Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Powerful AI
0
Zitationen
1
Autoren
2025
Jahr
Abstract
Advances in artificial intelligence and machine learning have not only generated economic opportunities but also raised concerns about their impact on the future of the welfare state and the autonomy of decision-making for individuals, organizations, and states. In the context of biobanking, the potential of AI is deeply rooted at the intersection of healthcare and health research, particularly in relation to power and resource distribution. This chapter draws on socio-technical imaginaries of AI and the immaculate conception of data, to analyze national strategies, social value systems, and scientific expectations, especially in Europe. In its assessment, it incorporates traditional responsible AI approaches – focusing on accountability, responsibility, and transparency – as well as the governance and sense-making of potentiality and trustworthiness of AI systems in the making.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.336 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.207 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.607 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.476 Zit.