Artificial intelligence in education: Addressing ethical challenges in K-12 settings

S Akgun, C Greenhow - AI and Ethics, 2022 - Springer
Artificial intelligence (AI) is a field of study that combines the applications of machine
learning, algorithm productions, and natural language processing. Applications of AI …

Diagnostic accuracy of deep learning in medical imaging: a systematic review and meta-analysis

R Aggarwal, V Sounderajah, G Martin, DSW Ting… - NPJ digital …, 2021 - nature.com
Deep learning (DL) has the potential to transform medical diagnostics. However, the
diagnostic accuracy of DL is uncertain. Our aim was to evaluate the diagnostic accuracy of …

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 …

[HTML][HTML] Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda

A Zuiderwijk, YC Chen, F Salem - Government information quarterly, 2021 - Elsevier
To lay the foundation for the special issue that this research article introduces, we present 1)
a systematic review of existing literature on the implications of the use of Artificial …

I, Chatbot: Modeling the determinants of users' satisfaction and continuance intention of AI-powered service agents

M Ashfaq, J Yun, S Yu, SMC Loureiro - Telematics and Informatics, 2020 - Elsevier
Chatbots are mainly text-based conversational agents that simulate conversations with
users. This study aims to investigate drivers of users' satisfaction and continuance intention …

Artificial intelligence in business: State of the art and future research agenda

SMC Loureiro, J Guerreiro, I Tussyadiah - Journal of business research, 2021 - Elsevier
This study provides an overview of state-of-the-art research on Artificial Intelligence in the
business context and proposes an agenda for future research. First, by analyzing 404 …

Opportunities and challenges in explainable artificial intelligence (xai): A survey

A Das, P Rad - arXiv preprint arXiv:2006.11371, 2020 - arxiv.org
Nowadays, deep neural networks are widely used in mission critical systems such as
healthcare, self-driving vehicles, and military which have direct impact on human lives …

The ethics of AI in health care: a mapping review

J Morley, CCV Machado, C Burr, J Cowls, I Joshi… - Social Science & …, 2020 - Elsevier
This article presents a mapping review of the literature concerning the ethics of artificial
intelligence (AI) in health care. The goal of this review is to summarise current debates and …

Digital transformation toward AI-augmented public administration: The perception of government employees and the willingness to use AI in government

MJ Ahn, YC Chen - Government Information Quarterly, 2022 - Elsevier
Government employees play a critical role in adopting and using new technologies in
government, and their attitude and willingness to use them matter in creating a sustainable …

The global landscape of AI ethics guidelines

A Jobin, M Ienca, E Vayena - Nature machine intelligence, 2019 - nature.com
In the past five years, private companies, research institutions and public sector
organizations have issued principles and guidelines for ethical artificial intelligence (AI) …