Rethinking Explainability as a Dialogue: A Practitioner's Perspective

Rethinking Explainability as a Dialogue: A Practitioner's Perspective

3 February 2022

Himabindu Lakkaraju

Papers citing "Rethinking Explainability as a Dialogue: A Practitioner's Perspective"

9 / 9 papers shown

Title
Can AI Mitigate Human Perceptual Biases? A Pilot Study Ross Geuy Nate Rising Tiancheng Shi Meng-Ying Ling Jian Chen 18 0 0 10 Oct 2023
InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations Nils Feldhus Qianli Wang Tatiana Anikina Sahil Chopra Cennet Oguz Sebastian Möller 24 9 0 09 Oct 2023
Situated Natural Language Explanations Zining Zhu Hao Jiang Jingfeng Yang Sreyashi Nag Chao Zhang Jie Huang Yifan Gao Frank Rudzicz Bing Yin LRM 32 1 0 27 Aug 2023
Reason to explain: Interactive contrastive explanations (REASONX) Laura State Salvatore Ruggieri Franco Turini LRM 22 1 0 29 May 2023
GLOBE-CE: A Translation-Based Approach for Global Counterfactual Explanations Dan Ley Saumitra Mishra Daniele Magazzeni LRM 28 16 0 26 May 2023
Solving NLP Problems through Human-System Collaboration: A Discussion-based Approach Masahiro Kaneko Graham Neubig Naoaki Okazaki 25 6 0 19 May 2023
Local and Regional Counterfactual Rules: Summarized and Robust Recourses Salim I. Amoukou Nicolas Brunel 8 0 0 29 Sep 2022
Mediators: Conversational Agents Explaining NLP Model Behavior Nils Feldhus A. Ravichandran Sebastian Möller 25 16 0 13 Jun 2022
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,672 0 28 Feb 2017