AI Medical Compendium Journal:
Science and engineering ethics

Showing 11 to 20 of 84 articles

From Pixels to Principles: A Decade of Progress and Landscape in Trustworthy Computer Vision.

Science and engineering ethics
The rapid development of computer vision technologies and applications has brought forth a range of social and ethical challenges. Due to the unique characteristics of visual technology in terms of data modalities and application scenarios, computer ...

AI Through Ethical Lenses: A Discourse Analysis of Guidelines for AI in Healthcare.

Science and engineering ethics
While the technologies that enable Artificial Intelligence (AI) continue to advance rapidly, there are increasing promises regarding AI's beneficial outputs and concerns about the challenges of human-computer interaction in healthcare. To address the...

Artificial Intelligence and Agency: Tie-breaking in AI Decision-Making.

Science and engineering ethics
Determining the agency-status of machines and AI has never been more pressing. As we progress into a future where humans and machines more closely co-exist, understanding hallmark features of agency affords us the ability to develop policy and narrat...

Mapping Ethical Artificial Intelligence Policy Landscape: A Mixed Method Analysis.

Science and engineering ethics
As more national governments adopt policies addressing the ethical implications of artificial intelligence, a comparative analysis of policy documents on these topics can provide valuable insights into emerging concerns and areas of shared importance...

Playing Brains: The Ethical Challenges Posed by Silicon Sentience and Hybrid Intelligence in DishBrain.

Science and engineering ethics
The convergence of human and artificial intelligence is currently receiving considerable scholarly attention. Much debate about the resulting Hybrid Minds focuses on the integration of artificial intelligence into the human brain through intelligent ...

AI as an Epistemic Technology.

Science and engineering ethics
In this paper I argue that Artificial Intelligence and the many data science methods associated with it, such as machine learning and large language models, are first and foremost epistemic technologies. In order to establish this claim, I first argu...

SAF: Stakeholders' Agreement on Fairness in the Practice of Machine Learning Development.

Science and engineering ethics
This paper clarifies why bias cannot be completely mitigated in Machine Learning (ML) and proposes an end-to-end methodology to translate the ethical principle of justice and fairness into the practice of ML development as an ongoing agreement with s...

A Comparative Defense of Self-initiated Prospective Moral Answerability for Autonomous Robot harm.

Science and engineering ethics
As artificial intelligence becomes more sophisticated and robots approach autonomous decision-making, debates about how to assign moral responsibility have gained importance, urgency, and sophistication. Answering Stenseke's (2022a) call for scaffold...

Reflections on Putting AI Ethics into Practice: How Three AI Ethics Approaches Conceptualize Theory and Practice.

Science and engineering ethics
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 to prevent such a gap by conceptually translating ethical theo...

Socially Assistive Devices in Healthcare-a Systematic Review of Empirical Evidence from an Ethical Perspective.

Science and engineering ethics
Socially assistive devices such as care robots or companions have been advocated as a promising tool in elderly care in Western healthcare systems. Ethical debates indicate various challenges. An important part of the ethical evaluation is to underst...