Heartifacts 2020: When Data Reveals Humanity

Resources from my talk.

IBM AIF360 and Facial Recognition:
http://ibm.biz/codait-trusted-ai
https://www.ibm.com/blogs/policy/facial-recognition-sunset-racial-justice-reforms/

Criminal Recidivism Scoring
http://www.equivant.com/solutions/inmate-classification
https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing

Gender Shades/Algorithmic Justice League
http://gendershades.org/
http://www.aies-conference.com/wp-content/uploads/2019/01/AIES-19_paper_223.pdf
https://www.youtube.com/watch?v=Af2VmR-iGkY
https://www.ajlunited.org/fight
https://www.npr.org/2020/06/24/882683463/the-computer-got-it-wrong-how-facial-recognition-led-to-a-false-arrest-in-michig
https://www.nytimes.com/2020/08/03/podcasts/the-daily/algorithmic-justice-racism.html

Report on Assault Allegations at Chittenden County Regional Correctional Facility
https://www.sevendaysvt.com/vermont/guarded-secrets-claims-of-sexual-misconduct-drug-use-plague-vermonts-womens-prison/Content?oid=29082891
https://www.sevendaysvt.com/OffMessage/archives/2020/06/01/state-suspends-investigation-of-alleged-abuses-at-womens-prison

Get a better close up of the Stickey notes from the workshop I did at the prison:
https://twitter.com/Mo_Mack/status/1207412006153793537?s=20

Kim Crayton and #CauseAScene
Kim's Podcast: https://hashtagcauseascene.com/podcast/
Upcoming Antiracist Workshops:
https://beinganantiracist.com/

Somewhat Off topic - Did I get you interested in Quantum Computing at the end of my talk?
Learn more: https://qiskit.org/
How to Get a Job in Quantum Career Panel: https://www.youtube.com/watch?v=7dfw8k2p1to

Transcript

1. When Data Reveals Humanity
   Maureen McElaney, Program Manager
   IBM Quantum
   August 15, 2020
   

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2. About Me...
   2
   

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3. When Data Reveals
   Humanity
   Tweet at me! @Mo_Mack
   

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4. Content Warning!
   * False Imprisonment
   * Sexual Assault
   

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5. A cognitive bias is a systematic pattern of
   deviation from norm or rationality in
   judgment.
   People make decisions given their limited
   resources.
   Wilke A. and Mata R. (2012) “Cognitive Bias”, Clarkson University
   @Mo_Mack
   

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6. @Mo_Mack
   

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7. @Mo_Mack
   NorthPointe’s
   COMPAS
   Algorithm
   Image Credit: #WOCinTech
   

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8. Source: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
   May 2016 - Northpointe’s COMPAS Algorithm
   http://www.equivant.com/solutions/inmate-
   classification
   

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9. May 2016 - Northpointe’s COMPAS Algorithm
   http://www.equivant.com/solutions/inmate-
   classification
   Source: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
   

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10. May 2016 - Northpointe’s COMPAS Algorithm
    http://www.equivant.com/solutions/inmate-
    classification
    Source: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
    

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11. May 2016 - Northpointe’s COMPAS Algorithm
    http://www.equivant.com/solutions/inmate-
    classification
    Source: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
    

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12. Source: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
    Black Defendant’s Risk Scores
    

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13. Source: https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing
    White Defendant’s Risk Scores
    

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14. @Mo_Mack
    BLACK VS. WHITE
    DEFENDANTS
    ○ Falsely labeled black defendants as likely
    of future crime at twice the rate as white
    defendants.
    ○ White defendants mislabeled as low risk
    more than black defendants
    ○ Pegged Black defendants 77% more likely
    to be at risk of committing future violent
    crime
    

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15. @Mo_Mack
    Gender
    Shades Project
    February 2018
    Image Credit: #WOCinTech
    

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16. http://gendershades.org/
    

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17. “If we fail to make
    ethical and inclusive
    artificial intelligence
    we risk losing gains
    made in civil rights
    and gender equity
    under the guise of
    machine neutrality.”
    - Joy Boulamwini
    @jovialjoy
    

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18. http://www.aies-conference.com/wp-content/uploads/2019/01/AIES-19_paper_223.pdf
    

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19. @Mo_Mack
    https://www.youtube.com/watch?v=Af2VmR-iGkY
    

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20. @Mo_Mack
    

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22. codait.org
    Center for Open Source Data and AI Technologies
    CODAIT
    Open Source @ IBM
    

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23. AI Fairness
    360 Toolkit
    Open Source Library
    @Mo_Mack
    

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24. http://aif360.mybluemix.net/
    

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25. http://aif360.mybluemix.net/
    Demos
    

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26. @Mo_Mack
    

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27. @Mo_Mack 27
    

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30. @Mo_Mack Image Credit: #WOCinTech
    

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31. Edge cases are humans.
    Humans are edge cases.
    

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32. @KimCrayton1
    

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34. Photo by rawpixel on Unsplash
    No matter what it is our
    responsibility to build
    systems that are fair.
    

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35. Thank you!
    Follow me: @Mo_Mack
    

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