking anyone???
31
How UX Designers can
influence Ethics
2
32
Who owns this
problem?
Product Managers
UX Designers
Devs
Business Teams
Architecture decisions
Research Teams
Executives
Boards
Business models
Politicians
Regulators
Lawyers
33
1) Inevitability (it’s coming so)
2) Neutrality (tech will find the solution so)
3) Utopia- technolust (it’s already here so)
4)Trust in algorithms (tech will find the solution;Tech is unbiased; this
computer said— the data said so…)
5) People will adapt (build and they will adopt it so)
Avoid the 5 Naiveties
34
35
‘gender signaling’
36
“beautiful women”
37
“beautiful men”
38
‘Agency by
Design’
(Proposed by Christopher Wylie)
Like Privacy by Design…
 Platforms adopt Choice-enhancing Design
 Ban Dark Patterns
 Benefit to user = to feature
 Prohibit ‘undue influence’ (eg long term
addiction)
 Avoid harm principle
 Abusability audits
39
Rules
 Contain:
 Decisions
 Choices
 Logic (system requirements)
 Intent (business requirements)
 Most rules victimize the user by lack
of transparency (at the UI level).
 Rule-interpreting is the enemy of
good UX.
40
Control
 How supported are user goals and
ability to define or change goals?
 Do users really have control? (eg Does
Cancel really cancel?)
 How easy is it to manage data
transparency? (eg Facebook privacy
settings took 100 iterations to get it right)
41
Power
 Do we take power away from a user
or community with this product or
service feature or behavior?
 Are we giving power (and is it
wanted?)
 Are we reducing power, and how?
 Redefine ENGAGEMENT
42
Changes required
 BELIEFS- Justice, Inclusion,Wellness
 APPROACHES- Human Centered/ Community centered
design
 PRACTICES- Disclose how made, how assess /test
 EVALUATE- Add rigor, scrutiny, integrity
Human centered design ethics
43
Ethical UX
Designo Were users included? (Field Study, UserTesting)
o Who are stakeholders?
o Was consent given?
o Is this morally right or wrong?
o Do business interests prevent us from committing to
ethical UX?
o What are benefits?
o What are downsides?
o What are legal, PR, political repercussions?
o What are cultural upsides/ downsides (rules, behaviors,
trends)?
o What does this look like in 10 yrs time?
Users= Stakeholders or
Affected communities,
persons (identities) or
environment…
44
New Habits: What Teams need to do
for better Ethics UX
3
45
QUIZ
What Worried Americans
Most About Driverless
Vehicles?
a) Safety
b)Cost
c) Hacking
d)Boredom
2017 survey of US public
46
Who are we impacting?
 User
 Community
 Historical, Cultural, Political
 Environmental
47
QUIZ: What country gave all
rivers legal rights (of a
person)?
 Thailand
 Bangladesh
 New Zealand
 Canada
Kazi Salahuddin Razu/NurPhoto via Getty Images
48
And at what cost?
 Individual or community Rights
 Harm identity or wellbeing
 Harm environment
 Legal rights
 PR, Brand
49
Red Team
o (Ethics audit)
o 1 day
o Rip apart other team’s design
“Ethical UX group Heuristic Evaluation”
Blue Team
50
“What could possibly go
wrong?”
Bring user
concerns raised in
user interviews
and observations
(Ethnography)…
• Look at legal and past
precedents…
• Look at activist opinions
(eg privacy).
• Look at other countries or
regions (eg EU or Finland).
• Historical factors
• Cultural factors
Exploring Harm
51
Ethical Areas to
checkUse a PESTLE Analysis: (also use in Localization projects)
PESTLE is a mnemonic which in its expanded form denotes P for Political, E for Economic, S for Social,
T for Technological, L for Legal and E for Environmental.
• What is the political situation of the country and how can it affect the industry?
• What are the prevalent economic factors?
• How much importance does culture have in the market and what are its determinants?
• What technological innovations are likely to pop up and affect the market structure?
• Are there any current legislations that regulate the industry or can there be any change in the legislations
for the industry?
• What are the environmental concerns for the industry?
See https://pestleanalysis.com/what-is-pestle-analysis/
52
There are hundreds of examples of people finding ways
to use technology to harm themselves or other people,
and the response from so many tech CEOs has been,
'We didn't expect our technology to be used this way’
We need to try to think about the ways things can go
wrong. Not just in ways that harm us as a company, but
in ways that harm those using our platforms, and other
groups, and society… we need Abusability Testing
Former Chief Technologist of the FTC
Ashkan Soltani (2019 in Wired)
“
“
2020
53
Abusability
testing
 Abuse stress testing
 2 weeks
 Deep analysis of harm potential
“Ethical UX analysis & evaluation”
54
How to Test?
