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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

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"

29 / 29 papers shown
Title
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
14
0
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
38
0
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
43
0
0
19 May 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
135
1
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
135
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
85
1
0
19 Mar 2025
Privacy in Responsible AI: Approaches to Facial Recognition from Cloud Providers
Anna Elivanova
124
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
122
0
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
70
4
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
103
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
72
2
0
29 Oct 2024
Human-Centric eXplainable AI in Education
Human-Centric eXplainable AI in Education
Subhankar Maity
Aniket Deroy
ELM
48
1
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
136
23
0
09 Oct 2024
LLM-Agent-UMF: LLM-based Agent Unified Modeling Framework for Seamless
  Integration of Multi Active/Passive Core-Agents
LLM-Agent-UMF: LLM-based Agent Unified Modeling Framework for Seamless Integration of Multi Active/Passive Core-Agents
Amine B. Hassouna
Hana Chaari
Ines Belhaj
LLMAG
93
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 Universities
Chuhao Wu
He Zhang
John M. Carroll
72
5
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 Biometrics
Imanol Solano
Alejandro Peña
Aythami Morales
Julian Fierrez
Ruben Tolosana
F. Zamora-Martínez
Javier San Agustin
87
2
0
03 Sep 2024
Integrating ESG and AI: A Comprehensive Responsible AI Assessment
  Framework
Integrating ESG and AI: A Comprehensive Responsible AI Assessment Framework
Fei Yang
Harsha Perera
Yue Liu
Boming Xia
Qinghua Lu
Liming Zhu
Jessica Cairns
Moana Nottage
77
5
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
98
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
52
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
95
4
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
80
1
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
109
4
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
77
4
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
96
0
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 Directions
Luca Longo
Mario Brcic
Federico Cabitza
Jaesik Choi
Roberto Confalonieri
...
Andrés Páez
Wojciech Samek
Johannes Schneider
Timo Speith
Simone Stumpf
150
226
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
122
5
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
95
57
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 Directions
Shahin Atakishiyev
Mohammad Salameh
Hengshuai Yao
Randy Goebel
110
137
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
1.3K
17,197
0
16 Feb 2016
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