The Who in XAI: How AI Background Shapes Perceptions of AI Explanations

28 July 2021

Papers citing "The Who in XAI: How AI Background Shapes Perceptions of AI Explanations"

48 / 48 papers shown

Title
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions Somayeh Molaei Lionel P. Robert Nikola Banovic 26 0 0 09 May 2025
Predicting Satisfaction of Counterfactual Explanations from Human Ratings of Explanatory Qualities M. Domnich Rasmus Moorits Veski Julius Valja Kadi Tulver Raul Vicente FAtt 40 0 0 07 Apr 2025
"Impressively Scary:" Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in Social Media Applications Jack West Bengisu Cagiltay Shirley Zhang Jingjie Li Kassem Fawaz Suman Banerjee 65 0 0 05 Mar 2025
Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-Checking Greta Warren Irina Shklovski Isabelle Augenstein OffRL 75 4 0 13 Feb 2025
Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies Sunnie S. Y. Kim J. Vaughan Q. V. Liao Tania Lombrozo Olga Russakovsky 99 5 0 12 Feb 2025
Evaluating the Influences of Explanation Style on Human-AI Reliance Emma Casolin Flora D. Salim Ben Newell 21 1 0 26 Oct 2024
Towards User-Focused Research in Training Data Attribution for Human-Centered Explainable AI Elisa Nguyen Johannes Bertram Evgenii Kortukov Jean Y. Song Seong Joon Oh TDI 374 2 0 25 Sep 2024
The Great AI Witch Hunt: Reviewers Perception and (Mis)Conception of Generative AI in Research Writing Hilda Hadan Derrick M. Wang Reza Hadi Mogavi Joseph Tu Leah Zhang-Kennedy Lennart E. Nacke 36 7 0 27 Jun 2024
Scenarios and Approaches for Situated Natural Language Explanations Pengshuo Qiu Frank Rudzicz Zining Zhu LRM 38 0 0 07 Jun 2024
Resistance Against Manipulative AI: key factors and possible actions Piotr Wilczyñski Wiktoria Mieleszczenko-Kowszewicz P. Biecek 37 3 0 22 Apr 2024
Exploring Practitioner Perspectives On Training Data Attribution Explanations Elisa Nguyen Evgenii Kortukov Jean Y. Song Seong Joon Oh TDI 381 1 0 31 Oct 2023
May I Ask a Follow-up Question? Understanding the Benefits of Conversations in Neural Network Explainability Tong Zhang X. J. Yang Boyang Albert Li 23 3 0 25 Sep 2023
Science Communications for Explainable Artificial Intelligence Simon Hudson Matija Franklin 17 0 0 31 Aug 2023
Explaining the Arts: Toward a Framework for Matching Creative Tasks with Appropriate Explanation Mediums M. Clemens 19 3 0 18 Aug 2023
The Co-12 Recipe for Evaluating Interpretable Part-Prototype Image Classifiers Meike Nauta Christin Seifert 31 11 0 26 Jul 2023
Identifying Explanation Needs of End-users: Applying and Extending the XAI Question Bank Lars Sipos Ulrike Schäfer Katrin Glinka Claudia Muller-Birn 22 7 0 18 Jul 2023
`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Values R. Varanasi Nitesh Goyal 31 46 0 14 Jul 2023
Unjustified Sample Sizes and Generalizations in Explainable AI Research: Principles for More Inclusive User Studies Uwe Peters Mary Carman ELM 27 1 0 08 May 2023
Towards Feminist Intersectional XAI: From Explainability to Response-Ability Goda Klumbytė Hannah Piehl Claude Draude 22 3 0 05 May 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 19 37 0 20 Apr 2023
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm Gabriel Lima Nina Grgić-Hlavca M. Cha 23 26 0 05 Apr 2023
XAIR: A Framework of Explainable AI in Augmented Reality Xuhai Xu Anna Yu Tanya R. Jonker Kashyap Todi Feiyu Lu ... Narine Kokhlikyan Fulton Wang P. Sorenson Sophie Kahyun Kim Hrvoje Benko 31 49 0 28 Mar 2023
