AI Summary: This paper explores the intersection of transdisciplinarity and AI ethics, addressing a gap in systematic investigations within this domain. It extends the conception of transdisciplinary integration, drawing on historical philosophical sources, including Aristotle, Francis Bacon, and Edmund Husserl, to argue for a skills-based approach that integrates ethical wisdom in contemporary contexts. The author posits that practical knowledge and skills, rooted in sense perception, are foundational to scientific inquiry and should not be viewed as separate from theoretical knowledge. This perspective challenges traditional views of expertise by emphasizing the importance of practical knowledge in the development of scientific understanding.
Editors’ Choice: The Price of Scale: AI, Ethics, and the Limits of the Humanities
AI Summary: The article examines the intersection of ethics and scale in digital humanities (DH), highlighting the challenges posed by computational technologies that create a distance between researchers and their subjects. It argues that simply increasing data points does not necessarily improve research outcomes; instead, a critical reflection on methodologies is essential to preserve the nuances inherent in humanities work. The author warns against the potential desensitization that can occur when relying on probabilistic methodologies, emphasizing the importance of maintaining a connection to the individual narratives behind aggregated data. This reflection is particularly relevant in the context of AI research, where the benefits of aggregation can obscure the complexities of human experiences.