Aug 2026· AI and Ethics· Vol 6· 0 citations· 125 references
TL;DR
It is concluded that resistance to attributing creativity to GenAI reflects genuine conceptual distinctions alongside persistent anthropocentric assumptions, and that current deployment practices carry ethical implications that demand an institutional response rather than case-by-case management.
Generative artificial intelligence (AI) has raised a widely shared concern that human cognitive and creative output is drifting toward common templates. The terms used to describe this drift, including algorithmic monoculture, outcome homogenization, and the loss of collective diversity, all characterize systems, popul...
Qi-Tian Cao, Zi-Ran Zhou, Lin Wang et al.· Frontiers in Psychology· 0 citations
It is argued that intelligence should be assessed not by output quality or efficiency alone, but by its impact on intellectual character, arguing that intelligence should be assessed not by output quality or efficiency alone, but by its impact on intellectual character.
A conceptual analysis of AI-generated music as a sociotechnical practice that reshapes not only ideas of creativity and authorship, but also the material conditions under which human artists work is developed.
The paper proposes dynamic-reflexive tracking (DRT), which requires that a creator's evolving reasons undergo reflective uptake, exert genuine influence on the subsequent trajectory of creation, and remain capable of rejecting and redirecting the system's default direction.
Formal education is widely understood as a system for cultivating knowledge and human potential. Yet its structural logic often privileges conformity, standardization, and the efficient reproduction of established knowledge—paradoxically suppressing the very cognitive dispositions that underpin creativity, originalit...
K. Liao· The Journal of creative beha...· 1 citation
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