First, Ask
 Ask extra critical folks in your org
 Ask users
 Ask SME’s
 Ask lawyers
 Ask intersectional UX experts
55
Intersectional
means
Your UX person cares about users +
 Racial Justice
 Gender equality
 LGBTQI+ rights
 Environmental Justice
 Accessibility
 Sociability
USERS RIGHTS+
56
How to Test?
Next,
Scan
 Scan ethical violations
 Map issues against ethical goals
 Evaluate algorithms (stress test)
57
o Societal level (legal, cultural)
o Business level (team, board)
o Product- Service level ($)
o UI level (motivation)
o Algorithm level (AI)
58
Finally—and this is perhaps the most difficult
part—we work with ourselves. If we think
maybe we understand how other people tick,
we’re damn sure we know how we tick. It’s
hard to come to grips with the fact that we
don’t actually understand how we make our
own decisions. Our own biases are the thorn-
iest to spot and combat, and the most likely
to cause trouble for the people we design
with or for.
(2020 Thomas)
59
LEARN from the Giants
(mistakes)
(and Silicon Valley and Start Up
culture)
60
READ
61
62
Just credit, Frank Spillers
CEO@ Experience Dynamics
I want you to give this
presentation to YOUR TEAM
That’s Right
63
Author: Frank Spillers
Frank Spillers is the founder of Experience
Dynamics, a leading UX consulting firm
with Fortune 500 clients around the world.
For over 20 years, Frank has been an
internationally respected speaker, author,
Senior UX practitioner and UX Master
Trainer. He is a world expert in improving
the design and user experience of websites,
web applications, VR/AR and mobile apps
and services.
Teaching UX at Interaction Design
Foundation and at UXInnerCircle.com
Chief Experience Officer @ Experience Dynamics
OPEN SOURCE: FEEL FREE TO SHARE AND PRESENT TO YOUR TEAM
Any and all images are copyright their respective owners.
64
RECORDING OF ORIGINAL
WEBINAR JAN 2021
AVAILABLE HERE:
PowerPoint File
AVAILABLE HERE: http://alturl.com/2gu4w
https://youtu.be/EJcF75fOBYU
If you need to cite this for a
class:
Spillers, Frank (2021). “Ethics for UX Crash Course”. Accessed on {data}
http://alturl.com/2gu4w

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Ethics for ux crash course

  • 1. 1 Ethics for UX Design crash course With Frank Spillers CXO Experience Dynamics OPEN SOURCE: FEEL FREE TO SHARE AND PRESENT TO YOUR TEAM
  • 2. 2 UX & Ethics: what to tell your team1 2 How UX Designers can influence Ethics 3 New Habits: What Teams need to do for better Ethics UX Ethics for UX Design crash course AGENDA: As we move into a new AI-enabled world, the role and decisions of User Experience designers become increasingly important. User Experience Design is at a crossroads with emerging technology, IT business models, and societal trends and needs. Human- centered Design and user advocacy are being challenged by algorithm-driven and manipulative interfaces (think social media) as well as business, and technology models that clash with user control and civil rights. New strategies are required for us to reduce bad, unethical, and embarrassing user experiences. In this webinar, we will explore what causes ethical issues in UX, how to turn this around, and start practicing 'UX with Ethics' in our day-to-day work. This webinar aims to provide practical understanding, tips, and techniques to help you educate your team (a copy of the PPT will be made available) as well as to take a more influential role in your organization or design decision making role. 4 Q&A
  • 3. 3 Get the relationship right Separate Humans from Technology
  • 4. 4 Technology as an Extension
  • 5. 5 It’s all about the toys, right?Or the features, or the implicit right-ness of the proposed concept…
  • 7. 7 UX seeks to subordinate Technology (UI’s) to user tasks/ goals/ needs
  • 8. 8 “There are no user errors- only designer errors” There are no design dilemmas- only ethical dilemmas??
  • 9. 9
  • 10. 10
  • 12. 12 UX & Ethics:what to tell your team 1
  • 13. 13 Do technology giants now realize their ethical responsibilities? • Yes • No • Still a Way to Go Quiz:
  • 14. 14 Bloomberg 2018 (Sooner than you think poll)
  • 15. 15 In 2018, Twitter CEO Jack Dorsey tweeted: “We have witnessed abuse, harassment, troll armies, manipulation through bots and human-coordination, misinformation campaigns, and increasingly divisive echo chambers. We aren’t proud of how people have taken advantage of our service, or our inability to address it fast enough.”
