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Connecting the Dots in Trustworthy Artificial Intelligence: From AI
  Principles, Ethics, and Key Requirements to Responsible AI Systems and
  Regulation
v1v2 (latest)

Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation

Information Fusion (Inf. Fusion), 2023
2 May 2023
Natalia Díaz Rodríguez
Javier Del Ser
Mark Coeckelbergh
Marcos López de Prado
E. Herrera-Viedma
Francisco Herrera
    XAI
ArXiv (abs)PDFHTML

Papers citing "Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation"

39 / 39 papers shown
From monoliths to modules: Decomposing transducers for efficient world modelling
From monoliths to modules: Decomposing transducers for efficient world modelling
Alexander Boyd
Franz Nowak
David Hyland
Manuel Baltieri
Fernando Rosas
65
0
0
01 Dec 2025
An Adaptive Responsible AI Governance Framework for Decentralized Organizations
An Adaptive Responsible AI Governance Framework for Decentralized Organizations
Kiana Jafari Meimandi
Anka Reuel
Gabriela Aranguiz-Dias
Hatim Rahama
Ala-Eddine Ayadi
Xavier Boullier
Jérémy Verdo
Louis Montanie
Mykel J. Kochenderfer
100
1
0
03 Oct 2025
Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges
Responsible AI Adoption in the Public Sector: A Data-Centric Taxonomy of AI Adoption Challenges
Anastasija Nikiforova
Martin Lnenicka
Ulf Melin
David Valle-Cruz
Asif Gill
Cesar Casiano Flores
Emyana Sirait
Mariusz Luterek
Richard Michael Dreyling
Barbora Tesarova
77
0
0
29 Sep 2025
Structured AI Decision-Making in Disaster Management
Structured AI Decision-Making in Disaster ManagementScientific Reports (Sci Rep), 2025
Julian Gerald Dcruz
Argyrios Zolotas
Niall Ross Greenwood
Miguel Arana-Catania
127
0
0
01 Sep 2025
Never Compromise to Vulnerabilities: A Comprehensive Survey on AI Governance
Never Compromise to Vulnerabilities: A Comprehensive Survey on AI Governance
Yuchu Jiang
Jian Zhao
Yuchen Yuan
Tianle Zhang
Yao Huang
...
Ya Zhang
Shuicheng Yan
Chi Zhang
Z. He
Xuelong Li
SILM
460
3
0
12 Aug 2025
TechOps: Technical Documentation Templates for the AI Act
TechOps: Technical Documentation Templates for the AI Act
Laura Lucaj
Alex Loosley
Hakan Jonsson
Urs Gasser
Patrick van der Smagt
76
1
0
12 Aug 2025
Multimodal Attention-Aware Fusion for Diagnosing Distal Myopathy: Evaluating Model Interpretability and Clinician Trust
Multimodal Attention-Aware Fusion for Diagnosing Distal Myopathy: Evaluating Model Interpretability and Clinician Trust
Mohsen Abbaspour Onari
Lucie Charlotte Magister
Yaoxin Wu
Amalia Lupi
Dario Creazzo
...
