Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability

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Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability

13 October 2023

Md. Tanzib Hosain

Md. Mehedi Hasan Anik

Khaleque Insi̇a

Md. Mehrab Siddiky

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Papers citing "Path To Gain Functional Transparency In Artificial Intelligence With Meaningful Explainability"

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Title
Data Cards: Purposeful and Transparent Dataset Documentation for Responsible AI Mahima Pushkarna Andrew Zaldivar Oddur Kjartansson AI4TS 106 221 0 03 Apr 2022
A framework for fostering transparency in shared artificial intelligence models by increasing visibility of contributions I. Barclay Harrison Taylor Alun D. Preece Ian J. Taylor D. Verma Geeth de Mel 60 13 0 05 Mar 2021
Expanding Explainability: Towards Social Transparency in AI systems Upol Ehsan Q. V. Liao Michael J. Muller Mark O. Riedl Justin D. Weisz 89 408 0 12 Jan 2021
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty Umang Bhatt Javier Antorán Yunfeng Zhang Q. V. Liao P. Sattigeri ... L. Nachman R. Chunara Madhulika Srikumar Adrian Weller Alice Xiang 123 252 0 15 Nov 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 179 606 0 16 Jun 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 162 6,340 0 22 Oct 2019
Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI Dakuo Wang Justin D. Weisz Michael J. Muller Parikshit Ram Werner Geyer Casey Dugan Y. Tausczik Horst Samulowitz Alexander G. Gray 228 314 0 05 Sep 2019
European Union regulations on algorithmic decision-making and a "right to explanation" B. Goodman Seth Flaxman FaML AILaw 79 1,904 0 28 Jun 2016