The relationship between trust in AI and trustworthy machine learning technologies

27 November 2019

Ehsan Toreini

Mhairi Aitken

Kovila P. L. Coopamootoo

Karen Elliott

Carlos Vladimiro Gonzalez Zelaya

Aad van Moorsel

FaML

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Papers citing "The relationship between trust in AI and trustworthy machine learning technologies"

36 / 36 papers shown

Title
Human-AI Governance (HAIG): A Trust-Utility Approach Zeynep Engin 49 1 0 03 May 2025
Mapping Trustworthiness in Large Language Models: A Bibliometric Analysis Bridging Theory to Practice José Antonio Siqueira de Cerqueira Kai-Kristian Kemell Muhammad Waseem Rebekah Rousi Nannan Xi Juho Hamari 149 3 0 27 Feb 2025
Verification and Validation for Trustworthy Scientific Machine Learning John D. Jakeman Lorena A. Barba J. Martins Thomas O'Leary-Roseberry AI4CE 65 0 0 21 Feb 2025
A Survey of Controllable Learning: Methods and Applications in Information Retrieval Chenglei Shen Xiao Zhang Teng Shi Changshuo Zhang Guofu Xie Jun Xu 76 5 0 03 Jan 2025
A Mathematical Model of the Hidden Feedback Loop Effect in Machine Learning Systems Andrey Veprikov Alexander Afanasiev Anton Khritankov 45 2 0 04 May 2024
Interrogating AI: Characterizing Emergent Playful Interactions with ChatGPT Mohammad Ronagh Nikghalb Jinghui Cheng 33 1 0 16 Jan 2024
Trust, distrust, and appropriate reliance in (X)AI: a survey of empirical evaluation of user trust Roel W. Visser Tobias M. Peters Ingrid Scharlau Barbara Hammer 29 5 0 04 Dec 2023
Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System Jiwei Guan Lei Pan Chen Wang Shui Yu Longxiang Gao Xi Zheng AAML 24 3 0 30 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 38 12 0 15 May 2023
VR-LENS: Super Learning-based Cybersickness Detection and Explainable AI-Guided Deployment in Virtual Reality Ripan Kumar Kundu Osama Yahia Elsaid Prasad Calyam K. A. Hoque 34 10 0 03 Feb 2023
Fiduciary Responsibility: Facilitating Public Trust in Automated Decision Making Shannon B. Harper Eric S. Weber 39 0 0 06 Jan 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 26 160 0 22 Dec 2022
"Explain it in the Same Way!" -- Model-Agnostic Group Fairness of Counterfactual Explanations André Artelt Barbara Hammer FaML 33 8 0 27 Nov 2022
TruVR: Trustworthy Cybersickness Detection using Explainable Machine Learning Ripan Kumar Kundu Rifatul Islam Prasad Calyam K. A. Hoque 26 8 0 12 Sep 2022
Towards Trustworthy Edge Intelligence: Insights from Voice-Activated Services W. Hutiri Aaron Yi Ding 30 4 0 20 Jun 2022
Towards Explainable Metaheuristic: Mining Surrogate Fitness Models for Importance of Variables Manjinder Singh Alexander E. I. Brownlee David Cairns 19 12 0 31 May 2022
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations Jessica Dai Sohini Upadhyay Ulrich Aïvodji Stephen H. Bach Himabindu Lakkaraju 53 57 0 15 May 2022
Designing for Responsible Trust in AI Systems: A Communication Perspective Q. V. Liao S. Sundar 27 100 0 29 Apr 2022
Designing Trustworthy User Interfaces for the Voluntary Carbon Market: A Randomized Online Experiment Klaudia Guzij Michael Fröhlich Florian Fincke A. Schmidt Florian Alt 35 1 0 22 Apr 2022
Design Guidelines for Inclusive Speaker Verification Evaluation Datasets W. Hutiri Lauriane Gorce Aaron Yi Ding 24 7 0 05 Apr 2022
Towards Explainable Evaluation Metrics for Natural Language Generation Christoph Leiter Piyawat Lertvittayakumjorn M. Fomicheva Wei Zhao Yang Gao Steffen Eger AAML ELM 40 20 0 21 Mar 2022
Trust in AI and Implications for the AEC Research: A Literature Analysis Newsha Emaminejad Alexander North Reza Akhavian 32 14 0 08 Mar 2022
Contextual Intelligent Decisions: Expert Moderation of Machine Outputs for Fair Assessment of Commercial Driving J. M. Mase Direnc Pekaslan Utkarsh Agrawal M. Mesgarpour P. Chapman Mercedes Torres Torres Grazziela Figueredo 25 3 0 20 Feb 2022
The Response Shift Paradigm to Quantify Human Trust in AI Recommendations A. Shafti Victoria Derks Hannah Kay Aldo A. Faisal 22 7 0 16 Feb 2022
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient Max W. Shen 32 18 0 10 Feb 2022
A Survey on AI Assurance Feras A. Batarseh Laura J. Freeman 36 65 0 15 Nov 2021
Building Legal Datasets Jerrold Soh ELM AILaw 45 3 0 03 Nov 2021
Learning to run a power network with trust Antoine Marot Benjamin Donnot Karim Chaouache Ying-Ling Lu Qiuhua Huang Ramij-Raja Hossain J. Cremer 30 30 0 21 Oct 2021
The Eval4NLP Shared Task on Explainable Quality Estimation: Overview and Results M. Fomicheva Piyawat Lertvittayakumjorn Wei Zhao Steffen Eger Yang Gao ELM 24 39 0 08 Oct 2021
Trustworthy AI: From Principles to Practices Bo Li Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 121 357 0 04 Oct 2021
Explanation-Based Human Debugging of NLP Models: A Survey Piyawat Lertvittayakumjorn Francesca Toni LRM 47 79 0 30 Apr 2021
A Series of Unfortunate Counterfactual Events: the Role of Time in Counterfactual Explanations Andrea Ferrario M. Loi 25 5 0 09 Oct 2020
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 46 62 0 11 Sep 2020
Simulating the Effects of Social Presence on Trust, Privacy Concerns & Usage Intentions in Automated Bots for Finance Magdalene Ng Kovila P. L. Coopamootoo Ehsan Toreini Mhairi Aitken Karen Elliott Aad van Moorsel 8 40 0 27 Jun 2020
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
A statistical framework for fair predictive algorithms K. Lum J. Johndrow FaML 179 105 0 25 Oct 2016