  • 17. 17 Usually motivated by:  An aggressive Growth Strategy  Sales & Marketing strategy  Attempt to grow Market Share  Product Manager doing their job  Maximizing out “Engagement”
  • 18. 18 Aspiration vs Reality Justin Rosenstein, who led the team that built the Facebook like button, says the team was motivated by a desire to “spread love and positivity in the world.” People within the technology industry have leaned into such techno- utopianism for decades, underplaying how maximizing profits is a major motivating factor for them. https://www.metamute.org/editorial/articles/californian-ideology
  • 19. 19 Keep Scrolling…  How it’s displayed  How it behaves (Social Media hacks behavior inducing accidental extended time on site/app)  Left to right
  • 20. 20 1 Quiz How would you approach a Notifications experience knowing that Notifications are a) addictive; b) ‘noise’, c) overwhelming?
  • 21. 21 Technology in general, and AI in particular, is not value- neutral. The design decisions that are taken while developing AI impart certain values to AI whether we want them to or not. The key is to bridge the gap between high- level principles and design of AI systems. Steven Umbrello, Managing director for the Institute for Ethics and Emerging Technology
  • 23. 23
  • 24. 24 • “I am right, you (users) are wrong” • Familiarity- I know this to be true so it must be • Comforts: mine are everyone’s • Rules- I know them and if you haven’t learned them too bad • “We know best, it’s our job to know” How bad design happens
  • 25. 25 So, how are we deciding?  What’s important to our users?  What’s MVP?  Whether we’re creating problems downstream?
  • 26. 26
  • 27. 27 Garbage in- Garbage out (applies to algorithms too) Examples: • Racist (MSFT twitter bot made hate speech) • Sexist (Apple Credit card favors men; Amazon hiring bot favored men) • Transphobic (forms question: ‘male or female?’)
  • 28. 28 Stress test  Does your algorithm build on and reinforce only popular preferences?  Is your AI system able to evolve dynamically as your customers changes over time?  Is your AI system helping your customers to have a more diverse and inclusive view of the world? Confirmation Bias- ‘proof’ confirms your beliefs AI Tips from Microsoft “In Pursuit of Inclusive AI”
  • 29. 29 Including Business Models  Ethics will challenge your business model  Marketing attitudes will be challenged
  • 30. 30 For my Ethics in UX webinar… - This start-up took webinar registration, “promoted it” by passing registration through his site (capture user details), then kicked user out to my Eventzilla page, where the webinar was sold out. - Growth Hacking anyone???
  • 31. 31 How UX Designers can influence Ethics 2
  • 32. 32 Who owns this problem? Product Managers UX Designers Devs Business Teams Architecture decisions Research Teams Executives Boards Business models Politicians Regulators Lawyers
  • 33. 33 1) Inevitability (it’s coming so) 2) Neutrality (tech will find the solution so) 3) Utopia- technolust (it’s already here so) 4)Trust in algorithms (tech will find the solution;Tech is unbiased; this computer said— the data said so…) 5) People will adapt (build and they will adopt it so) Avoid the 5 Naiveties
  • 34. 34
  • 38. 38 ‘Agency by Design’ (Proposed by Christopher Wylie) Like Privacy by Design…  Platforms adopt Choice-enhancing Design  Ban Dark Patterns  Benefit to user = to feature  Prohibit ‘undue influence’ (eg long term addiction)  Avoid harm principle  Abusability audits
  • 39. 39 Rules  Contain:  Decisions  Choices  Logic (system requirements)  Intent (business requirements)  Most rules victimize the user by lack of transparency (at the UI level).  Rule-interpreting is the enemy of good UX.
