Editorial: Responsible AI, Computational Design, and Value-Aware Engineering

Abstract

This issue of Big.D explores the intersection of engineering and philosophy in AI-driven design, prediction, and decision-making. Contributions examine autonomous agency, explainability, value alignment, and human oversight, while others translate philosophical concepts into computational methods—ontological modeling, pattern analysis, parametric sustainable design, and AI-assisted craft-manufacturing integration. Together, these studies advocate "value-aware engineering," emphasizing that responsible technology demands not just algorithmic performance but interpretation, governance, and meaningful human participation—reflecting Big.D's mission to advance design-enabled engineering through interdisciplinary frameworks for intelligent technologies.