Consequences of an Insightful Algorithm

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C O N S E Q U E N C E S O F A N I N S I G H T F U L A L G O R I T H M

C A R I N A C . Z O N A

@ C C Z O N A

infertility

sex shaming

miscarriage

bullying

stalking

segregation

racial profiling

white supremacy

holocaust

CONTENT WARNING

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ALGORITHMS IMPOSE CONSEQUENCES ON PEOPLE ALL THE TIME

@ C C Z O N A

PATTERNS OF INSTRUCTIONS, ARTICULATED IN CODE OR FORMULAS

A L G O R I T H M S O F C O M P U T E R S C I E N C E & M AT H E M AT I C S

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STEP-BY-STEP SET OF OPERATIONS FOR PREDICTABLY ARRIVING AT AN OUTCOME

A L G O R I T H M

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PATTERNS OF INSTRUCTIONS, ARTICULATED IN WAYS SUCH AS…

A L G O R I T H M S I N O R D I N A R Y L I F E

@ C C Z O N A

Ch 12, sl st to join. Rnd 1: ch 3, 17 dc. Rnd 2: ch 3, 1 dc, ch 4,

skip 1 dc, *2 dc, ch 4, skip 1 dc*, repeat 5 times, sl st. Rnd 3:

ch 3, 2 dc, ch 5, skip 2 ch and 1 dc, *3 dc, ch 5, skip 2 ch and

1 dc*, repeat 5 times, sl st. Rnd 4: ch 3, 3 dc, ch 5, skip 3 ch

and 1 dc, *4 dc, ch 5, skip 3 ch and 1 dc*, repeat 5 times, sl

st. Rnd 5: ch 3, 4 dc, ch 6, skip 3 ch and 1 dc, *5 dc, ch 6, skip

3 ch and 1 dc*, repeat 5 times, sl st. Rnd 6: ch 3, 6 dc, ch 6,

skip 3 ch and 1 dc, *7 dc, ch 6, skip 3 ch and 1 dc*, repeat 5

times, sl st. Rnd 7: ch 3, 8 dc, ch 6, skip 3 ch and 1 dc, *9 dc,

ch 6, skip 3 ch and 1 dc*, repeat 5 times, sl st. Rnd 8: ch 3, 10

dc, ch 6, skip 3 ch and 1 dc, *11 dc, ch 6, skip 3 ch and 1 dc*,

repeat 5 times, sl st .Rnd 9: ch 3, 12 dc, ch 6, skip 3 ch and 1

dc, *13 dc, ch 6, skip 3 ch and 1 dc*, repeat 5 times, sl st.

Rnd 10: ch 3, 14 dc, ch 7, skip 3 ch and 1 dc, *15 dc, ch 7,

skip 3 ch and 1 dc*, repeat 5 times, sl st. Rnd 11: ch 3, 16 dc,

ch 7, skip 4 ch and 1 dc, *17 dc, ch 7, skip 4 ch and 1 dc*,

repeat 5 times, sl st. Rnd 12: ch 3, 18 dc, ch 8, skip 4 ch and 1

dc, *19 dc, ch 8, skip 4 ch and 1 dc*, repeat 5 times, sl st.

Rnd 13: ch 3, 20 dc, ch 8, skip 5 ch and 1 dc, *21 dc, ch 8,

skip 5 ch and 1 dc*, repeat 5 times, sl st. Rnd 14: ch 3, 16 dc,

ch 8, skip 3 dc and 2 ch, 1 dc, ch 8, skip 1 dc, *17 dc, ch 8,

skip 3 dc and 2 ch, 1 dc, ch 8, skip 1 dc,* repeat 5 times, sl st.

@ C C Z O N A

The exhaustive rendering of our conscious and unconscious patterns into data sets and algorithms.

