Axioattisen

Axioattisen is a theoretical concept used in discussions at the intersection of axiology, the study of value, and theories of cognitive attention in autonomous systems. It describes how value-driven criteria influence what information a system privileges, and how the resulting attentional focus shapes subsequent value judgments and actions.

The term appears to be a portmanteau of axiological concerns and attention. Its exact origin is uncertain, with references emerging in speculative and interdisciplinary forums during the early 2020s. It is most commonly discussed in the context of value-sensitive design and AI ethics.

Core ideas include: value-driven attention, where normative considerations allocate perceptual and computational resources; dynamic valuation, in which attention and value judgments influence each other in real time; and transparency, encouraging disclosure of the value criteria guiding attention and the criteria for prioritization.

Applications lie in artificial intelligence, robotics, and human–computer interaction, where designers seek to ensure systems attend to information aligned with social and ethical priorities. Critics note that axioattisen remains underdefined and lacks robust empirical validation, arguing for clearer definitions, operational metrics, and experimental studies.

See also axiology, attention mechanism, value alignment, and ethical AI.