Questioning the AI: Informing Design Practices for Explainable AI User Experiences

8 January 2020

Papers citing "Questioning the AI: Informing Design Practices for Explainable AI User Experiences"

50 / 240 papers shown

Title
AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap Q. V. Liao J. Vaughan 36 158 0 02 Jun 2023
Rethinking Model Evaluation as Narrowing the Socio-Technical Gap Q. V. Liao Ziang Xiao ALM ELM 43 28 0 01 Jun 2023
EvIcon: Designing High-Usability Icon with Human-in-the-loop Exploration and IconCLIP I-Chao Shen Fu-Yin Cherng Takeo Igarashi Wen-Chieh Lin Bing-Yu Chen 15 3 0 28 May 2023
Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System Mouadh Guesmi Mohamed Amine Chatti Shoeb Joarder Qurat Ul Ain Clara Siepmann Hoda Ghanbarzadeh R. Alatrash 22 8 0 26 May 2023
Revealing User Familiarity Bias in Task-Oriented Dialogue via Interactive Evaluation Takyoung Kim Jamin Shin Young-Ho Kim Sanghwan Bae Sungdong Kim 36 1 0 23 May 2023
Visualization for Recommendation Explainability: A Survey and New Perspectives Mohamed Amine Chatti Mouadh Guesmi Arham Muslim XAI HAI LRM 17 5 0 19 May 2023
Investigating and Designing for Trust in AI-powered Code Generation Tools Ruotong Wang Ruijia Cheng Denae Ford Thomas Zimmermann 27 43 0 18 May 2023
ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing Hua Shen Huang Chieh-Yang Tongshuang Wu Ting-Hao 'Kenneth' Huang 13 37 0 16 May 2023
Certification Labels for Trustworthy AI: Insights From an Empirical Mixed-Method Study Nicolas Scharowski Michaela Benk S. J. Kühne Léane Wettstein Florian Brühlmann 13 12 0 15 May 2023
Why Don't You Do Something About It? Outlining Connections between AI Explanations and User Actions Gennie Mansi Mark O. Riedl 20 5 0 10 May 2023
Technical Understanding from IML Hands-on Experience: A Study through a Public Event for Science Museum Visitors Wataru Kawabe Yuri Nakao Akihisa Shitara Yusuke Sugano 16 1 0 10 May 2023
Towards a Praxis for Intercultural Ethics in Explainable AI Chinasa T. Okolo 26 2 0 24 Apr 2023
"HOT" ChatGPT: The promise of ChatGPT in detecting and discriminating hateful, offensive, and toxic comments on social media Lingyao Li Lizhou Fan Shubham Atreja Libby Hemphill AI4MH 34 83 0 20 Apr 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 6 37 0 20 Apr 2023
CoAIcoder: Examining the Effectiveness of AI-assisted Human-to-Human Collaboration in Qualitative Analysis Jie Ying Gao K. T. W. Choo Junming Cao Roy Ka-Wei Lee S. Perrault 6 31 0 12 Apr 2023
"It's Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers James Prather B. Reeves Paul Denny Brett A. Becker Juho Leinonen Andrew Luxton-Reilly Garrett B. Powell James Finnie-Ansley E. Santos 24 131 0 05 Apr 2023
A Brief Review of Explainable Artificial Intelligence in Healthcare Zahra Sadeghi R. Alizadehsani M. Cifci Samina Kausar Rizwan Rehman ... A. Shoeibi H. Moosaei Milan Hladík Saeid Nahavandi P. Pardalos 11 13 0 04 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 13 48 0 28 Mar 2023
IRIS: Interpretable Rubric-Informed Segmentation for Action Quality Assessment Hitoshi Matsuyama Nobuo Kawaguchi Brian Y. Lim 11 7 0 16 Mar 2023
Sensing Wellbeing in the Workplace, Why and For Whom? Envisioning Impacts with Organizational Stakeholders Anna Kawakami Shreyans Chowdhary Shamsi T. Iqbal Q. V. Liao Alexandra Olteanu J. Suh Koustuv Saha 30 30 0 13 Mar 2023
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction Zhijie Wang Yuheng Huang D. Song Lei Ma Tianyi Zhang HAI 51 5 0 02 Mar 2023
AutoML in The Wild: Obstacles, Workarounds, and Expectations Yuan Sun Qiurong Song Xinning Gui Fenglong Ma Ting Wang 11 13 0 21 Feb 2023
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations Aditya Bhattacharya Jeroen Ooge Gregor Stiglic K. Verbert 11 30 0 21 Feb 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 12 58 0 21 Feb 2023
