This video made me so interested in this practice! It is a very clear interview that reveals what Ethnography is nowadays for Sarah - working with the subject, not a distant approach.

NOTES FROM TEANA'S CLASS

GROUP-EXERCISE!

1. Candy the cashier has the main focus and spatial aspects/costumer territory
2. relationship between body separation and food separation (), physical appearance
3. Very personal way of writing sharing his own point of view, Politeness in relationship with actions, at last, physical appearance
4. Guy that is well aware of the social status of the area surrounding the supermarket/ *focus on interactions* much less focus on the description
5. Description is more objective than subjective, more focused on others, class division is more evident - ralph's is more about his own experience, own point of view and actions /this is called perspective of the self

TEANA'S ASSIGNMENT

version 1 before feedback

PABLO'S ASSIGNMENT

ARTIFICIAL INTELLIGENCE AND ITS INFLUENCE ON GENDER BIAS

my final theory essay about:

Sources for the essay

Rothman, Joshua. In the Age of A.I., Is Seeing Still Believing? The New Yorker, 5 Nov. 2018.
Manav Raj, Robert Seamans. “Primer on artificial intelligence and robotics”. Journal of Organization
Design, 2019. https://doi.org/10.1186/s41469-019-0050-0

Metz, Cade. “We Teach A.I. Systems Everything, Including Our Biases”. The New York Times, 11 Nov.
2019. https://www.nytimes.com/2019/11/11/technology/artificial-intelligencebias.html?action=click&module=RelatedLinks&pgtype=Article

Smith, Craig S. “Dealing with Bias in Artificial Intelligence”. The New York Times, Published 19 Nov.
2019 (Updated 2 Jan. 2020). https://www.nytimes.com/2019/11/19/technology/artificial-intelligencebias.html

Crawford, Kate, Roel Dobbe, Theodora Dryer, Genevieve Fried, Ben Green, Elizabeth Kaziunas, Amba
Kak, Varoon Mathur, Erin McElroy, Andrea Nill Sánchez, Deborah Raji, Joy Lisi Rankin, Rashida
Richardson, Jason Schultz, Sarah Myers West, and Meredith Whittaker. AI Now 2019 Report. New
York: AI Now Institute, 2019. https://ainowinstitute.org/AI_Now_2019_Report.html.

Kohs, Greg. “AlphaGo - The Movie | Full Documentary”. DeepMind YouTube Channel, 13 Mar. 2020.
https://www.youtube.com/watch?v=WXuK6gekU1Y

Thackara, Tess. “Human Biases Are Built into AI – This Artist Is Helping to Change That”. Artsy, 15
May 2018 – 5:18pm. https://www.artsy.net/article/artsy-editorial-artist-working-artificialintelligence-white

Maroti, Christine. “Gender bias in AI: building fairer algorithms”. Understanding with Unbabel –
Artificial Intelligence, 17 Sept 2019. https://unbabel.com/blog/gender-bias-artificial-intelligence/

[Additionally, a new book, Algorithms of Oppression: How Search Engines Reinforce Racism, argues
that search engines themselves are inherently discriminatory.]

What exactly do we mean by bias?

Colloquially speaking, bias is defined as a prejudice for or against one person or group, typically in a way considered to be unfair. Bias in the machine learning sense is defined a bit differently, as an “error from erroneous assumptions in a learning algorithm.” In other words, a model consistently making the same mistakes.

If we want AI to be a true representation of humanity, should we even try to remove bias? Should AI be merely descriptive of human behaviour, or should it be prescriptive?

TEANA'S ASSIGNMENT

final version - Observations at Stationplein

Feedback from Version 1

Feedback: “Very creative to use an earth cam to do this assignment. I would ask you to do one live to be able to feel the difference. You are however still missing a few categories: 3 of 5 sensory impressions and your personal response to what you are doing is minimal. Here you could have described how this spying made you feel: use vocabulary to describe your position as a researcher here. Not there yet, please re-submit.”