Connecting Algorithmic Research and Usage Contexts: A Perspective of
Contextualized Evaluation for Explainable AI

Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI

22 June 2022

Finale Doshi-Velez

Amit Dhurandhar

Papers citing "Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI"

18 / 18 papers shown

Title
Study on the Helpfulness of Explainable Artificial Intelligence Tobias Labarta Elizaveta Kulicheva Ronja Froelian Christian Geißler Xenia Melman Julian von Klitzing ELM 33 0 0 14 Oct 2024
"Actually I Can Count My Blessings": User-Centered Design of an Application to Promote Gratitude Among Young Adults Ananya Bhattacharjee Zichen Gong Bingcheng Wang Timothy James Luckcock Emma Watson Elena Allica Abellan Leslie Gutman Anne S. Hsu Joseph Jay Williams 21 0 0 26 Apr 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification Amit Dhurandhar Swagatam Haldar Dennis L. Wei K. Ramamurthy FAtt 37 2 0 17 Feb 2024
Effects of Multimodal Explanations for Autonomous Driving on Driving Performance, Cognitive Load, Expertise, Confidence, and Trust Robert Kaufman Jean Costa Everlyne Kimani 64 7 0 08 Jan 2024
Understanding the Role of Large Language Models in Personalizing and Scaffolding Strategies to Combat Academic Procrastination Ananya Bhattacharjee Yuchen Zeng Sarah Yi Xu Dana Kulzhabayeva Minyi Ma ... A. Mariakakis Mary P Czerwinski Anastasia Kuzminykh Michael Liut Joseph Jay Williams AI4Ed 19 25 0 21 Dec 2023
Beyond XAI:Obstacles Towards Responsible AI Yulu Pi 34 2 0 07 Sep 2023
Situated Natural Language Explanations Zining Zhu Hao Jiang Jingfeng Yang Sreyashi Nag Chao Zhang Jie Huang Yifan Gao Frank Rudzicz Bing Yin LRM 44 1 0 27 Aug 2023
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI Ivania Donoso-Guzmán Jeroen Ooge Denis Parra K. Verbert 48 6 0 31 Jul 2023
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. V. Liao J. Vaughan 38 158 0 02 Jun 2023
Rethinking Model Evaluation as Narrowing the Socio-Technical Gap Q. V. Liao Ziang Xiao ALM ELM 47 29 0 01 Jun 2023
Explainability in AI Policies: A Critical Review of Communications, Reports, Regulations, and Standards in the EU, US, and UK L. Nannini Agathe Balayn A. Smith 21 37 0 20 Apr 2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals Greta Warren Markt. Keane Christophe Guéret Eoin Delaney 26 13 0 16 Mar 2023
Who's Thinking? A Push for Human-Centered Evaluation of LLMs using the XAI Playbook Teresa Datta John P. Dickerson 34 10 0 10 Mar 2023
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience Q. V. Liao Hariharan Subramonyam Jennifer Wang Jennifer Wortman Vaughan HAI 33 58 0 21 Feb 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations Valerie Chen Q. V. Liao Jennifer Wortman Vaughan Gagan Bansal 41 104 0 18 Jan 2023
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI Upol Ehsan Mark O. Riedl XAI SILM 59 58 0 26 Sep 2021
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations Sérgio Jesus Catarina Belém Vladimir Balayan João Bento Pedro Saleiro P. Bizarro João Gama 136 120 0 21 Jan 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 254 3,684 0 28 Feb 2017