Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning

10 February 2022

Papers citing "Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning"

36 / 36 papers shown

Title
Provocations from the Humanities for Generative AI Research Lauren F. Klein Meredith Martin André Brock Maria Antoniak Melanie Walsh Jessica Marie Johnson Lauren Tilton David M. Mimno VLM 64 1 0 26 Feb 2025
The Pitfalls of "Security by Obscurity" And What They Mean for Transparent AI Peter Hall Olivia Mundahl Sunoo Park 71 0 0 30 Jan 2025
Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice A. Feder Cooper Christopher A. Choquette-Choo Miranda Bogen Matthew Jagielski Katja Filippova ... Abigail Z. Jacobs Andreas Terzis Hanna M. Wallach Nicolas Papernot Katherine Lee AILaw MU 91 10 0 09 Dec 2024
A Comprehensive Survey and Classification of Evaluation Criteria for Trustworthy Artificial Intelligence Louise McCormack Malika Bendechache XAI 24 0 0 10 Oct 2024
Fill In The Gaps: Model Calibration and Generalization with Synthetic Data Yang Ba M. Mancenido Rong Pan SyDa 16 1 0 07 Oct 2024
Disentangled Representation Learning for Parametric Partial Differential Equations Ning Liu Lu Zhang Tian Gao Yue Yu DRL AI4CE 42 0 0 03 Oct 2024
Acceptable Use Policies for Foundation Models Kevin Klyman 26 14 0 29 Aug 2024
Being Accountable is Smart: Navigating the Technical and Regulatory Landscape of AI-based Services for Power Grid Anna Volkova Mahdieh Hatamian Fan Yang Bin Cui 26 2 0 02 Aug 2024
From Model Performance to Claim: How a Change of Focus in Machine Learning Replicability Can Help Bridge the Responsibility Gap Tianqi Kou 32 0 0 19 Apr 2024
The Transformation Risk-Benefit Model of Artificial Intelligence: Balancing Risks and Benefits Through Practical Solutions and Use Cases Richard Fulton Diane Fulton Nate Hayes Susan Kaplan 33 1 0 11 Apr 2024
From Fitting Participation to Forging Relationships: The Art of Participatory ML Ned Cooper Alex Zafiroglu 25 9 0 11 Mar 2024
Materiality and Risk in the Age of Pervasive AI Sensors Matthew P. Stewart Emanuel Moss Pete Warden Brian Plancher Susan Kennedy Mona Sloane Vijay Janapa Reddi 19 1 0 17 Feb 2024
On the Standardization of Behavioral Use Clauses and Their Adoption for Responsible Licensing of AI Daniel J. McDuff Tim Korjakow Scott Cambo Jesse Josua Benjamin Jenny Lee ... Aaron Gokaslan Alek Tarkowski Joseph Lindley A. F. Cooper Danish Contractor MedIm 20 7 0 07 Feb 2024
Visibility into AI Agents Alan Chan Carson Ezell Max Kaufmann K. Wei Lewis Hammond ... Nitarshan Rajkumar David M. Krueger Noam Kolt Lennart Heim Markus Anderljung 13 31 0 23 Jan 2024
What's my role? Modelling responsibility for AI-based safety-critical systems Philippa Ryan Zoe Porter Joanna Al-Qaddoumi J. McDermid Ibrahim Habli 26 1 0 30 Dec 2023
Trust, Accountability, and Autonomy in Knowledge Graph-based AI for Self-determination Luis-Daniel Ibánez J. Domingue Sabrina Kirrane O. Seneviratne Aisling Third Maria-Esther Vidal 20 2 0 30 Oct 2023
Moral Responsibility for AI Systems Sander Beckers 8 3 0 27 Oct 2023
The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice Fernando Delgado Stephen Yang Michael A. Madaio Qian Yang 71 100 0 02 Oct 2023
Unravelling Responsibility for AI Zoe Porter P. Conmy Phillip Morgan Joanna Al-Qaddoumi Bernard Twomey Paul Noordhof J. McDermid Ibrahim Habli 34 1 0 04 Aug 2023
Machine Learning practices and infrastructures G. Berman 10 3 0 13 Jul 2023
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey Farhad Pourpanah Ali Etemad 16 2 0 22 Jun 2023
Going public: the role of public participation approaches in commercial AI labs Lara Groves Aidan Peppin A. Strait Jenny Brennan 10 26 0 16 Jun 2023
Survey of Trustworthy AI: A Meta Decision of AI Caesar Wu Yuan-Fang Li Pascal Bouvry 8 3 0 01 Jun 2023
Human adaptation to adaptive machines converges to game-theoretic equilibria Benjamin J. Chasnov Lillian J. Ratliff Samuel A. Burden 6 3 0 01 May 2023
Implementing Responsible AI: Tensions and Trade-Offs Between Ethics Aspects Conrad Sanderson David M. Douglas Qinghua Lu 35 11 0 17 Apr 2023
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm Gabriel Lima Nina Grgić-Hlavca M. Cha 21 26 0 05 Apr 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
Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification A. Feder Cooper Katherine Lee Madiha Zahrah Choksi Solon Barocas Chris De Sa James Grimmelmann Jon M. Kleinberg Siddhartha Sen Baobao Zhang FaML 11 26 0 27 Jan 2023
Evaluation Beyond Task Performance: Analyzing Concepts in AlphaZero in Hex Charles Lovering Jessica Zosa Forde G. Konidaris Ellie Pavlick Michael L. Littman 11 7 0 26 Nov 2022
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 13 2 0 08 Nov 2022
Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems Thomas E. Doyle Victoria Tucci Calvin Zhu Yifei Zhang Basem Yassa Sajjad Rashidiani Md Asif Khan Reza Samavi Michael Noseworthy S. Yule 18 1 0 14 Oct 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 34 188 0 11 Oct 2022
From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML Shalaleh Rismani Renee Shelby A. Smart Edgar W. Jatho Joshua A. Kroll AJung Moon Negar Rostamzadeh 27 36 0 06 Oct 2022
Adversarial Scrutiny of Evidentiary Statistical Software Rediet Abebe Moritz Hardt Angela Jin John Miller Ludwig Schmidt Rebecca Wexler 28 5 0 19 Jun 2022
Multi-Objective Hyperparameter Optimization in Machine Learning -- An Overview Florian Karl Tobias Pielok Julia Moosbauer Florian Pfisterer Stefan Coors ... Jakob Richter Michel Lang Eduardo C. Garrido-Merchán Juergen Branke B. Bischl AI4CE 26 56 0 15 Jun 2022
Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems Joshua A. Kroll 76 52 0 23 Jan 2021