[HTML][HTML] Data justice and data solidarity

M Braun, P Hummel - Patterns, 2022 - cell.com
Datafication shapes and gradually transforms societies. Given this impact, issues of justice
around data-driven practices have received more and more attention in recent years as …

Reflections on putting AI ethics into practice: how three AI ethics approaches conceptualize theory and practice

H Bleher, M Braun - Science and Engineering Ethics, 2023 - Springer
Critics currently argue that applied ethics approaches to artificial intelligence (AI) are too
principles-oriented and entail a theory–practice gap. Several applied ethical approaches try …

Requirements for explainability and acceptance of artificial intelligence in collaborative work

S Theis, S Jentzsch, F Deligiannaki, C Berro… - … Conference on Human …, 2023 - Springer
The increasing prevalence of Artificial Intelligence (AI) in safety-critical contexts such as air-
traffic control leads to systems that are practical and efficient, and to some extent explainable …

Diffused responsibility: attributions of responsibility in the use of AI-driven clinical decision support systems

H Bleher, M Braun - AI and Ethics, 2022 - Springer
Good decision-making is a complex endeavor, and particularly so in a health context. The
possibilities for day-to-day clinical practice opened up by AI-driven clinical decision support …

Contestable AI by design: towards a framework

K Alfrink, I Keller, G Kortuem, N Doorn - Minds and Machines, 2023 - Springer
As the use of AI systems continues to increase, so do concerns over their lack of fairness,
legitimacy and accountability. Such harmful automated decision-making can be guarded …

Before and beyond trust: reliance in medical AI

CX Kerasidou, A Kerasidou, M Buscher… - Journal of medical …, 2022 - jme.bmj.com
Artificial intelligence (AI) is changing healthcare and the practice of medicine as data-driven
science and machine-learning technologies, in particular, are contributing to a variety of …

Trustworthy artificial intelligence and ethical design: public perceptions of trustworthiness of an AI-based decision-support tool in the context of intrapartum care

R Dlugatch, A Georgieva, A Kerasidou - BMC Medical Ethics, 2023 - Springer
Background Despite the recognition that developing artificial intelligence (AI) that is
trustworthy is necessary for public acceptability and the successful implementation of AI in …

Making sense of the conceptual nonsense 'trustworthy AI'

O Freiman - AI and Ethics, 2023 - Springer
Following the publication of numerous ethical principles and guidelines, the concept
of'Trustworthy AI'has become widely used. However, several AI ethicists argue against using …

What kind of trust does AI deserve, if any?

R Alvarado - AI and Ethics, 2023 - Springer
In this paper, I argue that the only kind of trust that should be allocated to AI technologies, if
any at all, is epistemic trust. Epistemic trust is defined by Wilholt (Br J Philos Sci 64: 233 …

Bureaucrat or artificial intelligence: people's preferences and perceptions of government service

D Gaozhao, JE Wright, MK Gainey - Public Management Review, 2024 - Taylor & Francis
The increasing use of artificial intelligence (AI) in public service delivery presents important
yet unanswered questions about citizens' views of AI. Are citizens' perceptions of decisions …