ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2203.07031
  4. Cited By
Model Positionality and Computational Reflexivity: Promoting Reflexivity
  in Data Science

Model Positionality and Computational Reflexivity: Promoting Reflexivity in Data Science

8 March 2022
S. Cambo
Darren Gergle
ArXivPDFHTML

Papers citing "Model Positionality and Computational Reflexivity: Promoting Reflexivity in Data Science"

15 / 15 papers shown
Title
"For Us By Us": Intentionally Designing Technology for Lived Black
  Experiences
"For Us By Us": Intentionally Designing Technology for Lived Black Experiences
Lisa Egede
Leslie Coney
Brittany Johnson
Christina N. Harrington
Denae Ford
24
10
0
01 Oct 2024
Tracking Patterns in Toxicity and Antisocial Behavior Over User
  Lifetimes on Large Social Media Platforms
Tracking Patterns in Toxicity and Antisocial Behavior Over User Lifetimes on Large Social Media Platforms
Katy Blumer
Jon Kleinberg
18
0
0
12 Jul 2024
Native Design Bias: Studying the Impact of English Nativeness on
  Language Model Performance
Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance
Manon Reusens
Philipp Borchert
Jochen De Weerdt
Bart Baesens
36
0
0
25 Jun 2024
Rideshare Transparency: Translating Gig Worker Insights on AI Platform
  Design to Policy
Rideshare Transparency: Translating Gig Worker Insights on AI Platform Design to Policy
Varun Nagaraj Rao
Samantha Dalal
Eesha Agarwal
D. Calacci
Andrés Monroy-Hernández
24
2
0
16 Jun 2024
A Taxonomy of Challenges to Curating Fair Datasets
A Taxonomy of Challenges to Curating Fair Datasets
Dora Zhao
M. Scheuerman
Pooja Chitre
Jerone T. A. Andrews
Georgia Panagiotidou
Shawn Walker
Kathleen H. Pine
Alice Xiang
41
2
0
10 Jun 2024
False consensus biases AI against vulnerable stakeholders
False consensus biases AI against vulnerable stakeholders
Mengchen Dong
Jean‐François Bonnefon
Iyad Rahwan
35
0
0
17 May 2024
From Melting Pots to Misrepresentations: Exploring Harms in Generative
  AI
From Melting Pots to Misrepresentations: Exploring Harms in Generative AI
Sanjana Gautam
Pranav Narayanan Venkit
Sourojit Ghosh
44
15
0
16 Mar 2024
The AI Incident Database as an Educational Tool to Raise Awareness of AI
  Harms: A Classroom Exploration of Efficacy, Limitations, & Future
  Improvements
The AI Incident Database as an Educational Tool to Raise Awareness of AI Harms: A Classroom Exploration of Efficacy, Limitations, & Future Improvements
Michael Feffer
Nikolas Martelaro
Hoda Heidari
29
14
0
10 Oct 2023
Envisioning Narrative Intelligence: A Creative Visual Storytelling
  Anthology
Envisioning Narrative Intelligence: A Creative Visual Storytelling Anthology
Brett A. Halperin
S. Lukin
CoGe
63
24
0
06 Oct 2023
NLPositionality: Characterizing Design Biases of Datasets and Models
NLPositionality: Characterizing Design Biases of Datasets and Models
Sebastin Santy
Jenny T Liang
Ronan Le Bras
Katharina Reinecke
Maarten Sap
30
77
0
02 Jun 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey
  and Taxonomy
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Xiaofeng Zhu
Qingyuan Li
MU
36
25
0
10 May 2023
Generating Process-Centric Explanations to Enable Contestability in
  Algorithmic Decision-Making: Challenges and Opportunities
Generating Process-Centric Explanations to Enable Contestability in Algorithmic Decision-Making: Challenges and Opportunities
Mireia Yurrita
Agathe Balayn
U. Gadiraju
21
2
0
01 May 2023
Rethinking "Risk" in Algorithmic Systems Through A Computational
  Narrative Analysis of Casenotes in Child-Welfare
Rethinking "Risk" in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-Welfare
Devansh Saxena
Erin Moon
Aryan Chaurasia
Yixin Guan
Shion Guha
20
26
0
16 Feb 2023
Trust in Data Science: Collaboration, Translation, and Accountability in
  Corporate Data Science Projects
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects
Samir Passi
S. Jackson
168
108
0
09 Feb 2020
Data Vision: Learning to See Through Algorithmic Abstraction
Data Vision: Learning to See Through Algorithmic Abstraction
Samir Passi
S. Jackson
135
111
0
09 Feb 2020
1