Chao Zhang
Isel Grau
M. S. Nobile
Yingqian Zhang
Pietro Lio
155
0
0
02 Aug 2025
Challenges of Trustworthy Federated Learning: What's Done, Current Trends and Remaining Work
Challenges of Trustworthy Federated Learning: What's Done, Current Trends and Remaining Work
Nuria Rodríguez-Barroso
Mario García-Márquez
M. V. Luzón
Francisco Herrera
FedML
159
3
0
21 Jul 2025
Artificial Intelligence for Atmospheric Sciences: A Research Roadmap
Artificial Intelligence for Atmospheric Sciences: A Research Roadmap
Martha Arbayani Zaidan
Naser Hossein Motlagh
Petteri Nurmi
Tareq Hussein
Markku Kulmala
Tuukka Petäjä
Sasu Tarkoma
AI4CE
192
1
0
19 Jun 2025
Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs
Engineering Trustworthy Machine-Learning Operations with Zero-Knowledge Proofs
Filippo Scaramuzza
Giovanni Quattrocchi
Damian A. Tamburri
187
3
0
26 May 2025
Aligning Trustworthy AI with Democracy: A Dual Taxonomy of Opportunities and Risks
Aligning Trustworthy AI with Democracy: A Dual Taxonomy of Opportunities and Risks
Oier Mentxaka
Natalia Díaz Rodríguez
Mark Coeckelbergh
Marcos López de Prado
Emilia Gómez
David Fernández Llorca
E. Herrera-Viedma
Francisco Herrera
157
0
0
19 May 2025
A Design Framework for operationalizing Trustworthy Artificial Intelligence in Healthcare: Requirements, Tradeoffs and Challenges for its Clinical Adoption
A Design Framework for operationalizing Trustworthy Artificial Intelligence in Healthcare: Requirements, Tradeoffs and Challenges for its Clinical AdoptionInformation Fusion (Inf. Fusion), 2025
Pedro A. Moreno-Sánchez
Javier Del Ser
Mark van Gils
Jussi Hernesniemi
129
2
0
27 Apr 2025
A Multimedia Analytics Model for the Foundation Model Era
A Multimedia Analytics Model for the Foundation Model Era
Marcel Worring
Jan Zahálka
Stef van den Elzen
M. T. Fischer
Daniel A. Keim
VGenHAI
424
2
0
08 Apr 2025
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness
Juliett Suárez Ferreira
Marija Slavkovik
Jorge Casillas
FaML
367
0
0
03 Apr 2025
World Models in Artificial Intelligence: Sensing, Learning, and Reasoning Like a Child
World Models in Artificial Intelligence: Sensing, Learning, and Reasoning Like a Child
Javier Del Ser
J. Lobo
Heimo Muller
Andreas Holzinger
SyDaLRM
176
3
0
19 Mar 2025
The Algorithmic State Architecture (ASA): An Integrated Framework for AI-Enabled Government
The Algorithmic State Architecture (ASA): An Integrated Framework for AI-Enabled Government
Zeynep Engin
Jon Crowcroft
David Hand
Philip Treleaven
354
4
0
11 Mar 2025
Privacy in Responsible AI: Approaches to Facial Recognition from Cloud Providers
Anna Elivanova
257
0
0
06 Mar 2025
Leveraging Intermediate Representations for Better Out-of-Distribution Detection
Leveraging Intermediate Representations for Better Out-of-Distribution Detection
Gianluca Guglielmo
Marc Masana
OODD
271
1
0
18 Feb 2025
Establishing and Evaluating Trustworthy AI: Overview and Research
  Challenges
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges
Dominik Kowald
S. Scher
Viktoria Pammer-Schindler
Peter Müllner
Kerstin Waxnegger
...
Andreas Truegler
Eduardo E. Veas
Roman Kern
Tomislav Nad
Simone Kopeinik
241
27
0
15 Nov 2024
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution Data
Aitor Martinez-Seras
Javier Del Ser
Alain Andres
Pablo García Bringas
Pablo Garcia-Bringas
OODD
272
0
0
07 Nov 2024
Standardization Trends on Safety and Trustworthiness Technology for
  Advanced AI
Standardization Trends on Safety and Trustworthiness Technology for Advanced AI
Jonghong Jeon
210
4
0
29 Oct 2024
Human-Centric eXplainable AI in Education
Human-Centric eXplainable AI in Education
Subhankar Maity
Aniket Deroy
ELM
134
8
0
18 Oct 2024
ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents
ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents
Ido Levy
Ben Wiesel
Sami Marreed
Alon Oved
Avi Yaeli
Segev Shlomov
LLMAG
600
48
0
09 Oct 2024
LLM-Agent-UMF: LLM-based Agent Unified Modeling Framework for Seamless Design of Multi Active/Passive Core-Agent Architectures
LLM-Agent-UMF: LLM-based Agent Unified Modeling Framework for Seamless Design of Multi Active/Passive Core-Agent ArchitecturesInformation Fusion (Inf. Fusion), 2024
Amine B. Hassouna
