A Critical Field Guide for Working with Machine Learning Datasets | Paper Citation Record

Observation 432aeb7b-95ce-43fd-b5ed-5bcd9e8c0b09 · outbound

This paper cites Browne, Dark matters: on the surveillance of blackness.

A Critical Field Guide for Working with Machine Learning Datasets Browne, Dark matters: on the surveillance of blackness

Reference 4

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This paper cites Making data colonialism liveable: how might data’s social order be regulated?,.

A Critical Field Guide for Working with Machine Learning Datasets Making data colonialism liveable: how might data’s social order be regulated?,

Reference 5

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This paper cites Machine Bias,.

A Critical Field Guide for Working with Machine Learning Datasets Machine Bias,

Reference 6

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This paper cites 17. Classification — Computational and Inferential Thinking,.

A Critical Field Guide for Working with Machine Learning Datasets 17. Classification — Computational and Inferential Thinking,

Reference 7

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This paper cites Leonelli, Data-Centric Biology: A Philosophical Study.

A Critical Field Guide for Working with Machine Learning Datasets Leonelli, Data-Centric Biology: A Philosophical Study

Reference 8

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This paper cites The Relevance of Algorithms,.

A Critical Field Guide for Working with Machine Learning Datasets The Relevance of Algorithms,

Reference 9

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This paper cites Raw data.

A Critical Field Guide for Working with Machine Learning Datasets Raw data

Reference 10

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This paper cites Koopman, How We Became Our Data: A Genealogy of the Informational Person.

A Critical Field Guide for Working with Machine Learning Datasets Koopman, How We Became Our Data: A Genealogy of the Informational Person

Reference 11

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A Critical Field Guide for Working with Machine Learning Datasets Unresolved cited work

Reference 12

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This paper cites Kitchin, Data Lives.

A Critical Field Guide for Working with Machine Learning Datasets Kitchin, Data Lives

Reference 13

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This paper cites Gleick, The information: a history, a theory, a flood, 1st Vintage Books ed., 2012.

A Critical Field Guide for Working with Machine Learning Datasets Gleick, The information: a history, a theory, a flood, 1st Vintage Books ed., 2012

Reference 14

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A Critical Field Guide for Working with Machine Learning Datasets Unresolved cited work

Reference 15

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This paper cites Algorithmic culture,.

A Critical Field Guide for Working with Machine Learning Datasets Algorithmic culture,

Reference 16

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This paper cites Datson, Rules.

A Critical Field Guide for Working with Machine Learning Datasets Datson, Rules

Reference 17

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This paper cites Chollet, Deep Learning with Python, Second Edition.

A Critical Field Guide for Working with Machine Learning Datasets Chollet, Deep Learning with Python, Second Edition

Reference 18

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This paper cites The ontology explorer: A method to make visible data infrastructures for population management,.

A Critical Field Guide for Working with Machine Learning Datasets The ontology explorer: A method to make visible data infrastructures for population management,

Reference 19

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This paper cites Lawsuits allege Microsoft, Amazon and Google violated Illinois facial recognition privacy law,.

A Critical Field Guide for Working with Machine Learning Datasets Lawsuits allege Microsoft, Amazon and Google violated Illinois facial recognition privacy law,

Reference 20

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This paper cites Facial recognition’s ‘dirty little secret’: Social media photos used without consent,.

A Critical Field Guide for Working with Machine Learning Datasets Facial recognition’s ‘dirty little secret’: Social media photos used without consent,

Reference 21

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This paper cites Critical Dataset Studies Reading List,.

A Critical Field Guide for Working with Machine Learning Datasets Critical Dataset Studies Reading List,

Reference 22

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Observation bd3808dc-9c6c-40be-8cdc-7d4e551a0e7e · outbound

This paper cites Yolanda Gil: Teaching Data Science to Non-Programmers,.

A Critical Field Guide for Working with Machine Learning Datasets Yolanda Gil: Teaching Data Science to Non-Programmers,

Reference 23

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This paper cites Datasheets for Datasets.

A Critical Field Guide for Working with Machine Learning Datasets Datasheets for Datasets

Reference 24

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This paper cites Crawford, Atlas of AI: power, politics, and the planetary costs of artificial intelligence.

A Critical Field Guide for Working with Machine Learning Datasets Crawford, Atlas of AI: power, politics, and the planetary costs of artificial intelligence

Reference 25

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This paper cites Cady, The data science handbook.

A Critical Field Guide for Working with Machine Learning Datasets Cady, The data science handbook

Reference 26

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This paper cites Friedman and D.

A Critical Field Guide for Working with Machine Learning Datasets Friedman and D

Reference 27

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This paper cites Using artificial intelligence, geo-journalism and data journalism, journalists dodge some of the dangers of covering the Amazon,.

A Critical Field Guide for Working with Machine Learning Datasets Using artificial intelligence, geo-journalism and data journalism, journalists dodge some of the dangers of covering the Amazon,

Reference 28

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This paper cites Ithaca | Restoring and attributing ancient texts using deep neural networks,.

