What Does Explainable AI Really Mean? A New Conceptualization of Perspectives

2 October 2017

Papers citing "What Does Explainable AI Really Mean? A New Conceptualization of Perspectives"

38 / 38 papers shown

Title
Actionable AI: Enabling Non Experts to Understand and Configure AI Systems Cécile Boulard Sruthi Viswanathan Wanda Fey Thierry Jacquin 52 0 0 09 Mar 2025
A Mechanistic Explanatory Strategy for XAI Marcin Rabiza 59 1 0 02 Nov 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 80 28 0 30 Aug 2024
On the Value of Labeled Data and Symbolic Methods for Hidden Neuron Activation Analysis Abhilekha Dalal R. Rayan Adrita Barua Eugene Y. Vasserman Md Kamruzzaman Sarker Pascal Hitzler 30 4 0 21 Apr 2024
`It is currently hodgepodge'': Examining AI/ML Practitioners' Challenges during Co-production of Responsible AI Values R. Varanasi Nitesh Goyal 37 46 0 14 Jul 2023
Energy-frugal and Interpretable AI Hardware Design using Learning Automata R. Shafik Tousif Rahman A. Wheeldon Ole-Christoffer Granmo Alex Yakovlev 12 0 0 19 May 2023
Assisting clinical practice with fuzzy probabilistic decision trees Emma L. Ambags G. Capitoli Vincenzo L' Imperio M. Provenzano M. S. Nobile Pietro Lio 6 3 0 16 Apr 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey Ehsan Emamirad Pouya Ghiasnezhad Omran A. Haller S. Gregor 31 1 0 06 Mar 2023
Understanding User Preferences in Explainable Artificial Intelligence: A Survey and a Mapping Function Proposal M. Hashemi Ali Darejeh Francisco Cruz 40 3 0 07 Feb 2023
Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations Maximilian Schlüter Gerrit Nolte Alnis Murtovi Bernhard Steffen 29 6 0 19 Jan 2023
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 32 28 0 26 Sep 2022
Understandable Robots Shikhar Kumar 16 13 0 22 Sep 2022
A Gaze into the Internal Logic of Graph Neural Networks, with Logic Paul Tarau NAI 21 2 0 05 Aug 2022
Why we do need Explainable AI for Healthcare Giovanni Cina Tabea E. Rober Rob Goedhart Ilker Birbil 32 14 0 30 Jun 2022
On scientific understanding with artificial intelligence Mario Krenn R. Pollice S. Guo Matteo Aldeghi Alba Cervera-Lierta ... Florian Hase A. Jinich AkshatKumar Nigam Zhenpeng Yao Alán Aspuru-Guzik 35 186 0 04 Apr 2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications Jovze M. Rovzanec I. Novalija Patrik Zajec K. Kenda Hooman Tavakoli ... G. Sofianidis Spyros Theodoropoulos Blavz Fortuna Dunja Mladenić John Soldatos 3DV AI4CE 38 121 0 21 Mar 2022
A Practical guide on Explainable AI Techniques applied on Biomedical use case applications Adrien Bennetot Ivan Donadello Ayoub El Qadi M. Dragoni Thomas Frossard ... M. Trocan Raja Chatila Andreas Holzinger Artur Garcez Natalia Díaz Rodríguez XAI 32 7 0 13 Nov 2021
Trustworthy AI and Robotics and the Implications for the AEC Industry: A Systematic Literature Review and Future Potentials Newsha Emaminejad Reza Akhavian 28 48 0 27 Sep 2021
OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild Trung-Nghia Le H. Nguyen Junichi Yamagishi Isao Echizen AAML 39 59 0 30 Jul 2021
Semantic Reasoning from Model-Agnostic Explanations Timen Stepisnik Perdih Nada Lavrac Blaž Škrlj LRM 25 4 0 29 Jun 2021
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods E. Amparore Alan Perotti P. Bajardi FAtt 30 68 0 01 Jun 2021
Explainable Machine Learning with Prior Knowledge: An Overview Katharina Beckh Sebastian Müller Matthias Jakobs Vanessa Toborek Hanxiao Tan Raphael Fischer Pascal Welke Sebastian Houben Laura von Rueden XAI 22 28 0 21 May 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 47 176 0 07 Mar 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 68 415 0 15 Feb 2021
Improving 3D convolutional neural network comprehensibility via interactive visualization of relevance maps: Evaluation in Alzheimer's disease M. Dyrba Moritz Hanzig S. Altenstein Sebastian Bader Tommaso Ballarini ... B. Ertl-Wagner M. Wagner J. Wiltfang F. Jessen S. Teipel FAtt MedIm 47 51 0 18 Dec 2020
Sequential Explanations with Mental Model-Based Policies A. Yeung Shalmali Joshi Joseph Jay Williams Frank Rudzicz FAtt LRM 31 15 0 17 Jul 2020
When stakes are high: balancing accuracy and transparency with Model-Agnostic Interpretable Data-driven suRRogates Roel Henckaerts Katrien Antonio Marie-Pier Côté 23 3 0 14 Jul 2020
Data-Driven Game Development: Ethical Considerations M. S. El-Nasr Erica Kleinman 6 22 0 18 Jun 2020
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey Arun Das P. Rad XAI 42 593 0 16 Jun 2020
An Investigation of COVID-19 Spreading Factors with Explainable AI Techniques Xiuyi Fan Siyuan Liu Jiarong Chen T. Henderson 8 7 0 05 May 2020
Directions for Explainable Knowledge-Enabled Systems Shruthi Chari Daniel Gruen Oshani Seneviratne D. McGuinness XAI 16 32 0 17 Mar 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 37 6,119 0 22 Oct 2019
Explainability in Human-Agent Systems A. Rosenfeld A. Richardson XAI 27 203 0 17 Apr 2019
Stacked Penalized Logistic Regression for Selecting Views in Multi-View Learning Lingbing Guo M. Fokkema E. Cao M. Rooij 18 21 0 06 Nov 2018
Semantic bottleneck for computer vision tasks Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard 16 15 0 06 Nov 2018
Interpreting Embedding Models of Knowledge Bases: A Pedagogical Approach A. C. Gusmão Alvaro H. C. Correia Glauber De Bona Fabio Gagliardi Cozman 27 22 0 20 Jun 2018
Explanation Methods in Deep Learning: Users, Values, Concerns and Challenges Gabrielle Ras Marcel van Gerven W. Haselager XAI 17 217 0 20 Mar 2018
What do we need to build explainable AI systems for the medical domain? Andreas Holzinger Chris Biemann C. Pattichis D. Kell 28 679 0 28 Dec 2017