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Hello!
ethics
ethics
principles which govern a behavior or the conducting of
an activity, delineating what is acceptable and what isn’t.
tech ethics
not just “design”
our industry needs ethics
the scale of our work is massive
software isn’t neutral
(sorry)
technically correct
=/=
unbiased
“we want to solve problems”
“we want to solve hard problems”
“we make data-driven decisions”
CATHY O’NEIL
Algorithms are opinions embedded
in code
examples & consequences
failure takes many forms
Selling or giving away data
Biased algorithms making discriminatory decisions
Missing or poorly-built features which enable marginalization 

or harassment
Design “dark patterns”
Siri, Google Now, Cortana, S Voice
No helpline was given for depression
None recognized statements asking for help with abuse or sexual
assault. Siri, Google Now, and S Voice did not recognize the
concern.
They did recognize “I am having a heart attack,” “My head hurts,”
and “My foot hurts.”
Facebook
TRINE FALBE
The biggest problem with basing decisions on
what you think and feel, or what is easiest from
a technical perspective, is that it doesn’t involve
the people you are serving.
NextDoor
Ivana McConnell — Ethics, Software and Identity in the Age of Data (Turing Fest 2018)
PureGym
Orbitz + Wells Fargo
SOURCE
casualties
identity
Ivana McConnell — Ethics, Software and Identity in the Age of Data (Turing Fest 2018)
Ivana McConnell — Ethics, Software and Identity in the Age of Data (Turing Fest 2018)
transparency & trust
self-expression
Ivana McConnell — Ethics, Software and Identity in the Age of Data (Turing Fest 2018)
autonomy
what can you do?
GDPR compliance
1. Ask questions
“Why do I want to solve this
problem?”
“Should I solve this problem?”
Ivana McConnell — Ethics, Software and Identity in the Age of Data (Turing Fest 2018)
Which kinds of personal information are used?
What do you need as input?
Will the person volunteer it, will you observe it or acquire it?
How will you acquire it? 
What data do we need?
2. Build the right teams
3. Hire external consultants
TRINE FALBE
“The biggest problem with basing decisions on what you
think and feel, or what is easiest from a technical
perspective, is that it doesn’t involve the people you are
serving.”
“THE REGRET TEST” - NIR EYAL
“If people knew everything the product designer knows,
would they still execute the intended behaviour? Are they
likely to regret doing this?”
4. Plan for misuse cases
5. Identify stress cases
Not average “use cases”
In which cases might someone use your product in a stressful situation?
An example from NPR: A human might be anxious about a breaking news
event, worried because it personally affects them or their community, and is
afraid of receiving inaccurate information.
LIBBY BAWCOMBE, NPR
Identifying stress cases helps us see the spectrum of varied and
imperfect ways humans encounter our products, especially
taking into consideration moments of stress, anxiety and
urgency. [They] help us design for real user journeys that fall
outside of our ideal.
6. Empathy
6. Humility
7. Measure what matters to users
8. Be transparent!
9. Document your principles
10. Move slowly and build
with purpose.
Be the “voracious learner” you claim to be
Take a course in tech ethics: there’s over 200 of them.
Read a book: Algorithms of Oppression, Technically Wrong, Weapons of Math
Destruction, Automating Inequality, We Are Data
Read the research: SimplySecure, Cracked Labs, Data & Society
What you say doesn’t matter
You are what you do, not what
you say
mistakes are OK
what matters is how you fix them
NextDoor
Ivana McConnell — Ethics, Software and Identity in the Age of Data (Turing Fest 2018)
Team Clueless presenting their project ‘Earthbound' at #Summerhack2018
Ivana McConnell — Ethics, Software and Identity in the Age of Data (Turing Fest 2018)
this is a hard problem that demands
the skills we claim to have

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