It is apparent that the development of artificial intelligence (AI) technology is accompanied by many challenges, especially with regard to data misuse and the risks posed by third-party models. This study analyses significant concerns in using AI technology, specifically concerning data abuse. Valuable information for understanding how inventory poisoning in supply chain processes supports unreliability in AI technology processes can be obtained with exhaustive analysis in this study. This study further analyses how generated misinformation using AI technology supports public distrust in democratic processes for infrastructure programmes in health care. Emphasis has been placed on how collaboration between cybersecurity experts and artificial intelligence technology developers can mitigate third-party vulnerability arising due to AI misinformation. This study contributes to developing a conceptual framework of trustworthy AI for the organisation.
Shailja Tripathi (Sun,) studied this question.