Data Cartels

Lamdan, Sarah

doi:10.1515/9781503633728

Cited by 20 publications

(1 citation statement)

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“…Sociality implies building and maintaining relationships, not just within but also across identities, generations, and species. The neatly packaged data bundles of unified depersonalized aggregate data in which any trace of intersubjectivity is erased is just another product in the hands of the data brokers responsible for what Lamdan calls "the Costcoization of data" (Lamdan, 2022). This is the idea that data, even in its most diverse forms, is so ubiquitous and easy to find in one-stop data shops that acquiring it is akin to going to a big-box store to purchase everything you need in one place.…”

Section: Theorizing the Faces Roots And Othering Violence Of Ai Empirementioning

confidence: 99%

Challenging AI Empire: Toward a Decolonial and Queer Framework of Data Resurgence

Tacheva¹,

Ramasubramanian²

2023

Preprint

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In the age of AI, when models like DALL-E and ChatGPT impact countless aspects of our lives, the dehumanizing and harmful features of AI that have plagued data science since its inception continue resulting in the routine erasure, exploitation, and subjugation of people of color, Indigenous people, women, queer, non-binary, immigrant, dis/abled, and non-Western people. Far from a “glitch” or unintentional error, these endemic issues are a function of the systemic oppression upon which the global AI industry is built. Rooted in colonialism, heteropatriarchy, and racial capitalism, this perpetual oppression shows that we live not simply in the Age of AI but in the Age of AI Empire. Since Big Data and algorithms only further reinforce the logics of hegemony, extractivism, surveillance, and subjugation which drive AI Empire, we argue that reforming AI from within the same oppressive system that created it can do little beyond providing band-aid solutions. Instead, to advance justice, we must radically transform our ideas about data and technology and develop them from the bottom-up, from the perspectives of those who stand the most risk of being harmed. Rather than being perceived as “vulnerable,” the people and communities most directly impacted by AI are more properly understood as demonstrating technological ingenuity, alterity, sustained resistances, and refusals against AI Empire – practices we call Data Resurgence. Through the lessons learned from Indigenous, decolonial, and queer communities, we show that data resurgence can be a powerful collective response to AI Empire based on Anti-coloniality, Relationality, Sovereignty, and Liberatory Praxis.

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Section: Theorizing the Faces Roots And Othering Violence Of Ai Empirementioning

confidence: 99%

Challenging AI Empire: Toward a Decolonial and Queer Framework of Data Resurgence

Tacheva¹,

Ramasubramanian²

2023

Preprint

View full text Add to dashboard Cite

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Lawyers' Perspectives on Surveillance in U.S. Immigration Enforcement

Needle,

Fleischmann

2024

Proceedings of the Association for Information Science and Tech

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Increasing use of artificial intelligence (AI) and big data in surveillance by the U.S. immigration enforcement has led to important ethical considerations. This paper aims to explore the extent to which immigration lawyers are aware of surveillance technologies in their work with immigrants and the lawyers' potential concerns about surveillance technologies. Through a thematic analysis of six semi‐structured interviews with U.S. immigration lawyers and legal practitioners, this research reveals three overarching themes that describe lawyers' perspectives on surveillance: surveillance knowledge, surveillance assemblage, and surveillance implications. These themes are rooted in lawyers' understandings, experiences, and encounters with surveillance in their daily work with immigrant communities and contribute to existing work at the intersection of surveillance, information studies, and immigration. This work calls on information scholars to explore and expand on understandings of surveillance within U.S. immigration enforcement.

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Databases, Search Engines

Martens

2023

Synthesis Lectures on Information Concepts, Retrieval, and Services

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Data Cartels

Cited by 20 publications

References 0 publications

Challenging AI Empire: Toward a Decolonial and Queer Framework of Data Resurgence

Challenging AI Empire: Toward a Decolonial and Queer Framework of Data Resurgence

Lawyers' Perspectives on Surveillance in U.S. Immigration Enforcement

Databases, Search Engines

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