AI and Ethics - We are the guardians of our future

Tess Ferrandez
Tess FerrandezPrincipal Software Engineer at Microsoft
WE ARE THE
GUARDIANS
OF OUR FUTURE
Tess Ferrandez
Photo: Porapak Apichodilok
Photo: Rosemary Ketchum
GANG CRIME
CLASSIFICATION
Partially Generative Neural Networks For Gang
Crime Classification With Partial Information
AI and Ethics - We are the guardians of our future
Photo: Perry Wilson
42
BABIES
28
ADMITTED
GANG MEMBERS
AI and Ethics - We are the guardians of our future
I’M JUST AN ENGINEER
ONCE THE ROCKETS ARE
UP
WHO CARES WHERE THEY
COME DOWN?
That is not my department
said Werner von Braun
Photo: Pixabay
I’M JUST AN ENGINEER
I’M NOT JUST AN ENGINEER
Photo: m01229
AI and Ethics - We are the guardians of our future
AI and Ethics - We are the guardians of our future
Photo: Canned Muffins
AI GAYDAR
PAPER
Deep Neural Networks Can Detect
Sexual Orientation from Faces
AI and Ethics - We are the guardians of our future
Photo: m01229
CRIMINAL
FACES
Automated Inference on Criminality
Using Face Images
AI and Ethics - We are the guardians of our future
CRIMINALS
VIOLENT
NON-CRIMINALS
GOVERNMENT
IDS
CORPORATE
HEADSHOTS
CRIMINAL NON-CRIMINAL
AI and Ethics - We are the guardians of our future
90%
86%
CAN WE DO IT?
SHOULD WE DO IT?
WE ARE CURRENTLY
IN THE BIGGEST
EXPERIMENT OF
CLASSIFICATION
IN HUMAN
HISTORY
Kate Crawford
Photo: from cover of Neue Illustrierte Zeitung on June 1, 1933
AI and Ethics - We are the guardians of our future
Photo: Bartek Wojtas
AI and Ethics - We are the guardians of our future
RESPONSIBILITY
LAUNDERING
Photo: Bartek Wojtas
Photo: Anton Mislawsky
ALGORITHMS
CAN’T BE RACIST
THEY’RE JUST MATH
Photo: Sam Galison
AI and Ethics - We are the guardians of our future
AI and Ethics - We are the guardians of our future
LABELED
FACES
IN THE WILD
77% MALE
80% WHITE
5% GEORGE W BUSH
AI and Ethics - We are the guardians of our future
AI and Ethics - We are the guardians of our future
JOY BOULAMWINI
GENDER SHADES
AI and Ethics - We are the guardians of our future
https://metro.co.uk/2018/07/06/weve-got-to-stop-the-met-polices-dangerously-authoritarian-facial-recognition-surveillance-7687833/
Photo: Anton Mislawsky
ALGORITHMS
CAN’T BE RACIST
THEY’RE JUST MATH
BIAS LAUNDERING
AI and Ethics - We are the guardians of our future
AI and Ethics - We are the guardians of our future
AI and Ethics - We are the guardians of our future
AI and Ethics - We are the guardians of our future
CONFIRMATION BUBBLE
AI and Ethics - We are the guardians of our future
Photo: Fadil Elmansour
AREA W. HIGH CRIME
SEND MORE POLICE
DO MORE ARRESTS
APPEARS TO HAVE MORE CRIME
SEND MORE POLICE
DO MORE ARRESTS
RUNAWAY FEEDBACK LOOP
AI and Ethics - We are the guardians of our future
AI and Ethics - We are the guardians of our future
BIAS IS AN
NP HARD PROBLEM
REMOVE GENDER
EQUAL OUTCOME
EQUAL OPPORTUNITY
SHOULD WE JUST GIVE
UP?
FAIR AND INCLUSIVE
TRANSPARENT
ACCOUNTABLE
SAFE AND RELIABLE
SECURITY AND PRIVACY
FAIR AND INCLUSIVE
TRANSPARENT
ACCOUNTABLE
SAFE AND RELIABLE
SECURITY AND PRIVACY
CONSIDER HOW
THE TECHNOLOGY
COULD BE USED
Photo: Pixabay
AI and Ethics - We are the guardians of our future
AI and Ethics - We are the guardians of our future
DATASHEETS
FOR DATASETS
EVALUATE FOR
FAIRNESS
TRANSPARENT DECISIONSTRANSPARENT DECISIONS
DETECT
VS PREDICT
COVERED FACES
ALONE
MEN 20-40 HOODIES
SHOPLIFTING POSES
MEN 20-40 HOODIESCOVERED FACES
ALONE
AI and Ethics - We are the guardians of our future
AI and Ethics - We are the guardians of our future
Photo: George Becker
DEALING WITH ERRORS
HUMAN
IN THE LOOP
AI and Ethics - We are the guardians of our future
WE’RE NOT JUST ENGINEERS
WE ARE THE
GUARDIANS
OF OUR FUTURE
Tess Ferrandez
Photo: Porapak Apichodilok
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AI and Ethics - We are the guardians of our future

Editor's Notes

  1. 23% no proof Living on a certain block can label you as Crip or Hells Angel Used to justify arrest, support maximum penalties No right to know if you’re on it, or to challenge it Used for background checks for jobs
  2. Quote from a song by Tom Lehrer
  3. The AI Gaydar paper Wang, Y., & Kosinski, M. (2018). Deep neural networks are more accurate than humans at detecting sexual orientation from facial images 50 clicks on facebook Used by Cambridge analytica 81% men, 74% women Data from dating websites Fluidity, what determines someones preferences? Bi? Bi-curious? outspoken Long tail, criminal in k countries, death penalty,
  4. Criminal or Not = 90%
  5. 1856 Images of Chinese Men 18-55, No facial hair or scars – faces cut out 730 -- Criminals – ID From Police Department 235 Violent Crimes, 536 Theft, Fraud, Corruption, Forgery, Racketeering 1126 -- Random images from internet – “corporate photos” as Non-Criminals note: 90%, SAME NETWORK ARCHITECTURE WAS ONLY ABLE TO PICK UP GENDER IN 86%
  6. Criminals Non-criminals
  7. Criminal or Not = 90%
  8. Gender w. AlexNet = 86%
  9. Harm can further be classified into five types: stereotyping, recognition, denigration, under-representation and ex-nomination. Classification is always a product of its time We are currently in the biggest experiment of classification in human history Kate Crawford
  10. Wouldn’t be able to tell one Wookie from the next Wife: Malla, Son: Lumpy
  11. Areas with more crime get more policing => more crimes reported => considered worse neighborhood, more policing
  12. Scrubbing to neutral What is neutral – gender, ethnicity, are people from lapponia counted as finnish, sexual orientation, political orientation? What about words like pregnancy, or color blindness? Queen? Who decides? Everyone is a majority somewhere and a minority somewhere else
  13. Quote from a song by Tom Lehrer