design is as good (or flawed) as the people who make it

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Design is as good ( or as flawed ) as the people who make it Kayla J Heffernan @kaylajheffernan

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Page 1: Design is as good (or flawed) as the people who make it

Design is as good (or as flawed) as the people who make it

Kayla J Heffernan

@kaylajheffernan

Page 2: Design is as good (or flawed) as the people who make it

You’re (probably) awesome…

@kaylajheffernan

Page 3: Design is as good (or flawed) as the people who make it

… but you’re (definitely) biased

@kaylajheffernan

Page 4: Design is as good (or flawed) as the people who make it

The Surgeon’s DilemmaA father and his son are involved in a horrific car crash and the man died at the scene. But when the child arrived at the hospital and was rushed into the operating theatre, the surgeon pulled away and said: “I can’t operate on this boy, he’s my son”.

Page 5: Design is as good (or flawed) as the people who make it

Because you’re (unconsciously) biased

@kaylajheffernan

Page 6: Design is as good (or flawed) as the people who make it

Unconscious (implicit) BiasBias which we are unaware of and happens subconsciously. It happens automatically, when our brains making quick judgments based past experiences, background, cultural environment & personal experiences.

Page 7: Design is as good (or flawed) as the people who make it

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1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 10 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 10 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 00 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 10 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 00 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 10 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 0 1 0 1 0 1 0 1 0 1 1 1 0 1 0 1 0 1 0 0 1 0 1 0 0 1 0 0 1 0 0 1 0 0 8 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 1 0 1 1 0 0 0 1 1 1 0 0 0 0 1 1 0 1 1 1 1 1 0 0 0 1 0 1 0 1 0 1 0 1 01 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1

11 million pieces. 40 bits

Page 8: Design is as good (or flawed) as the people who make it

System 1 & System 2 thinking• Quick• Automatic • Impulsive• Stereotypical

• Requires attention• Focus• Effort• Reasoning

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@kaylajheffernan

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@kaylajheffernan

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@kaylajheffernan

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Page 13: Design is as good (or flawed) as the people who make it

Affinity Bias

@kaylajheffernan

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Confirmation Bias

@kaylajheffernan

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Perception Bias

@kaylajheffernan

Page 16: Design is as good (or flawed) as the people who make it

Unconscious bias in practice1. The Gender Gap2. ‘White-named’ candidates receiving

more interviews than “black-named’1

3. Heidi / Howard unequal performance reviews2

4. 60% of US corporate CEOs >6’ (<15% of American men)31 Fryer Jr, R. G., & Levitt, S. D. (2004). The causes and consequences of distinctively black names. The Quarterly

Journal of Economics, 767-805.2 McGinn, Kathleen L., and Nicole Tempest. "Heidi Roizen." Harvard Business School Case 800-228, January 2000. (Revised April 2010.)3 Gladwell, M. (2007). Blink: The power of thinking without thinking. Back Bay Books.

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In the absence of detailed information, we al l work from assumptions about who the user is, what he or she does, and what type of system would meet his or her needs. Following these assumptions, we tend to design for ourselves, not for other people.

Richard Rubenstein & Harry Hersh

Page 18: Design is as good (or flawed) as the people who make it

• Male first design

• White first design

• Able first design

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@kaylajheffernan

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Airplane weight assumptions

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@kaylajheffernan

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@kaylajheffernan

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@kaylajheffernan

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@kaylajheffernan

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“Skin colour”

Page 28: Design is as good (or flawed) as the people who make it

People are biased. Design is not neutral. How tech is applied is inherently biased

@kaylajheffernan

Page 29: Design is as good (or flawed) as the people who make it

Stand up for a minute

Stand up for a minute

Stand up for a minute

Stand up for a minute

Stand up for a minute

Stand up for a minute

Stand up for a minute

@kaylajheffernan

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Page 31: Design is as good (or flawed) as the people who make it

Periods.

@kaylajheffernan

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@kaylajheffernan

Watch OS.

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@kaylajheffernan

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@kaylajheffernan

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@kaylajheffernan

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@kaylajheffernan

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@kaylajheffernan

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@kaylajheffernan

Page 44: Design is as good (or flawed) as the people who make it

Tumblr Founder Instagram Co-FoundersSnapchat Founder

@kaylajheffernan

Page 45: Design is as good (or flawed) as the people who make it

Can algorithms be racist, sexist, ageist etc.?

@kaylajheffernan

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@kaylajheffernan

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@kaylajheffernan

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@kaylajheffernan

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@kaylajheffernan

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@kaylajheffernan

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@kaylajheffernan

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Is this Google’s Fault?

@kaylajheffernan

Page 59: Design is as good (or flawed) as the people who make it

The other week I found out that my algorithm is a racist.

Nate Carter – MD eEffective

Page 60: Design is as good (or flawed) as the people who make it

(dis)ability• 1 in 6 - hearing loss• 30,000 - totally Deaf• 357,000 - Blind or Low Vision• 2 million -dyslexia • 2.6 million - physical disability

@kaylajheffernan

Page 61: Design is as good (or flawed) as the people who make it

Reducing biases in algorithms

@kaylajheffernan

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How to train your algorithm

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How to train your algorithm

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How to train your algorithm

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How to train your algorithm

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Test for emotion

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How to become a better designer, and make better designs.

@kaylajheffernan

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Our users aren’t us

You are not the user

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Talk to yourself

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Change system thinking

2 X 2

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Change system thinking

127 X 8

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Talk to strangers

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Turn off your senses, turn on empathy• Mute your voice• Block your ears• Close your eyes

@kaylajheffernan

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Call people out

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Surround yourself with different people

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Diverse Teams• Diverse recruitment panel • Diverse candidate pool• Avoid gendered language in job ads• Minority group CVs first

• Flexible hours / parental leave• Merit based pay & promotions• Affirmative action

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Evaluate & Educate yourself• Implicit Bias Test –

www.implicit.harvard.edu/• Re:Work from Google

www.rework.withgoogle.com • Facebook Managing Bias

www.managingbias.fb.com

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We have the ability as designers to make a difference on behalf of those who don't have the opportunity. They depend on us to help them

Robin Smail - @Robin2go

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Q&A

@kaylajheffernan