Black box no more: a sco** review of AI governance frameworks to guide procurement and adoption of AI in medical imaging and radiotherapy in the UK

N Stogiannos, R Malik, A Kumar… - The British Journal of …, 2023 - academic.oup.com
Technological advancements in computer science have started to bring artificial intelligence
(AI) from the bench closer to the bedside. While there is still lots to do and improve, AI …

[HTML][HTML] Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundation Models

BS Sankar, D Gilliland, J Rincon, H Hermjakob, Y Yan… - Bioengineering, 2024 - mdpi.com
Foundation Models (FMs) are gaining increasing attention in the biomedical artificial
intelligence (AI) ecosystem due to their ability to represent and contextualize multimodal …

Leverage zones in Responsible AI: towards a systems thinking conceptualization

E Nabavi, C Browne - Humanities and Social Sciences …, 2023 - nature.com
There is a growing debate amongst academics and practitioners on whether interventions
made, thus far, towards Responsible AI have been enough to engage with the root causes of …

When Industry meets trustworthy AI: a systematic review of AI for Industry 5.0

E Vyhmeister, GG Castane - arxiv preprint arxiv:2403.03061, 2024 - arxiv.org
Industry is at the forefront of adopting new technologies, and the process followed by the
adoption has a significant impact on the economy and society. In this work, we focus on …

Building an Ethical and Trustworthy Biomedical AI Ecosystem for the Translational and Clinical Integration of Foundational Models

SS Baradwaj, D Gilliland, J Rincon… - arxiv preprint arxiv …, 2024 - arxiv.org
Foundational Models (FMs) are gaining increasing attention in the biomedical AI ecosystem
due to their ability to represent and contextualize multimodal biomedical data. These …

TAI-PRM: trustworthy AI—project risk management framework towards Industry 5.0

E Vyhmeister, GG Castane - AI and Ethics, 2024 - Springer
Artificial Intelligence (AI) is increasingly being used in manufacturing to automate tasks and
process data, leading to what has been termed Industry. 4.0. However, as we move towards …

[HTML][HTML] Enabling people-centric climate action using human-in-the-loop artificial intelligence: a review

R Debnath, N Tkachenko, M Bhattacharyya - Current Opinion in Behavioral …, 2025 - Elsevier
Highlights•Human-in-the-loop (HITL) design is critical for mitigating biases in AI-led
decisions.•HITL AI can harness people's behavioural insights for contextualised climate …

Responsible AI (RAI) in Manufacturing: A Qualitative Framework

P Besinger, D Vejnoska, F Ansari - Procedia Computer Science, 2024 - Elsevier
Artificial Intelligence (AI) has profound economic influence in manufacturing, but its
unmindful integration can also pose societal and environmental risks. This paper provides a …

Towards Industry 5.0 by Incorporation of Trustworthy and Human-Centric Approaches

E Vyhmeister, GG Castane - … and Cost-Effective Production Through AI, 2023 - Springer
The industrial sector has been a major adopter of new technologies for decades, driving
economic and societal progress. The path by which industry embraces new techniques has …

Sustainability planning in an agri-food supply chain through a decision support system

MG Cardoso - 2024 - investigo.biblioteca.uvigo.es
The aim of this research is to develop a decision support system adapted to careful
sustainability planning in agri-food supply chains. Recognising the growing importance of …