P R E D I C T I V E A N A LY T I C S

—Charles Duhigg

@ C C Z O N A

ALGORITHMS FOR FAST, TRAINABLE , ARTIFICIAL NEURAL NETWORKS

D E E P L E A R N I N G

@ C C Z O N A

INPUT Words, images, sounds, objects, or abstract concepts

EXECUTION Run a series of functions repeatedly in a black box

OUTPUT Prediction of properties useful for drawing intuitions about similar future inputs

@ C C Z O N A

ARTIFICIAL NEURAL NETWORK'S AUTOMATED DISCOVERY OF PATTERNS WITHIN A TRAINING DATASET

APPLIES DISCOVERIES TO DRAW INTUITIONS ABOUT FUTURE DATA

D E E P L E A R N I N G

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– P e t e Wa r d e n

" T H I N K O F T H E M A S D E C I S I O N - M A K I N G B L A C K B O X E S . "

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Medical Diagnosing Pharmaceutical Development Emotion Detection Predictive Text Face Identification Voice-Activated Commands Fraud Detection Sentiment Analysis Translating Text Video Content Recognition Self-Driving Cars

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Ad Targeting Behavioral Prediction Recommendation Systems Image Classification Face Recognition

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#DataMiningFail

Algorithmic Profiling

De-Anonymization Black Box Disparate

ImpactConsentIssues

ReplicatesBias

Personally Identifiable Info

Human Complexity Fail

Unproven Methods

Inadvertent Algorithmic

CrueltyUncritical

AssumptionsFalse

NeutralityHigh Risk

Consequences Deception Filtering

Moved Fast, Broke Things

Invasion Of Privacy No Recourse Creepy

StalkeryMessing With

Not How Valid Research Works

DataInsecurity

Accurate, But Not Right Shaming Diversity

#DataMiningFail

🔵 🔵

🔵🔵

🔵 🔵🔵🔵🔵

🔵Algorithmic Profiling

ImpactConsentIssues

ReplicatesBias

Unproven Methods

CrueltyUncritical

AssumptionsFalse

NeutralityHigh Risk

DataInsecurity

TA R G E T

@ C C Z O N A

“IF WE WANTED TO FIGURE OUTIF A CUSTOMER IS PREGNANT,

EVEN IF SHE DIDN’T WANT US TO KNOW,

CAN YOU DO THAT? ”

@ C C Z O N A

‟As long as a pregnant woman thinks she hasn’t been spied on… as long as we don’t spook her, it works.”

🔵 🔵 🔵 🔵🔵

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ImpactConsentIssues

ReplicatesBias

Unproven Methods

CrueltyUncritical

AssumptionsFalse

NeutralityHigh Risk

DataInsecurity

S H U T T E R F LY

@ C C Z O N A

‟Thanks, Shutterfly, for the congratulations on my 'new bundle of joy'. I'm horribly infertile,

but hey, I'm adopting

a kitten, so...”

@ C C Z O N A

‟ I l o s t a b a b y i n N o v e m b e r w h o w o u l d h a v e b e e n d u e t h i s w e e k .

I t w a s l i k e h i t t i n g a w a l l

a l l o v e r a g a i n … ˮ

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‟T H E I N T E N T O F T H E E M A I L WA S T O TA R G E T

C U S T O M E R S W H O H AV E R E C E N T LY

H A D A B A B Y "

@ C C Z O N A

‟You start imagining who they'll become and dreaming of hopes for their future. You start making plans. And then they're gone.

It's a lonely experience."

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🔵🔵🔵

ImpactConsentIssues

ReplicatesBias

Unproven Methods

CrueltyUncritical

AssumptionsFalse

NeutralityHigh Risk

DataInsecurity

FA C E B O O K Y E A R I N R E V I E W

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The result of code that works in the overwhelming majority of cases but doesn’t take other use cases into account.

I N A D V E R T E N T A L G O R I T H M I C C R U E LT Y

—Eric Meyer

@ C C Z O N A

‟ I N C R E A S E A W A R E N E S S O F A N D C O N S I D E R AT I O N F O R T H E FA I L U R E M O D E S T H E E D G E C A S E S T H E W O R S T- C A S E S C E N A R I O S