A Critical Field Guide for Working with Machine Learning Datasets Ithaca | Restoring and attributing ancient texts using deep neural networks,

Reference 30

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This paper cites On the Endless Infrastructural Reach of a Phoneme,.

A Critical Field Guide for Working with Machine Learning Datasets On the Endless Infrastructural Reach of a Phoneme,

Reference 31

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This paper cites CALLFRIEND Egyptian Arabic.

A Critical Field Guide for Working with Machine Learning Datasets CALLFRIEND Egyptian Arabic

Reference 32

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This paper cites CALLHOME Egyptian Arabic Speech.

A Critical Field Guide for Working with Machine Learning Datasets CALLHOME Egyptian Arabic Speech

Reference 33

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This paper cites Eine Software des BAMF bringt Menschen in Gefahr,.

A Critical Field Guide for Working with Machine Learning Datasets Eine Software des BAMF bringt Menschen in Gefahr,

Reference 34

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This paper cites Personal conversation,.

A Critical Field Guide for Working with Machine Learning Datasets Personal conversation,

Reference 35

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This paper cites On̸ ̸The App̸arentl̸y ̸Me̸aningl̸e̸ss Texture of Noise̸.

A Critical Field Guide for Working with Machine Learning Datasets On̸ ̸The App̸arentl̸y ̸Me̸aningl̸e̸ss Texture of Noise̸

Reference 36

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A Critical Field Guide for Working with Machine Learning Datasets Researchers train AI on ‘synthetic data’ to uncover Syrian war crimes,

Reference 37

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This paper cites AI Emerges as Crucial Tool for Groups Seeking Justice for Syria War Crimes,.

A Critical Field Guide for Working with Machine Learning Datasets AI Emerges as Crucial Tool for Groups Seeking Justice for Syria War Crimes,

Reference 38

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This paper cites Data Science 4 All – a user friendly data science learning site.

A Critical Field Guide for Working with Machine Learning Datasets Data Science 4 All – a user friendly data science learning site

Reference 39

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This paper cites McKinney, Python for Data Analysis, 3E, Open 3rd Edition.

A Critical Field Guide for Working with Machine Learning Datasets McKinney, Python for Data Analysis, 3E, Open 3rd Edition

Reference 40

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This paper cites Accessed: Jul.

A Critical Field Guide for Working with Machine Learning Datasets Accessed: Jul

Reference 41

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This paper cites Consider Data Cleaning v1.1,.

A Critical Field Guide for Working with Machine Learning Datasets Consider Data Cleaning v1.1,

Reference 42

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A Critical Field Guide for Working with Machine Learning Datasets McPherson, Feminist in a Software Lab: Difference + Design

Reference 43

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This paper cites The Library of Missing Datasets — MIMI ỌNỤỌHA,.

A Critical Field Guide for Working with Machine Learning Datasets The Library of Missing Datasets — MIMI ỌNỤỌHA,

Reference 44

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This paper cites Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics,.

A Critical Field Guide for Working with Machine Learning Datasets Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics,

Reference 45

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This paper cites The Point of Collection,.

A Critical Field Guide for Working with Machine Learning Datasets The Point of Collection,

Reference 46

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This paper cites Responsible Data Handbook | Getting Data.

A Critical Field Guide for Working with Machine Learning Datasets Responsible Data Handbook | Getting Data

Reference 47

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A Critical Field Guide for Working with Machine Learning Datasets Responsible Data Handbook

Reference 48

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This paper cites Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation.

A Critical Field Guide for Working with Machine Learning Datasets Whose Ground Truth? Accounting for Individual and Collective Identities Underlying Dataset Annotation

Reference 49

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A Critical Field Guide for Working with Machine Learning Datasets A Framework for Deprecating Datasets: Standardizing Documentation, Identification, and Communication,

Reference 50

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A Critical Field Guide for Working with Machine Learning Datasets Design Justice for Action,

Reference 51

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This paper cites Ten simple rules for responsible big data research,.

A Critical Field Guide for Working with Machine Learning Datasets Ten simple rules for responsible big data research,

Reference 52

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This paper cites The Data Ethics Canvas.

A Critical Field Guide for Working with Machine Learning Datasets The Data Ethics Canvas

Reference 54

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This paper cites Local Contexts – Grounding Indigenous Rights.

A Critical Field Guide for Working with Machine Learning Datasets Local Contexts – Grounding Indigenous Rights

Reference 55

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Observation bb044a67-332c-4164-82d1-3c0383d6ebea · outbound

This paper cites FAIR Principles,.

A Critical Field Guide for Working with Machine Learning Datasets FAIR Principles,

Reference 56

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Observation 8915baaf-390e-40c0-bb45-41ae1ee990f6 · outbound

This paper cites CARE Principles of Indigenous Data Governance,.

A Critical Field Guide for Working with Machine Learning Datasets CARE Principles of Indigenous Data Governance,

Reference 57

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Observation 9c45ae34-0ca7-43b0-b716-7faf085786ab · outbound

This paper cites The Problem With Bias: Allocative Versus Representational Harms in Machine Learning.,.

