Digital twins: A survey on enabling technologies, challenges, trends and future prospects

S Mihai, M Yaqoob, DV Hung, W Davis… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Digital Twin (DT) is an emerging technology surrounded by many promises, and potentials
to reshape the future of industries and society overall. A DT is a system-of-systems which …

Ethics of AI-enabled recruiting and selection: A review and research agenda

AL Hunkenschroer, C Luetge - Journal of Business Ethics, 2022 - Springer
Companies increasingly deploy artificial intelligence (AI) technologies in their personnel
recruiting and selection process to streamline it, making it faster and more efficient. AI …

Should chatgpt be biased? challenges and risks of bias in large language models

E Ferrara - arXiv preprint arXiv:2304.03738, 2023 - arxiv.org
As the capabilities of generative language models continue to advance, the implications of
biases ingrained within these models have garnered increasing attention from researchers …

Six human-centered artificial intelligence grand challenges

O Ozmen Garibay, B Winslow, S Andolina… - … Journal of Human …, 2023 - Taylor & Francis
Widespread adoption of artificial intelligence (AI) technologies is substantially affecting the
human condition in ways that are not yet well understood. Negative unintended …

Managing the strategic transformation of higher education through artificial intelligence

B George, O Wooden - Administrative Sciences, 2023 - mdpi.com
Considering the rapid advancements in artificial intelligence (AI) and their potential
implications for the higher education sector, this article seeks to critically evaluate the …

Ethical framework for Artificial Intelligence and Digital technologies

M Ashok, R Madan, A Joha, U Sivarajah - International Journal of …, 2022 - Elsevier
Abstract The use of Artificial Intelligence (AI) in Digital technologies (DT) is proliferating a
profound socio-technical transformation. Governments and AI scholarship have endorsed …

What do we want from Explainable Artificial Intelligence (XAI)?–A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research

M Langer, D Oster, T Speith, H Hermanns, L Kästner… - Artificial Intelligence, 2021 - Elsevier
Abstract Previous research in Explainable Artificial Intelligence (XAI) suggests that a main
aim of explainability approaches is to satisfy specific interests, goals, expectations, needs …

Fairness and bias in artificial intelligence: A brief survey of sources, impacts, and mitigation strategies

E Ferrara - Sci, 2023 - mdpi.com
The significant advancements in applying artificial intelligence (AI) to healthcare decision-
making, medical diagnosis, and other domains have simultaneously raised concerns about …

[HTML][HTML] SHIFTing artificial intelligence to be responsible in healthcare: A systematic review

H Siala, Y Wang - Social Science & Medicine, 2022 - Elsevier
A variety of ethical concerns about artificial intelligence (AI) implementation in healthcare
have emerged as AI becomes increasingly applicable and technologically advanced. The …

Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI

JM Durán, KR Jongsma - Journal of Medical Ethics, 2021 - jme.bmj.com
The use of black box algorithms in medicine has raised scholarly concerns due to their
opaqueness and lack of trustworthiness. Concerns about potential bias, accountability and …