– E r i c M e y e r

@ C C Z O N A

BE HUMBLE. WE CANNOT INTUIT INNER STATE, EMOTIONS, PRIVATE SUBJECTIVITY

— C a r i n a C . Z o n a

@ C C Z O N A

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🔵🔵

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ImpactConsentIssues

ReplicatesBias

Unproven Methods

CrueltyUncritical

AssumptionsFalse

NeutralityHigh Risk

DataInsecurity

F I T B I T

@ C C Z O N A

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🔵🔵🔵🔵🔵

ImpactConsentIssues

ReplicatesBias

Unproven Methods

CrueltyUncritical

AssumptionsFalse

NeutralityHigh Risk

DataInsecurity

U B E R

@ C C Z O N A

🔵🔵🔵

ImpactConsentIssues

ReplicatesBias

Unproven Methods

CrueltyUncritical

AssumptionsFalse

NeutralityHigh Risk

DataInsecurity

G O O G L E A D W O R D S

@ C C Z O N A

Claire

Katelyn

Madeline

Aaliyah

Diamond

Latanya

Shanice

Connor

Dustin

Tanner

Darnell

DeShawn

Marquis

Terrell

Trevon

Tyrone

PLACEHOLDER@ C C Z O N A

PLACEHOLDER

PLACEHOLDERA BLACK IDENTIFYING NAME WAS

25% MORE LIKELYTO RESULT IN AN AD THAT I M P L I E D A N

ARREST RECORD

@ C C Z O N A

🔵 🔵

🔵🔵

ImpactConsentIssues

ReplicatesBias

Unproven Methods

CrueltyUncritical

AssumptionsFalse

NeutralityHigh Risk

DataInsecurity

@ C C Z O N A

Classifying people as “similar”, where careless prompts create scenarios harder to control and prepare for.

A C C I D E N TA L A L G O R I T H M I C R U N - I N S

—adapted from Joanne McNeil

@ C C Z O N A

A L G O R I T H M I C H U B R I S

@ C C Z O N A

"If you are stalked by a former coworker, Twitter may reinforce this connection, algorithmically boxing you into a past while you are trying to move on.

Your affinity score with your harasser will grow higher with every person who follows this person at Twitter’s recommendation."

T W I T T E R - W H O T O F O L L O W

🔵🔵🔵

🔵 🔵

🔵 🔵🔵

ImpactConsentIssues

ReplicatesBias

Unproven Methods

CrueltyUncritical

AssumptionsFalse

NeutralityHigh Risk

DataInsecurity

@ C C Z O N A

I P H O T O FA C E D E T E C T I O N

@ C C Z O N A

M I C R O S O F T H O W - O L D . N E T

@ C C Z O N A

F L I C K R M A G I C V I E W A U T O - TA G G I N G

@ C C Z O N A

F L I C K R M A G I C V I E W A U T O - TA G G I N G

@ C C Z O N A

G O O G L E P H O T O S A U T O - C AT E G O R I Z I N G

@ C C Z O N A

S H I R L E Y C A R D S

@ C C Z O N A

The tools used to make film,

b y M o n t r é A z a M i s s o u r i

@ C C Z O N A

notare the science of it,

raciallyneutral

S H I R L E Y C A R D S

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🔵🔵🔵🔵🔵

🔵🔵🔵 🔵

ImpactConsentIssues

ReplicatesBias

Unproven Methods

CrueltyUncritical

AssumptionsFalse

NeutralityHigh Risk

DataInsecurity

@ C C Z O N A

A L G O R I T H M S A R E G AT E K E E P E R S

Credit Housing Jobs

@ C C Z O N A

IF A MACHINE IS EXPECTED TO BE

INFALLIBLE IT CANNOT ALSO BE INTELLIGENT

— A l a n Tu r i n g

@ C C Z O N A

!=I R L F R I E N D S FA C E B O O K F R I E N D S

@ C C Z O N A

F R I E N D S

F I N A N C E S

— i l l u s t r a t i o n b y S u s i e C a g l e

@ C C Z O N A

UNDERLYING ASSUMPTIONS INFLUENCE OUTCOMES AND CONSEQUENCES

@ C C Z O N A

— H e n r y D a v i d T h o r e a u

“ T H E U N I V E R S E I S W I D E R T H A N O U R V I E W S O F I T ”

