NLG for legal observer training https://www.nlg.org/

https://piedepagina.mx/the-ahuehuete-that-blossoms/ 

https://mayfirst.coop/en/ 

Rise up → pad technology

Let's make a collaborative story 

The idea is to construct a short story of between 4 or 5 short paragraphs. The topic we suggest is technology and its biases. The idea is to portray a personal experience that is mixed with a substantiated source of information such as research. At the end of this guide you will find the study we suggest that you can use as a support.

Tips

1 We suggest reading the text selection (below the guide).

2 Exchange opinions about the reading

3 Share experiences related to technology biases. 

5 Choose an experience to narrate.

(There are several themes you can take: surveillance, racism, artificial intelligence, patriarchy, extractivism, etc).

This is a guide to writing our story.

                                   Title 

       (Try to make one, but don't worry if you don't have one, sometimes it helps to make one at the end. Write below) 

                                First paragraph

(Introduces us to a particular experience in relation to technology, try to narrate it in third person, for example: Last year, when Aranza visited her favorite social network, she noticed that her timeline showed pictures that were mostly from ....) 

Write the following =>

                                Second paragraph

(You can address the study, e.g.: According to the study Artificial Intelligence published in 2021, AI should be understood as a development from the dominant social practices of engineers and computer scientists...) 

Continue writing =>

                                Third paragraph

(Here we can better relate the story to the study, problematize and reflect, for example: ...realized that this situation was not unique to this social network, because as the study points out, companies not only mediate but end up endorsing the commodification of women's identity). 

The wording continues=>

                                  Fourth paragraph

 (There are no rules for this, although a good ending should close the particular story, at the same time it should encourage us to remain interested in the issues).

End the writing =>

                                  Fifth paragraph?

(Feel free to add or make your story more complete, don't limit yourself. The important thing is to unleash creativity, reflection and collaboration.)

================================= Suggested Reading ===================================

Oppressive A.I.: Feminist Categories to Understand its Political Effects

According to the “Algorithmic Accountability Policy Toolkit”, released by AINOW, A.I. should be understood as a development from the dominant social practices of the engineers and computer scientists who design the systems, the industrial infrastructure, and the companies that run these systems. Therefore, “a more complete definition of A.I. includes technical approaches, social practices, and industrial power.” (AINOW, 2018).

A.I. in the public sector

Despite all these questions, many States around the world are increasingly using algorithmic decision-making tools to determine the distribution of goods and services, including education, public health services, policing, and housing, among others. Beyond principles, more empirically, particularly within the US, where some of these projects have been developed further than pilot phases, confronted with the evidence on bias and harm caused by automated decisions, Artificial Intelligence programs have faced criticism on several fronts. But more recently, governments in Latin America are also following the hype to deploy A.I. systems in public services, sometimes with the support of US companies that are using the region as a laboratory of ideas which, perhaps fearing criticism in their home countries, are not even tested in the US first.

A. Surveillance of the poor: turning poverty and vulnerability into machine-readable data

The former United Nations Rapporteur on Extreme Poverty and Human Rights, Philip Alston, has criticized the phenomenon in which “systems of social protection and assistance are increasingly driven by digital data and technologies that are used to automate, predict, identify, surveil, detect, target and punish.” 

B. Embedded racism 

For the UN Special Rapporteur, E. Tandayi (2020), emerging digital technologies should also be understood as capable of creating and maintaining racial and ethnic exclusion in systemic or structural terms.

Ruha Benjamin (2019)  discusses how the use of new technologies reflects and reproduces the existing racial injustices in US society, even though they are promoted and perceived as more objective or progressive than the discriminatory systems of an earlier era.

From technology development itself, in her research, Noble (2018) demonstrates how commercial search engines such as Google not only mediate but are mediated by a series of commercial imperatives that, in turn, are supported by both economic and information policies that end up endorsing the commodification of women’s identities.

C. Patriarchal by Design: sexism, compulsory heteronormativity, and gender binarism

Many AI systems work by sorting people into a binary view of gender, as well as by reinforcing outdated stereotypes of gender and sexual orientation. A recent study co-authored by DeepMind senior staff scientist Shakir Mohamed exposes how the discussion about algorithmic fairness has omitted sexual orientation and gender identity, with concrete impacts on “censorship, language, online safety, health, and employment” leading to discrimination and exclusion of LGBT+ people.

D. Colonial extractivism of data bodies and territories

Authors like Couldry and Mejias (2018) y Shoshana Zuboff (2019) review this current state of capitalism where the production and extraction of personal data naturalize the colonial appropriation of life in general. To achieve this, a series of ideological processes operate where, on the one hand, personal data is treated as raw material, naturally disposable for the expropriation of capital and, on the other, where corporations are considered the only ones capable of processing and, therefore, appropriate the data.

Full study in: https://notmy.ai/news/oppressive-a-i-feminist-categories-to-understand-its-political-effects/

5m:

- Each person share one phrase or idea from this Padlet that is making you think.

- As a group, create one question in response to this Padlet. Write it down.

- Seek to answer your question until time is up

Improv: 30 sec move continuously, 30 sec write continuously, 30 sec draw continuously

Embodiment - Body Mapping: create a mental map of all of the sensations in your body

Form - attending to the how, form = content, how we do everything is as important as WHAT we’re doing

https://www.akpress.org/liberated-to-the-bone.html 

https://www.shannonstott.com/ 

https://arawanahayashi.com/spt.html