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

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

Mark Coeckelbergh

Marcos López de Prado

E. Herrera-Viedma

Francisco Herrera

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

14 / 14 papers shown

Title
A Multimedia Analytics Model for the Foundation Model Era M. Worring Jan Zahálka Stef van den Elzen M. T. Fischer Daniel A. Keim VGen HAI 35 0 0 08 Apr 2025
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 40 0 0 07 Nov 2024
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 19 1 0 03 Sep 2024
Fairness-Aware Meta-Learning via Nash Bargaining Yi Zeng Xuelin Yang Li Chen Cristian Canton Ferrer Ming Jin Michael I. Jordan Ruoxi Jia 19 2 0 11 Jun 2024
BIASeD: Bringing Irrationality into Automated System Design Aditya Gulati M. Lozano Bruno Lepri Nuria Oliver 31 6 0 01 Oct 2022
Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge Cara L. Widmer Md Kamruzzaman Sarker Srikanth Nadella Joshua L. Fiechter I. Juvina B. Minnery Pascal Hitzler Joshua Schwartz M. Raymer 29 7 0 27 Sep 2022
Increasing Confidence in Adversarial Robustness Evaluations Roland S. Zimmermann Wieland Brendel Florian Tramèr Nicholas Carlini AAML 28 16 0 28 Jun 2022
Conformity Assessments and Post-market Monitoring: A Guide to the Role of Auditing in the Proposed European AI Regulation Jakob Mokander M. Axente F. Casolari Luciano Floridi 57 83 0 09 Nov 2021
Generalized Out-of-Distribution Detection: A Survey Jingkang Yang Kaiyang Zhou Yixuan Li Ziwei Liu 168 870 0 21 Oct 2021
Unsolved Problems in ML Safety Dan Hendrycks Nicholas Carlini John Schulman Jacob Steinhardt 164 268 0 28 Sep 2021
$ECQ$^{\text{x}}$: Explainability-Driven Quantization for Low-Bit and Sparse DNNs$ ECQ $^{\text{x}}$ : Explainability-Driven Quantization for Low-Bit and Sparse DNNs Daniel Becking Maximilian Dreyer Wojciech Samek Karsten Müller Sebastian Lapuschkin MQ 52 12 0 09 Sep 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello S. Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 45 60 0 24 Apr 2021
Zero-Shot Text-to-Image Generation Aditya A. Ramesh Mikhail Pavlov Gabriel Goh Scott Gray Chelsea Voss Alec Radford Mark Chen Ilya Sutskever VLM 253 4,735 0 24 Feb 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 286 4,143 0 23 Aug 2019