@ C C Z O N A

OUR INDUSTRY IS IN AN ARMS RACE

@ C C Z O N A

Amazon

Dropbox

Facebook

Flickr

Google

Microsoft

Netflix

Pandora

PayPal

Snapchat

Spotify

Twitter

@ C C Z O N A

MORE PRECISEIN CORRECTNESS MORE

DAMAGING IN WRONGNESS

@ C C Z O N A

FLIPPING THE PARADIGM

@ C C Z O N A

CONSIDER DECISIONS' POTENTIAL IMPACTS

F L I P P I N G T H E PA R A D I G M

A C M C o d e o f E t h i c s

@ C C Z O N A

•PROJECT THE LIKELIHOOD OF CONSEQUENCES

•MINIMIZE NEGATIVE CONSEQUENCES

E VA L U AT E P O T E N T I A L I M PA C T S

@ C C Z O N A

FIRST DO NO HARM

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BE HONEST BE TRUSTWORTHY

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BUILD IN RECOURSE

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FULLY DISCLOSE LIMITATIONS.

CALL ATTENTION TO SIGNS OF RISK OF HARM.

F L I P P I N G T H E PA R A D I G M 3

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BE VISIONARY ABOUT COUNTERING BIAS

@ C C Z O N A

ANTICIPATE DIVERSE WAYS TO SCREW UP

E M PAT H E T I C C O D E R S 5

@ C C Z O N A

W E M U S T H A V E D E C I S I O N - M A K I N G A U T H O R I T Y I N T H E H A N D S O F

H I G H LY D I V E R S E

T E A M S

@ C C Z O N A

The point of culture fit is to avoid disruption of groupthink

@ C C Z O N A

Unidimensional variety is not diversity

@ C C Z O N A

AUDIT OUTCOMES CONSTANTLY

@ C C Z O N A

AUDIT OUTCOMES

@ C C Z O N A

1,852318

" C A R E F U L LY C H O S E N T R A I L S A C R O S S T H E W E B I N S U C H A WAY T H AT A N A D - TA R G E T I N G N E T W O R K W I L L I N F E R C E R TA I N I N T E R E S T S O R A C T I V I T I E S . "

A D F I S H E R

@ C C Z O N A

C R O W D K N O W L E D G E > = B L A C K B O X I N T U I T I O N S 7C R O W D S O U R C E A L L T H E T H I N G S

@ C C Z O N A

Party.

@ C C Z O N A

CULTIVATE INFORMED CONSENT

@ C C Z O N A

"LIST THINGS YOU DON'T WANT TO THINK ABOUT"

@ C C Z O N A

Opt-Out Opt-InBlock FollowIgnore ViewFilter Select

Disable Enable

S T O P T H E A L G O R I T H M B E T H E A L G O R I T H M

@ C C Z O N A

"Why not let Twitter users select the people they recommend you follow? We already have Follow Friday." —adapted from Joanne McNeil & Melissa Gira Grant

@ C C Z O N A

Would you like special coupons for pregnancy & infant care?

@ C C Z O N A

COMMIT TO DATA TRANSPARENCY.

COMMIT TO ALGORITHMIC TRANSPARENCY.

@ C C Z O N A

We DO NOT BUILD here without understanding CONSEQUENCES TO OTHERS

@ C C Z O N A

PROFESSIONALS APPLY EXPERTISE & JUDGEMENT

HOW TO SOLVE PROBLEMS

ImpactConsentIssues

ReplicatesBias

Unproven Methods

CrueltyUncritical

AssumptionsFalse

NeutralityHigh Risk

DataInsecurity

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@ C C Z O N A

R E F U S E T O P L AY A L O N G .

@ C C Z O N A

T H A N K Y O U .

@ C C Z O N A

Code Newbies http://www.codenewbie.org/podcast/algorithms

“CONSEQUENCES OF AN INSIGHTFUL ALGORITHM”

CONTINUES AT:

Ruby Rogues https://devchat.tv/ruby-rogues/278-rr-consequences-of-an-insightful-algorithm-with-carina-c-zona

@ C C Z O N A

CASE STUDIESFitBit: http://thenextweb.com/insider/2011/07/03/fitbit-users-are-inadvertently-sharing-details-of-their-sex-lives-with-the-world/

