Making It Possible for the Auditing of AI: A Systematic Review of AI Audits and AI Auditability

Y Li, S Goel - Information Systems Frontiers, 2024 - Springer
Artificial intelligence (AI) technologies have become the key driver of innovation in society.
However, numerous vulnerabilities of AI systems can lead to negative consequences for …

Multimodal healthcare AI: identifying and designing clinically relevant vision-language applications for radiology

N Yildirim, H Richardson, MT Wetscherek… - Proceedings of the CHI …, 2024 - dl.acm.org
Recent advances in AI combine large language models (LLMs) with vision encoders that
bring forward unprecedented technical capabilities to leverage for a wide range of …

The Digital Nexus: tracing the evolution of human consciousness and cognition within the artificial realm—a comprehensive review

Z Wang, D Wu - AI & SOCIETY, 2023 - Springer
This paper endeavors to appraise scholarly works from the 1940s to the contemporary era,
examining the scientific quest to transpose human cognition and consciousness into a …

[HTML][HTML] Trustworthy AI in the public sector: An empirical analysis of a Swedish labor market decision-support system

A Berman, K de Fine Licht, V Carlsson - Technology in Society, 2024 - Elsevier
This paper investigates the deployment of Artificial Intelligence (AI) in the Swedish Public
Employment Service (PES), focusing on the concept of trustworthy AI in public decision …

[HTML][HTML] Evaluation of trustworthy artificial intelligent healthcare applications using multi-criteria decision-making approach

MA Alsalem, AH Alamoodi, OS Albahri… - Expert Systems with …, 2024 - Elsevier
The purpose of this paper is to propose a novel hybrid framework for evaluating and
benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi …

Introduction to the special issue on human-centred AI in healthcare: Challenges appearing in the wild

TO Andersen, F Nunes, L Wilcox, E Coiera… - ACM Transactions on …, 2023 - dl.acm.org
The development of Artificial intelligence (AI) is accelerating and promising to impact
healthcare. Advancements in processing chips and Machine Learning (ML) have made …

Early experiences of integrating an artificial intelligence-based diagnostic decision support system into radiology settings: a qualitative study

N Farič, S Hinder, R Williams… - Journal of the …, 2024 - academic.oup.com
Objectives Artificial intelligence (AI)-based clinical decision support systems to aid diagnosis
are increasingly being developed and implemented but with limited understanding of how …

Some observations on fact-checking work with implications for computational support

R Procter, M Arana-Catania, Y He, M Liakata… - arXiv preprint arXiv …, 2023 - arxiv.org
Social media and user-generated content (UGC) have become increasingly important
features of journalistic work in a number of different ways. However, the growth of …

[HTML][HTML] A Human–AI interaction paradigm and its application to rhinocytology

G Desolda, G Dimauro, A Esposito, R Lanzilotti… - Artificial Intelligence in …, 2024 - Elsevier
Abstract This article explores Human-Centered Artificial Intelligence (HCAI) in medical
cytology, with a focus on enhancing the interaction with AI. It presents a Human–AI …

Data-driven framework for evaluating digitization and artificial intelligence risk: a comprehensive analysis

W Badawy - AI and Ethics, 2023 - Springer
The ongoing evolution of digitization and digital transformation, especially since the
emergence of Industry 4.0, has led to the generation of vast volumes of data, information …