Competent but Rigid: Identifying the Gap in Empowering AI to Participate Equally in Group Decision-Making Chengbo Zheng Yuheng Wu Chuhan Shi Shuai Ma Jiehui Luo Xiaojuan Ma 15 25 0 17 Feb 2023
On the Impact of Explanations on Understanding of Algorithmic Decision-Making Timothée Schmude Laura M. Koesten Torsten Moller Sebastian Tschiatschek 14 15 0 16 Feb 2023
Informing clinical assessment by contextualizing post-hoc explanations of risk prediction models in type-2 diabetes Shruthi Chari Prasanth Acharya Daniel Gruen Olivia R. Zhang Elif Eyigoz ... O. Seneviratne Fernando Jose Suarez Saiz Pablo Meyer Prithwish Chakraborty D. McGuinness 11 17 0 11 Feb 2023
A Systematic Literature Review of Human-Centered, Ethical, and Responsible AI Mohammad Tahaei Marios Constantinides Daniele Quercia Michael J. Muller AI4TS 38 7 0 10 Feb 2023
Five policy uses of algorithmic transparency and explainability Matthew R. O’Shaughnessy 26 0 0 06 Feb 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 16 56 0 01 Feb 2023
Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook Nur Yildirim Mahima Pushkarna Nitesh Goyal Martin Wattenberg Fernanda Viégas 21 66 0 28 Jan 2023
Selective Explanations: Leveraging Human Input to Align Explainable AI Vivian Lai Yiming Zhang Chacha Chen Q. V. Liao Chenhao Tan 11 42 0 23 Jan 2023
Toward General Design Principles for Generative AI Applications Justin D. Weisz Michael J. Muller Jessica He Stephanie Houde AI4CE 21 52 0 13 Jan 2023
Towards Reconciling Usability and Usefulness of Explainable AI Methodologies Pradyumna Tambwekar Matthew C. Gombolay 18 8 0 13 Jan 2023
On the Forces of Driver Distraction: Explainable Predictions for the Visual Demand of In-Vehicle Touchscreen Interactions Patrick Ebel Christoph Lingenfelder Andreas Vogelsang FAtt AAML 18 20 0 05 Jan 2023
Developing Responsible Chatbots for Financial Services: A Pattern-Oriented Responsible AI Engineering Approach Qinghua Lu Yuxiu Luo Liming Zhu Mingjian Tang Xiwei Xu Jon Whittle SILM 13 4 0 03 Jan 2023
Towards Better User Requirements: How to Involve Human Participants in XAI Research Thu Nguyen Jichen Zhu 11 3 0 06 Dec 2022
Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare Rob Procter P. Tolmie M. Rouncefield 11 31 0 29 Nov 2022
Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research Akm Bahalul Haque A. Najmul Islam Patrick Mikalef XAI 11 94 0 24 Nov 2022
Seamful XAI: Operationalizing Seamful Design in Explainable AI Upol Ehsan Q. V. Liao Samir Passi Mark O. Riedl Hal Daumé 22 19 0 12 Nov 2022
Behaviour Trees for Creating Conversational Explanation Experiences A. Wijekoon D. Corsar Nirmalie Wiratunga 20 3 0 11 Nov 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses Adnan Qayyum M. A. Butt Hassan Ali Muhammad Usman O. Halabi Ala I. Al-Fuqaha Q. Abbasi Muhammad Ali Imran Junaid Qadir 21 31 0 24 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie-jin Yang 19 10 0 17 Oct 2022
Mutual Theory of Mind for Human-AI Communication Qiaosi Wang Ashok K. Goel 14 9 0 07 Oct 2022
Why Should I Choose You? AutoXAI: A Framework for Selecting and Tuning eXplainable AI Solutions Robin Cugny Julien Aligon Max Chevalier G. Roman-Jimenez O. Teste 25 14 0 06 Oct 2022
From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML Shalaleh Rismani Renee Shelby A. Smart Edgar W. Jatho Joshua A. Kroll AJung Moon Negar Rostamzadeh 27 36 0 06 Oct 2022
On the Influence of Cognitive Styles on Users' Understanding of Explanations Lara Riefle Patrick Hemmer Carina Benz Michael Vossing Jannik Pries 11 5 0 05 Oct 2022
Requirements Engineering for Machine Learning: A Review and Reflection Zhong Pei Lin Liu Chen Wang Jianmin Wang VLM 22 22 0 03 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong A. Monroy-Hernández 14 107 0 02 Oct 2022
Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering Qinghua Lu Liming Zhu Xiwei Xu Jon Whittle Didar Zowghi Aurelie Jacquet AI4TS 41 55 0 12 Sep 2022