The potential of generative artificial intelligence across disciplines: Perspectives and future directions

KB Ooi, GWH Tan, M Al-Emran… - Journal of Computer …, 2023 - Taylor & Francis
In a short span of time since its introduction, generative artificial intelligence (AI) has
garnered much interest at both personal and organizational levels. This is because of its …

Survey of explainable AI techniques in healthcare

A Chaddad, J Peng, J Xu, A Bouridane - Sensors, 2023 - mdpi.com
Artificial intelligence (AI) with deep learning models has been widely applied in numerous
domains, including medical imaging and healthcare tasks. In the medical field, any judgment …

[HTML][HTML] What influences algorithmic decision-making? A systematic literature review on algorithm aversion

H Mahmud, AKMN Islam, SI Ahmed… - … Forecasting and Social …, 2022 - Elsevier
With the continuing application of artificial intelligence (AI) technologies in decision-making,
algorithmic decision-making is becoming more efficient, often even outperforming humans …

Thinking responsibly about responsible AI and 'the dark side'of AI

P Mikalef, K Conboy, JE Lundström… - European Journal of …, 2022 - Taylor & Francis
Artificial Intelligence (AI) has been argued to offer a myriad of improvements in how we work
and live. The notion of AI comprises a wide-ranging set of technologies that allow individuals …

[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 …

[HTML][HTML] Artificial intelligence applications in health care practice: scoping review

M Sharma, C Savage, M Nair, I Larsson… - Journal of medical …, 2022 - jmir.org
Background Artificial intelligence (AI) is often heralded as a potential disruptor that will
transform the practice of medicine. The amount of data collected and available in health …

[HTML][HTML] How Artificial Intelligence affords digital innovation: A cross-case analysis of Scandinavian companies

C Trocin, IV Hovland, P Mikalef, C Dremel - Technological Forecasting and …, 2021 - Elsevier
Artificial Intelligence (AI) is fuelling a new breed of digital innovation in Human Resource
Management (HRM) by creating new opportunities for complying with General Data …

[HTML][HTML] Artificial intelligence as an enabler of B2B marketing: A dynamic capabilities micro-foundations approach

P Mikalef, K Conboy, J Krogstie - Industrial Marketing Management, 2021 - Elsevier
Over the past few decades research has predominantly focused on the technical aspects
and theoretical challenges of Artificial Intelligence (AI). With the deluge of data and the …

[HTML][HTML] Managing artificial intelligence applications in healthcare: Promoting information processing among stakeholders

P Hofmann, L Lämmermann, N Urbach - International Journal of Information …, 2024 - Elsevier
AI applications hold great potential for improving healthcare. However, successfully
operating AI is a complex endeavor requiring organizations to establish adequate …

Xair: A systematic metareview of explainable ai (xai) aligned to the software development process

T Clement, N Kemmerzell, M Abdelaal… - Machine Learning and …, 2023 - mdpi.com
Currently, explainability represents a major barrier that Artificial Intelligence (AI) is facing in
regard to its practical implementation in various application domains. To combat the lack of …