The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment

The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment

21 April 2024

Sanika Moharana

Christina Harrington

Nazanin Andalibi

Motahhare Eslami

Papers citing "The Fall of an Algorithm: Characterizing the Dynamics Toward Abandonment"

19 / 19 papers shown

Title
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. V. Liao J. Vaughan 96 160 0 02 Jun 2023
Fairlearn: Assessing and Improving Fairness of AI Systems Hilde Weerts Miroslav Dudík Richard Edgar Adrin Jalali Roman Lutz Michael Madaio FaML 36 65 0 29 Mar 2023
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations Zixi Chen Varshini Subhash Marton Havasi Weiwei Pan Finale Doshi-Velez XAI FAtt 58 19 0 10 Nov 2022
Sociotechnical Harms of Algorithmic Systems: Scoping a Taxonomy for Harm Reduction Renee Shelby Shalaleh Rismani Kathryn Henne AJung Moon Negar Rostamzadeh ... N'Mah Yilla-Akbari Jess Gallegos A. Smart Emilio Garcia Gurleen Virk 65 196 0 11 Oct 2022
The Fallacy of AI Functionality Inioluwa Deborah Raji Indra Elizabeth Kumar Aaron Horowitz Andrew D. Selbst 51 183 0 20 Jun 2022
The Algorithmic Imprint Upol Ehsan Ranjit Singh Jacob Metcalf Mark O. Riedl FaML 49 32 0 03 Jun 2022
Imagining new futures beyond predictive systems in child welfare: A qualitative study with impacted stakeholders Logan Stapleton Min Hun Lee Diana Qing Mary-Frances Wright Alexandra Chouldechova Kenneth Holstein Zhiwei Steven Wu Haiyi Zhu 73 56 0 18 May 2022
Exploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits Wesley Hanwen Deng Manish Nagireddy M. S. Lee Jatinder Singh Zhiwei Steven Wu Kenneth Holstein Haiyi Zhu 55 93 0 13 May 2022
Heterogeneity in Algorithm-Assisted Decision-Making: A Case Study in Child Abuse Hotline Screening Ling-chi Cheng Alexandra Chouldechova 46 13 0 12 Apr 2022
Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency Kyra Yee U. Tantipongpipat Shubhanshu Mishra 37 46 0 18 May 2021
Everyday algorithm auditing: Understanding the power of everyday users in surfacing harmful algorithmic behaviors Hong Shen Alicia DeVrio Motahhare Eslami Kenneth Holstein MLAU 40 124 0 06 May 2021
Measurement and Fairness Abigail Z. Jacobs Hanna M. Wallach 63 383 0 11 Dec 2019
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques Vijay Arya Rachel K. E. Bellamy Pin-Yu Chen Amit Dhurandhar Michael Hind ... Karthikeyan Shanmugam Moninder Singh Kush R. Varshney Dennis L. Wei Yunfeng Zhang XAI 24 391 0 06 Sep 2019
AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias Rachel K. E. Bellamy Kuntal Dey Michael Hind Samuel C. Hoffman Stephanie Houde ... Diptikalyan Saha P. Sattigeri Moninder Singh Kush R. Varshney Yunfeng Zhang FaML SyDa 83 803 0 03 Oct 2018
A Unified Approach to Quantifying Algorithmic Unfairness: Measuring Individual & Group Unfairness via Inequality Indices Till Speicher Hoda Heidari Nina Grgic-Hlaca Krishna P. Gummadi Adish Singla Adrian Weller Muhammad Bilal Zafar FaML 40 261 0 02 Jul 2018
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 346 3,742 0 28 Feb 2017
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 124 4,276 0 07 Oct 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 582 16,828 0 16 Feb 2016
Falling Rule Lists Fulton Wang Cynthia Rudin 41 258 0 21 Nov 2014