Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare

29 November 2022

Papers citing "Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare"

18 / 18 papers shown

Title
Trust, Professional Vision and Diagnostic Work M. Rouncefield Rob Procter P. Tolmie 26 2 0 19 May 2022
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 128 499 0 03 Feb 2021
Expanding Explainability: Towards Social Transparency in AI systems Upol Ehsan Q. V. Liao Michael J. Muller Mark O. Riedl Justin D. Weisz 76 402 0 12 Jan 2021
Detection of data drift and outliers affecting machine learning model performance over time Samuel Ackerman E. Farchi Orna Raz Marcel Zalmanovici Parijat Dube 55 42 0 16 Dec 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 62 56 0 14 Aug 2020
The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies A. Markus J. Kors P. Rijnbeek 85 466 0 31 Jul 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 155 603 0 16 Jun 2020
Explainable deep learning models in medical image analysis Amitojdeep Singh S. Sengupta Vasudevan Lakshminarayanan XAI 92 492 0 28 May 2020
Trustworthy AI Jeannette M. Wing 60 220 0 14 Feb 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences Q. V. Liao D. Gruen Sarah Miller 127 720 0 08 Jan 2020
Understanding artificial intelligence ethics and safety David Leslie FaML AI4TS 55 360 0 11 Jun 2019
Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes Qian Yang Aaron Steinfeld John Zimmerman 49 237 0 21 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 104 403 0 08 Feb 2019
Explaining Explanations in AI Brent Mittelstadt Chris Russell Sandra Wachter XAI 99 667 0 04 Nov 2018
Techniques for Interpretable Machine Learning Mengnan Du Ninghao Liu Xia Hu FaML 82 1,091 0 31 Jul 2018
Open the Black Box Data-Driven Explanation of Black Box Decision Systems D. Pedreschi F. Giannotti Riccardo Guidotti A. Monreale Luca Pappalardo Salvatore Ruggieri Franco Turini 106 38 0 26 Jun 2018
Multiple Instance Learning for Heterogeneous Images: Training a CNN for Histopathology Heather D. Couture J. S. Marron C. Perou M. Troester Marc Niethammer 3DH 58 61 0 13 Jun 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 129 3,967 0 06 Feb 2018