The Conflict Between Explainable and Accountable Decision-Making
Algorithms

The Conflict Between Explainable and Accountable Decision-Making Algorithms

11 May 2022

Nina Grgić-Hlavca

Papers citing "The Conflict Between Explainable and Accountable Decision-Making Algorithms"

14 / 14 papers shown

Title
Can AI Model the Complexities of Human Moral Decision-Making? A Qualitative Study of Kidney Allocation Decisions Vijay Keswani Vincent Conitzer Walter Sinnott-Armstrong Breanna K. Nguyen Hoda Heidari Jana Schaich Borg 36 0 0 02 Mar 2025
Are Explanations Helpful? A Comparative Analysis of Explainability Methods in Skin Lesion Classifiers Rosa Y. G. Paccotacya-Yanque Alceu Bissoto Sandra Avila FAtt 79 1 0 04 Dec 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 28 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 44 0 0 19 Apr 2024
Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective Haoyi Xiong Xuhong Li Xiaofei Zhang Jiamin Chen Xinhao Sun Yuchen Li Zeyi Sun Jundong Li XAI 40 8 0 09 Jan 2024
Mindful Explanations: Prevalence and Impact of Mind Attribution in XAI Research Susanne Hindennach Lei Shi Filip Miletić Andreas Bulling 10 4 0 19 Dec 2023
SoUnD Framework: Analyzing (So)cial Representation in (Un)structured (D)ata Mark Díaz Sunipa Dev Emily Reif Remi Denton Vinodkumar Prabhakaran 33 3 0 28 Nov 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. V. Liao J. Vaughan 38 158 0 02 Jun 2023
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm Gabriel Lima Nina Grgić-Hlavca M. Cha 28 26 0 05 Apr 2023
A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI Mohammad Tahaei Marios Constantinides Daniele Quercia Michael J. Muller AI4TS 54 8 0 10 Feb 2023
Algorithmic Assistance with Recommendation-Dependent Preferences Bryce Mclaughlin Jann Spiess 34 9 0 16 Aug 2022
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI Upol Ehsan Mark O. Riedl XAI SILM 59 58 0 26 Sep 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 68 415 0 15 Feb 2021
Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems Joshua A. Kroll 84 42 0 23 Jan 2021