Towards Explainable Artificial Intelligence (XAI): A Data Mining
Perspective

Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective

9 January 2024

Haoyi Xiong

Papers citing "Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective"

12 / 12 papers shown

Title
When Search Engine Services meet Large Language Models: Visions and Challenges Haoyi Xiong Jiang Bian Yuchen Li Xuhong Li Mengnan Du Shuaiqiang Wang Dawei Yin Sumi Helal 38 28 0 28 Jun 2024
Sample based Explanations via Generalized Representers Che-Ping Tsai Chih-Kuan Yeh Pradeep Ravikumar FAtt 31 8 0 27 Oct 2023
Cross-Institutional Transfer Learning for Educational Models: Implications for Model Performance, Fairness, and Equity Joshua Gardner Renzhe Yu Quan Nguyen Christopher A. Brooks René F. Kizilcec FedML 27 14 0 01 May 2023
Concept Activation Regions: A Generalized Framework For Concept-Based Explanations Jonathan Crabbé M. Schaar 48 46 0 22 Sep 2022
Data Banzhaf: A Robust Data Valuation Framework for Machine Learning Jiachen T. Wang R. Jia FedML TDI 44 52 0 30 May 2022
How Different Groups Prioritize Ethical Values for Responsible AI Maurice Jakesch Zana Buçinca Saleema Amershi Alexandra Olteanu 31 94 0 16 May 2022
Healthsheet: Development of a Transparency Artifact for Health Datasets Negar Rostamzadeh Diana Mincu Subhrajit Roy A. Smart Lauren Wilcox Mahima Pushkarna Jessica Schrouff Razvan Amironesei Nyalleng Moorosi Katherine A. Heller 27 61 0 26 Feb 2022
Simulation Intelligence: Towards a New Generation of Scientific Methods Alexander Lavin D. Krakauer Hector Zenil Justin Emile Gottschlich Tim Mattson ... A. Hanuka Manuela Veloso Samuel A. Assefa Stephan Zheng Avi Pfeffer 40 102 0 06 Dec 2021
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 55 112 0 06 Dec 2021
Outlining Traceability: A Principle for Operationalizing Accountability in Computing Systems Joshua A. Kroll 68 42 0 23 Jan 2021
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 205 663 0 17 Feb 2018
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 219 3,658 0 28 Feb 2017