Uber: http://www.forbes.com/sites/kashmirhill/2014/10/03/god-view-uber-allegedly-stalked-users-for-party-goers-viewing-pleasure/ & http://valleywag.gawker.com/uber-allegedly-used-god-view-to-stalk-vip-users-as-a-1642197313 & http://www.forbes.com/sites/chanellebessette/2014/11/25/does-uber-even-deserve-our-trust/ & http://www.wired.com/2011/04/app-stars-uber/ & http://motherboard.vice.com/read/ubers-god-view-was-once-available-to-drivers & http://motherboard.vice.com/read/ubers-god-view-was-once-available-to-drivers

OkCupid: http://blog.okcupid.com/index.php/the-best-questions-for-first-dates/

Affirm, et al: http://recode.net/2015/05/06/max-levchins-affirm-raises-275-million-to-make-loans/ & http://time.com/3430817/paypal-levchin-affirm-lending/ & http://www.nytimes.com/2015/01/19/technology/banking-start-ups-adopt-new-tools-for-lending.html & http://www.spiegel.de/international/germany/critique-of-german-credit-agency-plan-to-mine-facebook-for-data-a-837713.html & http://www.motherjones.com/politics/2013/09/lenders-vet-borrowers-social-media-facebook

Shutterfly: http://jezebel.com/shutterfly-thinks-you-just-had-a-baby-1576261631 & http://www.adweek.com/adfreak/shutterfly-congratulates-thousands-women-babies-they-didnt-have-157675

Zuckerberg on miscarriage: https://www.facebook.com/photo.php?fbid=10102276573729791

Target: http://www.nytimes.com/2012/02/19/magazine/shopping-habits.html

Facebook Year in Review: http://meyerweb.com/eric/thoughts/2014/12/24/inadvertent-algorithmic-cruelty/ & http://www.theguardian.com/technology/2014/dec/29/facebook-apologises-over-cruel-year-in-review-clips

Google AdWords: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2208240 & http://freakonomics.com/2013/04/08/how-much-does-your-name-matter-full-transcript/

Flickr: http://www.theguardian.com/technology/2015/may/20/flickr-complaints-offensive-auto-tagging-photos

Google Photos: https://twitter.com/jackyalcine/status/615329515909156865 & https://www.yahoo.com/tech/google-photos-mislabels-two-black-americans-as-122793782784.html

Twitter Who To Follow & Last.fm Similar Listeners: https://medium.com/message/harassed-by-algorithms-f2b8229488df

Chicken Breast: http://metro.co.uk/2016/01/27/this-chicken-breast-has-a-surprisingly-healthy-heart-rate-considering-its-dead-5647836/ & https://www.youtube.com/watch?v=7rO5knyjDR0

LinkedIn http://www.slate.com/articles/technology/technology/2016/05/linkedin_called_me_a_white_supremacist.html

Shirley Cards, Race, & Film Emulsion: http://priceonomics.com/how-photography-was-optimized-for-white-skin/ & http://www.buzzfeed.com/syreetamcfadden/teaching-the-camera-to-see-my-skin#.wkv3Jmd8O

@ C C Z O N A

RESOURCES• Association for Computing Machinery Code

of Ethics http://www.acm.org/about/code-of-ethics

• The 10 Commandments of Egoless Programming http://www.techrepublic.com/article/the-ten-commandments-of-egoless-programming-6353837/

• Disparate Impact Analysis is Key to Ensuring Fairness in the Age of the Algorithm http://www.datainnovation.org/2015/01/disparate-impact-analysis-is-key-to-ensuring-fairness-in-the-age-of-the-algorithm/

• On Algorithmic Fairness, Discrimination and Disparate impact. http://fairness.haverford.edu/

• Big Data's Disparate Impact http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2477899

• Algorithmic Accountability & Transparency http://www.nickdiakopoulos.com/projects/algorithmic-accountability-reporting/

• What is Deep Learning and why should you care? http://radar.oreilly.com/2014/07/what-is-deep-learning-and-why-should-you-care.html

• Facebook Research | Machine Learning https://research.facebook.com/machinelearning

@ C C Z O N A

LAW, GOVERNANCE, & POLICYMAKING• AI is Setting Up the Internet for a Huge

Class with Europe (2016) https://www.wired.com/2016/07/artificial-intelligence-setting-internet-huge-clash-europe/

• California Law Review (2016): Big Data's Disparate Impact http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2477899

