Rideshare Transparency: Translating Gig Worker Insights on AI Platform
Design to Policy

Rideshare Transparency: Translating Gig Worker Insights on AI Platform Design to Policy

16 June 2024

Varun Nagaraj Rao

Andrés Monroy-Hernández

Papers citing "Rideshare Transparency: Translating Gig Worker Insights on AI Platform Design to Policy"

7 / 7 papers shown

Title
Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes Angie Zhang Alexander Boltz Jonathan Lynn Chun-Wei Wang Min Kyung Lee 51 33 0 06 Mar 2023
Model Positionality and Computational Reflexivity: Promoting Reflexivity in Data Science S. Cambo Darren Gergle 37 34 0 08 Mar 2022
Quantifying Gender Biases Towards Politicians on Reddit Sara Vera Marjanović Karolina Stañczak Isabelle Augenstein 45 15 0 22 Dec 2021
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs Harini Suresh Steven R. Gomez K. Nam Arvind Satyanarayan 58 128 0 24 Jan 2021
Discovering and Categorising Language Biases in Reddit Xavier Ferrer Aran Tom van Nuenen Jose Such Natalia Criado 13 49 0 06 Aug 2020
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use S. Tonekaboni Shalmali Joshi M. Mccradden Anna Goldenberg 50 389 0 13 May 2019
Datasheets for Datasets Timnit Gebru Jamie Morgenstern Briana Vecchione Jennifer Wortman Vaughan Hanna M. Wallach Hal Daumé Kate Crawford 207 2,158 0 23 Mar 2018