A Critical Field Guide for Working with Machine Learning Datasets The Problem With Bias: Allocative Versus Representational Harms in Machine Learning.,

Reference 58

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This paper cites Benjamin, Race After Technology: Abolitionist Tools for the New Jim Code, 1 edition.

A Critical Field Guide for Working with Machine Learning Datasets Benjamin, Race After Technology: Abolitionist Tools for the New Jim Code, 1 edition

Reference 59

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This paper cites Data and its (dis)contents: A survey of dataset development and use in machine learning research,.

A Critical Field Guide for Working with Machine Learning Datasets Data and its (dis)contents: A survey of dataset development and use in machine learning research,

Reference 60

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Observation c74c88c1-dfe0-4be0-a33b-f9e7dd650298 · outbound

This paper cites A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle,.

A Critical Field Guide for Working with Machine Learning Datasets A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle,

Reference 61

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A Critical Field Guide for Working with Machine Learning Datasets The Data-Production Dispositif

Reference 62

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A Critical Field Guide for Working with Machine Learning Datasets Apprich, W

Reference 64

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This paper cites Feeling fixes: Mess and emotion in algorithmic audits,.

A Critical Field Guide for Working with Machine Learning Datasets Feeling fixes: Mess and emotion in algorithmic audits,

Reference 65

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A Critical Field Guide for Working with Machine Learning Datasets Language (Technology) is Power: A Critical Survey of "Bias" in NLP

Reference 66

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A Critical Field Guide for Working with Machine Learning Datasets Unresolved cited work

Reference 67

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This paper cites Large image datasets: A pyrrhic win for computer vision?.

A Critical Field Guide for Working with Machine Learning Datasets Large image datasets: A pyrrhic win for computer vision?

Reference 68

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A Critical Field Guide for Working with Machine Learning Datasets Blair, P

Reference 69

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A Critical Field Guide for Working with Machine Learning Datasets The Power to Name: Representation in Library Catalogs,

Reference 70

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A Critical Field Guide for Working with Machine Learning Datasets Critical Algorithm Studies: a Reading List,

Reference 71

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This paper cites 50 Years of Test (Un)fairness: Lessons for Machine Learning,.

A Critical Field Guide for Working with Machine Learning Datasets 50 Years of Test (Un)fairness: Lessons for Machine Learning,

Reference 72

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This paper cites Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair.

A Critical Field Guide for Working with Machine Learning Datasets Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair

Reference 73

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A Critical Field Guide for Working with Machine Learning Datasets A Survey on Bias and Fairness in Machine Learning

Reference 74

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A Critical Field Guide for Working with Machine Learning Datasets State-of-the-art generalisation research in NLP: A taxonomy and review

Reference 75

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A Critical Field Guide for Working with Machine Learning Datasets Explainable deep learning for efficient and robust pattern recognition: A survey of recent developments,

Reference 76

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A Critical Field Guide for Working with Machine Learning Datasets Demarginalizing the Intersection of Race and Sex: A Black Feminist Critique of Antidiscrimination Doctrine, Feminist Theory and Antiracist Politics,

Reference 77

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A Critical Field Guide for Working with Machine Learning Datasets Intersectionality,

Reference 79

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A Critical Field Guide for Working with Machine Learning Datasets Intersectionality,

Reference 80

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A Critical Field Guide for Working with Machine Learning Datasets Unresolved cited work

Reference 81

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A Critical Field Guide for Working with Machine Learning Datasets Intersectional AI Toolkit,

Reference 82

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A Critical Field Guide for Working with Machine Learning Datasets Towards Intersectionality in Machine Learning: Including More Identities, Handling Underrepresentation, and Performing Evaluation,

Reference 83

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A Critical Field Guide for Working with Machine Learning Datasets Don’t ask if artificial intelligence is good or fair, ask how it shifts power,

Reference 84

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A Critical Field Guide for Working with Machine Learning Datasets Data Violence and How Bad Engineering Choices Can Damage Society,

Reference 85

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This paper cites Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?,.

A Critical Field Guide for Working with Machine Learning Datasets Studying Up Machine Learning Data: Why Talk About Bias When We Mean Power?,

Reference 86

Resolution: verified exact; doi, observed 2026-08-10T14:17:57.059309Z

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This paper cites Managing Bias When Library Collections Become Data,.

A Critical Field Guide for Working with Machine Learning Datasets Managing Bias When Library Collections Become Data,

Reference 87

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Observation d7775dd6-3deb-4ebf-81e3-e3b2cd00a7ab · outbound

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A Critical Field Guide for Working with Machine Learning Datasets Sinclair and J

Reference 88

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A Critical Field Guide for Working with Machine Learning Datasets Hugging Face

Reference 89

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A Critical Field Guide for Working with Machine Learning Datasets Unresolved cited work

Reference 90

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Observation 8a93fa94-a4a5-4550-b08b-04d93c34170a · outbound

This paper cites Papers With Code.

A Critical Field Guide for Working with Machine Learning Datasets Papers With Code

Reference 91

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This paper cites re3data.org.

A Critical Field Guide for Working with Machine Learning Datasets re3data.org

Reference 92

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