• United States Federal Trade Commission Report (2016) Big Data: A Tool for Inclusion or Exclusion? https://www.ftc.gov/system/files/documents/reports/big-data-tool-inclusion-or-exclusion-understanding-issues/160106big-data-rpt.pdf

• White House Big Data Privacy Report (2014) https://www.whitehouse.gov/sites/default/files/docs/big_data_privacy_report_may_1_2014.pdf

• Algorithmic Transparency and Platform Loyalty or Fairness in the French Digital Republic Bill (2016) http://blogs.lse.ac.uk/mediapolicyproject/2016/04/22/algorithmic-transparency-and-platform-loyalty-or-fairness-in-the-french-digital-republic-bill/

• European Data Protection Supervisor Opinion (2015): Meeting the Challenges of Big Data https://secure.edps.europa.eu/EDPSWEB/webdav/site/mySite/shared/Documents/Consultation/Opinions/2015/15-11-19_Big_Data_EN.pdf

@ C C Z O N A

FLICKR CREATIVE COMMONSCookie face: https://www.flickr.com/photos/amayu/4462907505/in/pool-977532@N24/

Eye shadows: https://www.flickr.com/photos/niallb/5300259686/

Colored pencils: https://www.flickr.com/photos/jenson-lee/6315443914/

Audit keyboard: https://www.flickr.com/photos/jakerust/16811751576/

Crystal balls: https://www.flickr.com/photos/cmogle/3348401259/

Eye: https://www.flickr.com/photos/weirdcolor/3312989961/

Sea Wall: https://www.flickr.com/photos/christing/1447039348/

Door: https://www.flickr.com/photos/chrisschoenbohm/14181173109/

WTF Was This WTF Was That by Birger King: https://www.flickr.com/photos/birgerking/7080728907/

Tasveer ByTaru: https://www.flickr.com/photos/tasveerbytaru/19547308031/sizes/h/

Boxing day: https://www.flickr.com/photos/erix/6306715646/

Printing machine by Teddy Kwok: https://www.flickr.com/photos/bblkwok/8247948713/

Caduceus: https://www.flickr.com/photos/spirit-fire/4832779325/

wocintech (microsoft) - 69 by #wocintech: https://www.flickr.com/photos/wocintechchat/25926648871/in/album-72157664006621903/

ねこ　-ちゃーちゃん- by atacamaki: https://www.flickr.com/photos/mikey-a-tucker/14792307898/

Driving home by Christian Weidinger: https://www.flickr.com/photos/ch-weidinger/13888995404/

Server graphs by Aaron Parecki: https://www.flickr.com/photos/aaronpk/5967579738/

On the Banks of Loch Linnhe by Henry Hemming: https://www.flickr.com/photos/henry_hemming/8280971407/

Scaffolding by ajjyt: https://www.flickr.com/photos/54588550@N08/9387947434/

Monarchial Scrutiny by Joel Penner: https://www.flickr.com/photos/featheredtar/2949748121/

Canadian Money $100 Dollar Bill Macro of Robert Borden by Wilson Hui: https://www.flickr.com/photos/wilsonhui/6604606217/

The grindstone by Kathryn Decker: https://www.flickr.com/photos/waponigirl/5621810815/

"img049" by Steve Walker Photography: https://www.flickr.com/photos/stover98074/11361095594/

Street Passion by Johnny Silvercloud: https://www.flickr.com/photos/johnnysilvercloud/15718876258/

Buttons: https://www.flickr.com/photos/48462557@N00/3616793654/

@ C C Z O N A

NOUN PROJECT CREATIVE COMMONSBusinesspeople by Honnos Bondor https://thenounproject.com/term/businesspeople/17542/

