Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context

17 June 2020

Donald Martin

Vinodkumar Prabhakaran

Papers citing "Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context"

21 / 21 papers shown

Title
SYMBIOSIS: Systems Thinking and Machine Intelligence for Better Outcomes in Society Sameer Sethi Donald Martin Jr. Emmanuel Klu 36 1 0 07 Mar 2025
FairSense: Long-Term Fairness Analysis of ML-Enabled Systems Yining She Sumon Biswas Christian Kastner Eunsuk Kang 42 0 0 03 Jan 2025
Troubling Taxonomies in GenAI Evaluation Glen Berman Ned Cooper Wesley Hanwen Deng Ben Hutchinson 41 0 0 30 Oct 2024
Safeguarding Large Language Models: A Survey Yi Dong Ronghui Mu Yanghao Zhang Siqi Sun Tianle Zhang ... Yi Qi Jinwei Hu Jie Meng Saddek Bensalem Xiaowei Huang OffRL KELM AILaw 35 17 0 03 Jun 2024
Building Guardrails for Large Language Models Yizhen Dong Ronghui Mu Gao Jin Yi Qi Jinwei Hu Xingyu Zhao Jie Meng Wenjie Ruan Xiaowei Huang OffRL 59 27 0 02 Feb 2024
$Decolonial AI Alignment: Openness, Viśe\d{s}a-Dharma, and Including Excluded Knowledges$ Decolonial AI Alignment: Openness, Viśe\d{s}a-Dharma, and Including Excluded Knowledges Kush R. Varshney 36 2 0 10 Sep 2023
Ecosystem Graphs: The Social Footprint of Foundation Models Rishi Bommasani Dilara Soylu Thomas I. Liao Kathleen A. Creel Percy Liang MLAU 27 32 0 28 Mar 2023
Concrete Safety for ML Problems: System Safety for ML Development and Assessment Edgar W. Jatho L. Mailloux Eugene D. Williams P. McClure Joshua A. Kroll 17 1 0 06 Feb 2023
System Safety Engineering for Social and Ethical ML Risks: A Case Study Edgar W. Jatho L. Mailloux Shalaleh Rismani Eugene D. Williams Joshua A. Kroll 23 2 0 08 Nov 2022
Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models Maribeth Rauh John F. J. Mellor J. Uesato Po-Sen Huang Johannes Welbl ... Amelia Glaese G. Irving Iason Gabriel William S. Isaac Lisa Anne Hendricks 25 49 0 16 Jun 2022
Evaluation Gaps in Machine Learning Practice Ben Hutchinson Negar Rostamzadeh Christina Greer Katherine A. Heller Vinodkumar Prabhakaran ELM 28 56 0 11 May 2022
Towards a multi-stakeholder value-based assessment framework for algorithmic systems Mireia Yurrita Dave Murray-Rust Agathe Balayn A. Bozzon MLAU 21 29 0 09 May 2022
The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness E. A. Watkins Michael McKenna Jiahao Chen 4 30 0 19 Feb 2022
Thinking Beyond Distributions in Testing Machine Learned Models Negar Rostamzadeh B. Hutchinson Christina Greer Vinodkumar Prabhakaran TTA 32 6 0 06 Dec 2021
Deploying clinical machine learning? Consider the following... Charles Lu Kenglun Chang Praveer Singh S. Pomerantz S. Doyle Sujay S Kakarmath Christopher P. Bridge Jayashree Kalpathy-Cramer 46 4 0 14 Sep 2021
Diversity in Sociotechnical Machine Learning Systems S. Fazelpour Maria De-Arteaga 11 36 0 19 Jul 2021
Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets Irene Solaiman Christy Dennison 22 222 0 18 Jun 2021
Transdisciplinary AI Observatory -- Retrospective Analyses and Future-Oriented Contradistinctions Nadisha-Marie Aliman L. Kester Roman V. Yampolskiy 19 13 0 26 Nov 2020
An Empirical Characterization of Fair Machine Learning For Clinical Risk Prediction Stephen R. Pfohl Agata Foryciarz N. Shah FaML 20 108 0 20 Jul 2020
Measurement and Fairness Abigail Z. Jacobs Hanna M. Wallach 12 380 0 11 Dec 2019
Fair prediction with disparate impact: A study of bias in recidivism prediction instruments Alexandra Chouldechova FaML 207 2,082 0 24 Oct 2016