Explainable artificial intelligence: a comprehensive review

D Minh, HX Wang, YF Li, TN Nguyen - Artificial Intelligence Review, 2022 - Springer
Thanks to the exponential growth in computing power and vast amounts of data, artificial
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …

Towards transparency by design for artificial intelligence

H Felzmann, E Fosch-Villaronga, C Lutz… - … and engineering ethics, 2020 - Springer
In this article, we develop the concept of Transparency by Design that serves as practical
guidance in helping promote the beneficial functions of transparency while mitigating its …

Feminist human-robot interaction: Disentangling power, principles and practice for better, more ethical HRI

K Winkle, D McMillan, M Arnelid, K Harrison… - Proceedings of the …, 2023 - dl.acm.org
Human-Robot Interaction (HRI) is inherently a human-centric field of technology. The role of
feminist theories in related fields (eg Human-Computer Interaction, Data Science) are taken …

Transparency you can trust: Transparency requirements for artificial intelligence between legal norms and contextual concerns

H Felzmann, EF Villaronga, C Lutz… - Big Data & …, 2019 - journals.sagepub.com
Transparency is now a fundamental principle for data processing under the General Data
Protection Regulation. We explore what this requirement entails for artificial intelligence and …

A survey of multi-agent Human–Robot Interaction systems

A Dahiya, AM Aroyo, K Dautenhahn… - Robotics and Autonomous …, 2023 - Elsevier
This article presents a survey of literature in the area of Human–Robot Interaction (HRI),
specifically on systems containing more than two agents (ie, having multiple humans and/or …

FUTURE-AI: guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging

K Lekadir, R Osuala, C Gallin, N Lazrak… - arXiv preprint arXiv …, 2021 - arxiv.org
The recent advancements in artificial intelligence (AI) combined with the extensive amount
of data generated by today's clinical systems, has led to the development of imaging AI …

Who needs explanation and when? Juggling explainable AI and user epistemic uncertainty

J Jiang, S Kahai, M Yang - International Journal of Human-Computer …, 2022 - Elsevier
In recent years, AI explainability (XAI) has received wide attention. Although XAI is expected
to play a positive role in decision-making and advice acceptance, various opposing effects …

Humanoid robots in higher education: Evaluating the acceptance of Pepper in the context of an academic writing course using the UTAUT

J Guggemos, S Seufert… - British Journal of …, 2020 - Wiley Online Library
This study investigates the acceptance of social robots by higher education students in the
social sciences. Pepper, a humanoid social robot from SoftBank Robotics, provided a …

The robot privacy paradox: Understanding how privacy concerns shape intentions to use social robots

C Lutz, A Tamó-Larrieux - Human-Machine Communication, 2020 - search.informit.org
Conceptual research on robots and privacy has increased but we lack empirical evidence
about the prevalence, antecedents, and outcomes of different privacy concerns about social …

Overtrusting robots: Setting a research agenda to mitigate overtrust in automation

AM Aroyo, J De Bruyne, O Dheu… - Paladyn, Journal of …, 2021 - degruyter.com
There is increasing attention given to the concept of trustworthiness for artificial intelligence
and robotics. However, trust is highly context-dependent, varies among cultures, and …