Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review
AAH de Hond, AM Leeuwenberg, L Hooft… - NPJ digital …, 2022 - nature.com
While the opportunities of ML and AI in healthcare are promising, the growth of complex data-
driven prediction models requires careful quality and applicability assessment before they …
driven prediction models requires careful quality and applicability assessment before they …
Recent advances in trustworthy explainable artificial intelligence: Status, challenges, and perspectives
Artificial intelligence (AI) and machine learning (ML) have come a long way from the earlier
days of conceptual theories, to being an integral part of today's technological society. Rapid …
days of conceptual theories, to being an integral part of today's technological society. Rapid …
[HTML][HTML] Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation
Abstract Trustworthy Artificial Intelligence (AI) is based on seven technical requirements
sustained over three main pillars that should be met throughout the system's entire life cycle …
sustained over three main pillars that should be met throughout the system's entire life cycle …
Thinking responsibly about responsible AI and 'the dark side'of AI
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 …
and live. The notion of AI comprises a wide-ranging set of technologies that allow individuals …
Designerly understanding: Information needs for model transparency to support design ideation for AI-powered user experience
Despite the widespread use of artificial intelligence (AI), designing user experiences (UX) for
AI-powered systems remains challenging. UX designers face hurdles understanding AI …
AI-powered systems remains challenging. UX designers face hurdles understanding AI …
Responsible AI pattern catalogue: A collection of best practices for AI governance and engineering
Responsible Artificial Intelligence (RAI) is widely considered as one of the greatest scientific
challenges of our time and is key to increase the adoption of Artificial Intelligence (AI) …
challenges of our time and is key to increase the adoption of Artificial Intelligence (AI) …
Responsible ai systems: who are the stakeholders?
A Deshpande, H Sharp - Proceedings of the 2022 AAAI/ACM Conference …, 2022 - dl.acm.org
As of 2021, there were more than 170 guidelines on AI ethics and responsible, trustworthy AI
in circulation according to the AI Ethics Guidelines Global Inventory maintained by …
in circulation according to the AI Ethics Guidelines Global Inventory maintained by …
What about investors? ESG analyses as tools for ethics-based AI auditing
M Minkkinen, A Niukkanen, M Mäntymäki - AI & society, 2024 - Springer
Artificial intelligence (AI) governance and auditing promise to bridge the gap between AI
ethics principles and the responsible use of AI systems, but they require assessment …
ethics principles and the responsible use of AI systems, but they require assessment …
AI fairness in data management and analytics: A review on challenges, methodologies and applications
P Chen, L Wu, L Wang - Applied Sciences, 2023 - mdpi.com
This article provides a comprehensive overview of the fairness issues in artificial intelligence
(AI) systems, delving into its background, definition, and development process. The article …
(AI) systems, delving into its background, definition, and development process. The article …
Accelerating AI adoption with responsible AI signals and employee engagement mechanisms in health care
Artificial Intelligence (AI) technology is transforming the healthcare sector. However, despite
this, the associated ethical implications remain open to debate. This research investigates …
this, the associated ethical implications remain open to debate. This research investigates …