Improving Trust and Accountability in AI Systems through Technological Era Advancement for Decision Support in Indonesian Manufacturing Companies

Authors

  • Eri Mardiani Universitas Nasional
  • Loso Judijanto IPOSS Jakarta, Indonesia
  • Arief Yanto Rukmana Universitas Pendidikan Indonesia

DOI:

https://doi.org/10.58812/wsis.v1i10.301

Keywords:

Trust, Accountability, Artificial Intelligence, Technological Era, Decision, Manufacturing Companies

Abstract

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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Published

2023-10-30

How to Cite

Mardiani, E., Judijanto, L., & Rukmana, A. Y. (2023). Improving Trust and Accountability in AI Systems through Technological Era Advancement for Decision Support in Indonesian Manufacturing Companies. West Science Interdisciplinary Studies, 1(10), 1031–1039. https://doi.org/10.58812/wsis.v1i10.301

Issue

Vol. 1 No. 10 (2023): West Science Interdisciplinary Studies

Section

Articles

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Copyright (c) 2023 Eri Mardiani, Loso Judijanto, Arief Yanto Rukmana

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