Building Trust to AI Systems Through Explainability. Technical and legal perspectives (original) (raw)

Unlocking the Black Box: Explainable Artificial Intelligence (XAI) for Trust and Transparency in AI Systems

Nipuna Thalpage

Journal of digital art & humanities, 2023

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Human Centricity in the Relationship Between Explainability and Trust in AI

zahra atf

IEEE Technology and Society Magazine, 2023

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Designing Explainability of an Artificial Intelligence System

Sangyeon Kim

Proceedings of the Technology, Mind, and Society, 2018

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Examination of Current AI Systems within the Scope of Right to Explanation and Designing Explainable AI Systems

Orhan Gazi Yalcin

DC JURIX, 2019

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A Review of Trustworthy and Explainable Artificial Intelligence (XAI)

Razia Sulthana

IEEE Access

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Explainability as a User Requirement for Artificial Intelligence Systems

Mia Schmitz

Computer

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Explainability Auditing for Intelligent Systems: A Rationale for Multi-Disciplinary Perspectives

Kevin Baum

2021 IEEE 29th International Requirements Engineering Conference Workshops (REW), 2021

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Artificial agents’ explainability to support trust: considerations on timing and context

Sabine Koeszegi

AI & SOCIETY

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Advancing Trustworthy Explainable Artificial Intelligence: Principles, Goals, and Strategies

Zeeshan Sadiq

OAlib, 2022

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The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI

Donghee "Don" Shin

Int Journal of Human Computer Studies, 2021

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How Explainability Contributes to Trust in AI

Michele Loi

2022 ACM Conference on Fairness, Accountability, and Transparency

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A Philosophical Approach for a Human-centered Explainable AI

Marta Bertolaso

2020

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On the Relation of Trust and Explainability: Why to Engineer for Trustworthiness

Lena Kästner

2021

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Principles of Explanation in Human-AI Systems

Shane Mueller

arXiv (Cornell University), 2021

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The Ethics of Understanding: Exploring Moral Implications of Explainable AI

Balkrishna Yadav

International Journal of Science and Research (IJSR), 2024

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The Role of Normware in Trustworthy and Explainable AI

Giovanni Sileno

2018

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Leslie, D., Rincón, C., Briggs, M., Perini, A., Jayadeva, S., Borda, A., et al (2024). AI Explainability in Practice. The Alan Turing Institute.

Ann Borda

The Alan Turing Institute, 2024

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The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions

Mateus Monteiro

ArXiv, 2021

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Flexible and Context-Specific AI Explainability: A Multidisciplinary Approach

Florence d'Alché-Buc

SSRN Electronic Journal, 2020

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The role of explainable AI in the context of the AI Act

Gabriele Mazzini

2023 ACM Conference on Fairness, Accountability, and Transparency

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Explainable AI

Britta Wrede

KI - Künstliche Intelligenz

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Trust Indicators and Explainable AI: A Study on User Perceptions

Hélène Portier

2021

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

Sarah Schulz

ArXiv, 2017

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Building a Trustworthy Explainable AI in Healthcare

Anna De Liddo

2020

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The Role of Human Knowledge in Explainable AI

Marco Brambilla

Data

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Explainable agents and robots

Davide Calvaresi

2019

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The Role of Explainable AI in the Research Field of AI Ethics

Mamia Agbese

ACM Transactions on Interactive Intelligent Systems

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Do ML Experts Discuss Explainability for AI Systems?

Mateus Monteiro

2020

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Why, Who, What, When and How about Explainability in Human-Agent Systems

Ariella Richardson

2020

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