Send by David Papworth https://thenounproject.com/term/send/135469/

Users by Lorena Salagre https://thenounproject.com/term/users/32253/

Friend by Megan Mitchel https://thenounproject.com/term/friend/6808/

Woman (1) by Thomas Helbig https://thenounproject.com/term/woman/120381/

Woman (2) by Thomas Helbig https://thenounproject.com/term/woman/120380/

Couple by Shankar Narayan https://thenounproject.com/term/couple/1014/

Couple by Pasquale Cavorsi https://thenounproject.com/term/couple/33095/

Check mark by Kris Brauer https://thenounproject.com/term/check-mark/192830/

Job Seeker by Stijn Elskens https://thenounproject.com/term/job-seeker/226871/

Credit Card by Oliviu Stoianhttps://thenounproject.com/term/credit-card/269411/

Single House by Aaron K. Kimhttps://thenounproject.com/term/single-house/123924/

Downloads by Icons8 https://thenounproject.com/term/downloads/61761/

Id Card (1) by Boudewijn Mijnlieffhttps://thenounproject.com/term/id-card/203566/

Id Card (2) by Boudewijn Mijnlieffhttps://thenounproject.com/term/id-card/203578/

Cancel by Kris Brauerhttps://thenounproject.com/term/cancel/182501/

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ADDITIONAL IMAGESRecipe cards: Olivia Juice & Co. http://olivejuiceco.typepad.com/my_weblog/2006/04/easter_recap_an.html

Target circulars: http://flyers.smartcanucks.ca/uploads/pages/26431/target-canada-weekly-flyer-july-11-to-1713.jpg

Crochet pattern & shawl: http://www.abc-knitting-patterns.com/1129.html

Space Invaders: http://www.caffination.com/backchannel/shooting-for-the-high-score-3942/

Facebook b/w logo sketch: http://connect-communicate-change.com/wp-content/uploads/2011/11/facebook-logo-square-webtreatsetc.png

Stephen Hawking by CERN/Lawrent Egli: https://www.facebook.com/stephenhawking/photos/710802829006817

Jonathon Arrears by Susie Cagle: https://twitter.com/susie_c/status/631619118865604610/photo/1

Twitter keyboard: http://www.npr.org/sections/itsallpolitics/2012/05/04/152028258/navigating-politics-on-twitter-some-npr-followfriday-suggestions

Tesla's Autopilot System MobilEye http://wccftech.com/tesla-autopilot-story-in-depth-technology/

Uber home screen https://www.supermoney.com/2016/05/5-reasons-uber-can-risky-choice-drivers-passengers/

Walden Pond by Walden Pond State Reservation https://waldenpondstatereservation.wordpress.com/

The Force is Strong With This One by Mark Zuckerberg https://www.facebook.com/zuck/posts/10102531565693851

Bubble-sort with Hungarian ("Csángó") folk dance https://www.youtube.com/watch?v=lyZQPjUT5B4

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T H E E T H I C S & R E S P O N S I B I L I T I E S O F O P E N S O U R C E I O T

https://www.youtube.com/watch?v=7rO5knyjDR0

Emily Gorcenski

@emilygorcenski

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I M A G E U N D E R S TA N D I N G : D E E P L E A R N I N G W I T H C O N V O L U T I O N A L N E U R A L N E T S

http://www.slideshare.net/roelofp/python-for-image-understanding-deep-learning-with-convolutional-neural-nets

Roelof Pieters@graphific

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T H E E T H I C S O F B E I N G A P R O G R A M M E R

https://youtu.be/DB7ei5W1eRQ

Kate Heddleston

@heddle317

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A H I P P O C R AT I C O AT H F O R D ATA S C I E N C E

http://www.slideshare.net/roelofp/a-hippocratic-oath-for-data-science

Roelof Pieters@graphific

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D E E P L E A R N I N G : I N T E L L I G E N C E F R O M B I G D ATA

https://www.youtube.com/watch?v=czLI3oLDe8M

Adam Berenzweig

@madadam

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A L G O R I T H M I C A C C O U N TA B I L I T Y W O R K S H O P

https://vimeo.com/125622175

Columbia Journalism School

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M A R I / O

https://youtu.be/qv6UVOQ0F44

Seth Bling

@sethbling

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Noah Kantrowitz

Heidi Waterhouse

VM Brasseur

Yoz Grahame

Mike Foley

Estelle Weyl

Chris Hausler

Scott Triglia

Russell Keith-Magee

Tim Bell

We So Crafty

THANK YOU ♥

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BONUS!

“Eleven” by Burnistoun (Robert Florence & Iain Connell)

https://www.youtube.com/watch?v=NMS2VnDveP8

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