Francisco Herrera

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

2019 · 8.490 Zit. · Information Fusion

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

2023 · 1.370 Zit. · Information Fusion

Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation

2023 · 618 Zit. · Information Fusion

Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions

2024 · 432 Zit. · Information Fusion

Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges

2022 · 264 Zit. · Information Fusion

General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance

2023 · 66 Zit. · Information Fusion

Reflections and attentiveness on eXplainable Artificial Intelligence (XAI). The journey ahead from criticisms to human–AI collaboration

2025 · 31 Zit. · Information Fusion

COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images

2020 · 26 Zit. · arXiv (Cornell University)

An overview of model uncertainty and variability in LLM-based sentiment analysis: challenges, mitigation strategies, and the role of explainability

2025 · 16 Zit. · Frontiers in Artificial Intelligence

Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions

2023 · 14 Zit. · arXiv (Cornell University)

And Plato met ChatGPT: an ethical reflection on the use of chatbots in scientific research writing, with a particular focus on the social sciences

2025 · 6 Zit. · Humanities and Social Sciences Communications

An overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability

2025 · 2 Zit. · ArXiv.org

Trustworthy Artificial Intelligence: Nature, Requirements, Regulation, and Emerging Discussions

2025 · 1 Zit. · WORLD SCIENTIFIC eBooks

A Maturity Model for Practical Explainability in Artificial Intelligence‐Based Applications: Integrating Analysis and Evaluation (MM4XAI‐AE) Models

2025 · 1 Zit. · International Journal of Intelligent Systems

Toward Responsible Artificial Intelligence Systems: Safety and Trustworthiness

2023 · 0 Zit. · Lecture notes in computer science