  • 40. 40 Control  How supported are user goals and ability to define or change goals?  Do users really have control? (eg Does Cancel really cancel?)  How easy is it to manage data transparency? (eg Facebook privacy settings took 100 iterations to get it right)
  • 41. 41 Power  Do we take power away from a user or community with this product or service feature or behavior?  Are we giving power (and is it wanted?)  Are we reducing power, and how?  Redefine ENGAGEMENT
  • 42. 42 Changes required  BELIEFS- Justice, Inclusion,Wellness  APPROACHES- Human Centered/ Community centered design  PRACTICES- Disclose how made, how assess /test  EVALUATE- Add rigor, scrutiny, integrity Human centered design ethics
  • 43. 43 Ethical UX Designo Were users included? (Field Study, UserTesting) o Who are stakeholders? o Was consent given? o Is this morally right or wrong? o Do business interests prevent us from committing to ethical UX? o What are benefits? o What are downsides? o What are legal, PR, political repercussions? o What are cultural upsides/ downsides (rules, behaviors, trends)? o What does this look like in 10 yrs time? Users= Stakeholders or Affected communities, persons (identities) or environment…
  • 44. 44 New Habits: What Teams need to do for better Ethics UX 3
  • 45. 45 QUIZ What Worried Americans Most About Driverless Vehicles? a) Safety b)Cost c) Hacking d)Boredom 2017 survey of US public
  • 46. 46 Who are we impacting?  User  Community  Historical, Cultural, Political  Environmental
  • 47. 47 QUIZ: What country gave all rivers legal rights (of a person)?  Thailand  Bangladesh  New Zealand  Canada Kazi Salahuddin Razu/NurPhoto via Getty Images
  • 48. 48 And at what cost?  Individual or community Rights  Harm identity or wellbeing  Harm environment  Legal rights  PR, Brand
  • 49. 49 Red Team o (Ethics audit) o 1 day o Rip apart other team’s design “Ethical UX group Heuristic Evaluation” Blue Team
  • 50. 50 “What could possibly go wrong?” Bring user concerns raised in user interviews and observations (Ethnography)… • Look at legal and past precedents… • Look at activist opinions (eg privacy). • Look at other countries or regions (eg EU or Finland). • Historical factors • Cultural factors Exploring Harm
  • 51. 51 Ethical Areas to checkUse a PESTLE Analysis: (also use in Localization projects) PESTLE is a mnemonic which in its expanded form denotes P for Political, E for Economic, S for Social, T for Technological, L for Legal and E for Environmental. • What is the political situation of the country and how can it affect the industry? • What are the prevalent economic factors? • How much importance does culture have in the market and what are its determinants? • What technological innovations are likely to pop up and affect the market structure? • Are there any current legislations that regulate the industry or can there be any change in the legislations for the industry? • What are the environmental concerns for the industry? See https://pestleanalysis.com/what-is-pestle-analysis/
  • 52. 52 There are hundreds of examples of people finding ways to use technology to harm themselves or other people, and the response from so many tech CEOs has been, 'We didn't expect our technology to be used this way’ We need to try to think about the ways things can go wrong. Not just in ways that harm us as a company, but in ways that harm those using our platforms, and other groups, and society… we need Abusability Testing Former Chief Technologist of the FTC Ashkan Soltani (2019 in Wired) “ “ 2020
  • 53. 53 Abusability testing  Abuse stress testing  2 weeks  Deep analysis of harm potential “Ethical UX analysis & evaluation”
  • 54. 54 How to Test? First, Ask  Ask extra critical folks in your org  Ask users  Ask SME’s  Ask lawyers  Ask intersectional UX experts
  • 55. 55 Intersectional means Your UX person cares about users +  Racial Justice  Gender equality  LGBTQI+ rights  Environmental Justice  Accessibility  Sociability USERS RIGHTS+
  • 56. 56 How to Test? Next, Scan  Scan ethical violations  Map issues against ethical goals  Evaluate algorithms (stress test)
  • 57. 57 o Societal level (legal, cultural) o Business level (team, board) o Product- Service level ($) o UI level (motivation) o Algorithm level (AI)
  • 58. 58 Finally—and this is perhaps the most difficult part—we work with ourselves. If we think maybe we understand how other people tick, we’re damn sure we know how we tick. It’s hard to come to grips with the fact that we don’t actually understand how we make our own decisions. Our own biases are the thorn- iest to spot and combat, and the most likely to cause trouble for the people we design with or for. (2020 Thomas)
  • 59. 59 LEARN from the Giants (mistakes) (and Silicon Valley and Start Up culture)
  • 61. 61
  • 62. 62 Just credit, Frank Spillers CEO@ Experience Dynamics I want you to give this presentation to YOUR TEAM That’s Right
  • 63. 63 Author: Frank Spillers Frank Spillers is the founder of Experience Dynamics, a leading UX consulting firm with Fortune 500 clients around the world. For over 20 years, Frank has been an internationally respected speaker, author, Senior UX practitioner and UX Master Trainer. He is a world expert in improving the design and user experience of websites, web applications, VR/AR and mobile apps and services. Teaching UX at Interaction Design Foundation and at UXInnerCircle.com Chief Experience Officer @ Experience Dynamics OPEN SOURCE: FEEL FREE TO SHARE AND PRESENT TO YOUR TEAM Any and all images are copyright their respective owners.
  • 64. 64 RECORDING OF ORIGINAL WEBINAR JAN 2021 AVAILABLE HERE: PowerPoint File AVAILABLE HERE: http://alturl.com/2gu4w https://youtu.be/EJcF75fOBYU If you need to cite this for a class: Spillers, Frank (2021). “Ethics for UX Crash Course”. Accessed on {data} http://alturl.com/2gu4w