Presentation from the Data Products Meetup 6 - Classifications as Power Technologies prepared by a data science researcher Milagros Miceli.

2. • Criticality of AI-based Systems
at Weizenbaum Institute.
• Symbolic Power and ML.
• Datasets and Classifications.
• How do humans interact and
work with data?
Classifications as Power Technologies
Milagros Miceli
RESEARCH

3. WORKING
WITH DATA
Workshop on Human-Centered Study of Data Science Work Practices. ACM CHI Conference on Human Factors in Computing Systems. Glasgow, May 4, 2019.
Classifications as Power Technologies
Milagros Miceli

4. danah boyd and Kate Crawford. 2012. Critical Questions for Big Data. Provocations for a cultural, technological, and scholarly phenomenon.
Classifications as Power Technologies
Milagros Miceli
„a higher form of intelligence and
knowledge that can generate
insights that were previously
impossible, with the aura of truth,
objectivity, and accuracy.“
WORKING
WITH DATA

5. Michael Muller et al. 2019. How Data Science Workers Work with Data: Discovery, Capture, Curation, Design, Creation.
Classifications as Power Technologies
Milagros Miceli
WORKING
WITH DATA
creation
discovery capture
curation design
DATA

6. Classifications as Power Technologies
Milagros Miceli
SYMBOLIC
POWER

7. Classifications as Power Technologies
Milagros Miceli
TO
CLASSIFY

8. https://youtu.be/8sMOSMKNYKY
Classifications as Power Technologies
Milagros Miceli

9. Joy Buolamwini. 2017. Gender Shades: Intersectional Phenotypic and Demographic Evaluation of Face Datasets and Gender Classifiers.
https://www.youtube.com/watch?time_continue=29&v=KB9sI9rY3cA
Classifications as Power Technologies
Milagros Miceli
DATA
PRODUCTS’
POWER

10. Joy Buolamwini. 2017. Gender Shades: Intersectional Phenotypic and Demographic Evaluation of Face Datasets and Gender Classifiers.
Classifications as Power Technologies
Milagros Miceli
DATA
PRODUCTS’
POWER

11. Yilun Wang and Michael Kosinski. 2017. Deep neural networks are more accurate than humans at detecting sexual orientation from facial images.
Classifications as Power Technologies
Milagros Miceli
DATA
PRODUCTS’
POWER

12. • Laws and policies.
• Internal regulations within
companies.
• Technical tools.
• Team diversity.
• Reflect on our subjectivity.
• Reflect on interests we
serve.
Classifications as Power Technologies
Milagros Miceli
POSSIBLE
APPROACHES?

13. THANK
YOU! Mila Miceli
m.miceli@tu-berlin.de
@milagrosmiceli
Classifications
as Power
Technologies

14. INTERESTING
READS
Classifications as Power Technologies
Milagros Miceli

15. Astrid Mager. 2012. Algorithmic ideology. How capitalist society shapes search
engines.
danah boyd and Kate Crawford. 2012. Critical Questions for Big Data.
Provocations for a cultural, technological, and scholarly phenomenon.
David Beer. 2017. The social power of algorithms.
Joy Buolamwini. 2017. Gender Shades: Intersectional Phenotypic and
Demographic Evaluation of Face Datasets and Gender Classifiers.
Kathleen H. Pine and Max Liboiron. 2015. The Politics of Measurement and
Action.
Michael Muller et al. 2019. How Data Science Workers Work with Data:
Discovery, Capture, Curation, Design, Creation.
Nick Couldry and Ulises Mejías. 2018. Data Colonialism: Rethinking Big Data’s
Relation to the Contemporary Subject.
Pierre Bourdieu. 1992. Language and symbolic power.
Samir Passi and Steven J. Jackson. 2017. Data vision: Learning to see through
algorithmic abstraction.
Yilun Wang and Michael Kosinski. 2017. Deep neural networks are more
accurate than humans at detecting sexual orientation from facial images.
INTERESTING
READS
Classifications as Power Technologies
Milagros Miceli