From Explainable to Interactive AI: A Literature Review on Current
Trends in Human-AI Interaction

From Explainable to Interactive AI: A Literature Review on Current Trends in Human-AI Interaction

23 May 2024

Ioanna Lykourentzou

Vassilis-Javed Khan

Konstantinos Papangelis

Papers citing "From Explainable to Interactive AI: A Literature Review on Current Trends in Human-AI Interaction"

16 / 16 papers shown

Title
Advancing Human-AI Complementarity: The Impact of User Expertise and Algorithmic Tuning on Joint Decision Making K. Inkpen Shreya Chappidi Keri Mallari Besmira Nushi Divya Ramesh Pietro Michelucci Vani Mandava Libuvse Hannah Vepvrek Gabrielle Quinn 64 48 0 16 Aug 2022
CoAuthor: Designing a Human-AI Collaborative Writing Dataset for Exploring Language Model Capabilities Mina Lee Percy Liang Qian Yang HAI 73 373 0 18 Jan 2022
Transitioning to human interaction with AI systems: New challenges and opportunities for HCI professionals to enable human-centered AI Wei Xu Marvin Dainoff Liezhong Ge Zaifeng Gao 92 174 0 12 May 2021
Beyond Expertise and Roles: A Framework to Characterize the Stakeholders of Interpretable Machine Learning and their Needs Harini Suresh Steven R. Gomez K. Nam Arvind Satyanarayan 74 133 0 24 Jan 2021
Soliciting Human-in-the-Loop User Feedback for Interactive Machine Learning Reduces User Trust and Impressions of Model Accuracy Donald R. Honeycutt Mahsan Nourani Eric D. Ragan HAI 69 62 0 28 Aug 2020
Human-Centered Artificial Intelligence: Reliable, Safe & Trustworthy B. Shneiderman 58 701 0 10 Feb 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 121 6,269 0 22 Oct 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 98 1,447 0 17 Jul 2019
The What-If Tool: Interactive Probing of Machine Learning Models James Wexler Mahima Pushkarna Tolga Bolukbasi Martin Wattenberg F. Viégas Jimbo Wilson VLM 79 492 0 09 Jul 2019
VRGym: A Virtual Testbed for Physical and Interactive AI Xu Xie Hangxin Liu Zhenliang Zhang Yuxing Qiu Feng Gao Siyuan Qi Yixin Zhu Song-Chun Zhu 42 27 0 02 Apr 2019
Human-Centered Tools for Coping with Imperfect Algorithms during Medical Decision-Making Carrie J. Cai Emily Reif Narayan Hegde J. Hipp Been Kim ... Martin Wattenberg F. Viégas G. Corrado Martin C. Stumpe Michael Terry 101 403 0 08 Feb 2019
The Challenge of Crafting Intelligible Intelligence Daniel S. Weld Gagan Bansal 54 244 0 09 Mar 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 124 3,961 0 06 Feb 2018
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 288 2,264 0 24 Jun 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 210 2,894 0 14 Mar 2017
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 16,990 0 16 Feb 2016