<![CDATA[This study explores how technological developments in Artificial Intelligence (AI) decision support systems within Indonesian manufacturing organizations interact with the intricate dynamics of trust, accountability, and technology. The study employed a cross-sectional quantitative research approach to gather responses from a representative sample of professionals spanning different organizational levels, age groups, and functions. The results show that there is a high degree of trust in AI systems, which is largely impacted by dependability and transparency. Strong perceived accountability frameworks encourage prudent decision-making. Technological developments have a big impact on trust and responsibility, especially in Explainable AI and bias prevention. A nuanced interpretation is ensured by the study's demographic analysis, which provides practitioners and policymakers with practical insights to support ethical AI integration in Indonesia's industrial sector.]]>
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