Helpful, Misleading or Confusing: How Humans Perceive Fundamental Building Blocks of Artificial Intelligence Explanations E. Small Yueqing Xuan Danula Hettiachchi Kacper Sokol 21 10 0 02 Mar 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Upol Ehsan Koustuv Saha M. D. Choudhury Mark O. Riedl 18 57 0 01 Feb 2023
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care Venkatesh Sivaraman L. Bukowski J. Levin J. Kahn Adam Perer 27 81 0 31 Jan 2023
Selective Explanations: Leveraging Human Input to Align Explainable AI Vivian Lai Yiming Zhang Chacha Chen Q. V. Liao Chenhao Tan 18 43 0 23 Jan 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 38 104 0 18 Jan 2023
Social Construction of XAI: Do We Need One Definition to Rule Them All? Upol Ehsan Mark O. Riedl 9 8 0 11 Nov 2022
The Influence of Explainable Artificial Intelligence: Nudging Behaviour or Boosting Capability? Matija Franklin TDI 21 1 0 05 Oct 2022
On the Influence of Cognitive Styles on Users' Understanding of Explanations Lara Riefle Patrick Hemmer Carina Benz Michael Vossing Jannik Pries 18 5 0 05 Oct 2022
A Mixed-Methods Analysis of the Algorithm-Mediated Labor of Online Food Deliverers in China Zhilong Chen Xiaochong Lan J. Piao Yunke Zhang Yong Li 23 9 0 09 Aug 2022
Humans are not Boltzmann Distributions: Challenges and Opportunities for Modelling Human Feedback and Interaction in Reinforcement Learning David Lindner Mennatallah El-Assady OffRL 25 16 0 27 Jun 2022
Mediators: Conversational Agents Explaining NLP Model Behavior Nils Feldhus A. Ravichandran Sebastian Möller 27 16 0 13 Jun 2022
Think About the Stakeholders First! Towards an Algorithmic Transparency Playbook for Regulatory Compliance Andrew Bell O. Nov Julia Stoyanovich 27 26 0 10 Jun 2022
The Conflict Between Explainable and Accountable Decision-Making Algorithms Gabriel Lima Nina Grgić-Hlavca Jin Keun Jeong M. Cha 11 37 0 11 May 2022
Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory Harmanpreet Kaur Eytan Adar Eric Gilbert Cliff Lampe 8 59 0 10 May 2022
Let's Go to the Alien Zoo: Introducing an Experimental Framework to Study Usability of Counterfactual Explanations for Machine Learning Ulrike Kuhl André Artelt Barbara Hammer 27 17 0 06 May 2022
Tell Me Something That Will Help Me Trust You: A Survey of Trust Calibration in Human-Agent Interaction G. Cancro Shimei Pan James R. Foulds 23 2 0 06 May 2022
The Risks of Machine Learning Systems Samson Tan Araz Taeihagh K. Baxter 4 5 0 21 Apr 2022
Human Interpretation of Saliency-based Explanation Over Text Hendrik Schuff Alon Jacovi Heike Adel Yoav Goldberg Ngoc Thang Vu MILM XAI FAtt 144 39 0 27 Jan 2022
Diagnosing AI Explanation Methods with Folk Concepts of Behavior Alon Jacovi Jasmijn Bastings Sebastian Gehrmann Yoav Goldberg Katja Filippova 36 15 0 27 Jan 2022
Explainability Pitfalls: Beyond Dark Patterns in Explainable AI Upol Ehsan Mark O. Riedl XAI SILM 56 58 0 26 Sep 2021
Explainable Activity Recognition for Smart Home Systems Devleena Das Yasutaka Nishimura R. Vivek Naoto Takeda Sean T. Fish Thomas Ploetz Sonia Chernova 20 40 0 20 May 2021
Trust in Data Science: Collaboration, Translation, and Accountability in Corporate Data Science Projects Samir Passi S. Jackson 168 108 0 09 Feb 2020
Data Vision: Learning to See Through Algorithmic Abstraction Samir Passi S. Jackson 137 111 0 09 Feb 2020
How to Support Users in Understanding Intelligent Systems? Structuring the Discussion Malin Eiband Daniel Buschek H. Hussmann 39 28 0 22 Jan 2020
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,923 0 17 Aug 2015