Hana Chaari
Ines Belhaj
LLMAG
360
1
0
17 Sep 2024
AI Governance in Higher Education: Case Studies of Guidance at Big Ten
  Universities
AI Governance in Higher Education: Case Studies of Guidance at Big Ten UniversitiesFuture Internet (FI), 2024
Chuhao Wu
He Zhang
John M. Carroll
192
30
0
03 Sep 2024
Comprehensive Equity Index (CEI): Definition and Application to Bias
  Evaluation in Biometrics
Comprehensive Equity Index (CEI): Definition and Application to Bias Evaluation in BiometricsInternational Conference on Pattern Recognition (ICPR), 2024
Imanol Solano
Alejandro Peña
Aythami Morales
Julian Fierrez
Ruben Tolosana
F. Zamora-Martínez
Javier San Agustin
231
3
0
03 Sep 2024
Integrating ESG and AI: A Comprehensive Responsible AI Assessment
  Framework
Integrating ESG and AI: A Comprehensive Responsible AI Assessment FrameworkAI and Ethics (AI & Ethics), 2024
Fei Yang
Harsha Perera
Yue Liu
Boming Xia
Qinghua Lu
Liming Zhu
Jessica Cairns
Moana Nottage
237
18
0
02 Aug 2024
Practical Guide for Causal Pathways and Sub-group Disparity Analysis
Practical Guide for Causal Pathways and Sub-group Disparity Analysis
Farnaz Kohankhaki
Shaina Raza
Oluwanifemi Bamgbose
D. Pandya
Elham Dolatabadi
CML
349
0
0
02 Jul 2024
Global AI Governance in Healthcare: A Cross-Jurisdictional Regulatory
  Analysis
Global AI Governance in Healthcare: A Cross-Jurisdictional Regulatory Analysis
Attrayee Chakraborty
M. Karhade
183
4
0
12 Jun 2024
Fairness-Aware Meta-Learning via Nash Bargaining
Fairness-Aware Meta-Learning via Nash Bargaining
Yi Zeng
Xuelin Yang
Li Chen
Cristian Canton Ferrer
Ming Jin
Michael I. Jordan
Ruoxi Jia
255
5
0
11 Jun 2024
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A
  Data-Morphology-based Counterfactual Generation Method for Trustworthy
  Artificial Intelligence
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence
José Daniel Pascual-Triana
Alberto Fernández
Javier Del Ser
Francisco Herrera
266
2
0
20 May 2024
FLEX: FLEXible Federated Learning Framework
FLEX: FLEXible Federated Learning Framework
Francisco Herrera
Daniel Jiménez-López
Alberto Argente-Garrido
Nuria Rodríguez Barroso
Cristina Zuheros
Ignacio Aguilera-Martos
Beatriz Bello
Mario García-Márquez
M. V. Luzón
298
10
0
09 Apr 2024
An Interpretable Client Decision Tree Aggregation process for Federated
  Learning
An Interpretable Client Decision Tree Aggregation process for Federated Learning
Alberto Argente-Garrido
Cristina Zuheros
M. V. Luzón
Francisco Herrera
FedML
205
7
0
03 Apr 2024
Connecting Algorithmic Fairness to Quality Dimensions in Machine
  Learning in Official Statistics and Survey Production
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production
Patrick Oliver Schenk
Christoph Kern
FaML
279
4
0
14 Feb 2024
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open
  Challenges and Interdisciplinary Research Directions
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research DirectionsInformation Fusion (Inf. Fusion), 2023
Luca Longo
Mario Brcic
Federico Cabitza
Jaesik Choi
Roberto Confalonieri
...
Andrés Páez
Wojciech Samek
Johannes Schneider
Timo Speith
Simone Stumpf
494
369
0
30 Oct 2023
General Purpose Artificial Intelligence Systems (GPAIS): Properties,
  Definition, Taxonomy, Societal Implications and Responsible Governance
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Societal Implications and Responsible Governance
I. Triguero
Daniel Molina
Javier Poyatos
Javier Del Ser
Francisco Herrera
AI4TSAI4MH
427
6
0
26 Jul 2023
A Review of Deep Learning-based Approaches for Deepfake Content
  Detection
A Review of Deep Learning-based Approaches for Deepfake Content Detection
L. A. Passos
D. Jodas
K. Costa
Luis A. Souza Júnior
Douglas Rodrigues
Javier Del Ser
Danilo Colombo
João Paulo Papa
AAML
305
85
0
12 Feb 2022
Explainable Artificial Intelligence for Autonomous Driving: A
  Comprehensive Overview and Field Guide for Future Research Directions
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research DirectionsIEEE Access (IEEE Access), 2021
Shahin Atakishiyev
Mohammad Salameh
Hengshuai Yao
Randy Goebel
645
199
0
21 Dec 2021
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
2.5K
19,701
0
16 Feb 2016
1