Mr. Yugnane Yang
Professor
National Cheng Kung University
Education
University of Southern California
![IMG_9645_copy[1].jpg](https://static.wixstatic.com/media/3263f7_a43bb2b6af414d7e906b6fdab17ca885~mv2.jpg/v1/fill/w_356,h_430,al_c,q_80,usm_0.66_1.00_0.01,enc_avif,quality_auto/IMG_9645_copy%5B1%5D.jpg)
Experience
GM, ADAT general Manager (2017~ present)
CEO, Taiwan wisdom AI consulting (2013~present)
ASML Global training center manager (2007~2013)
ASML tech support manager (2003~2007)
Primary inventor of 33 global AI/MR/Navigation new/innovative patents.
Speech Title and Abstract
Business AI disaster prevention strategy – the 2023’s LAUNCH TECHNOLOGIES fire case
On September 22, 2023, a devastating fire broke out at the Ming Yang Corporation, resulting in 10 deaths. This tragedy highlighted the serious failure of corporate disaster prevention systems. The problems that occurred at Ming Yang could just as easily arise in high-tech semiconductor supply chain factories and production lines, potentially leading to disasters or environmental pollution. This paper uses the Ming Yang fire as a case study to explore how integrating AI strategies into corporate disaster prevention can enhance effectiveness and provide concrete strategies and practical approaches. The fire at Ming Yang was primarily caused by the company’s failure to disclose critical information—specifically, the storage of peroxide in its warehouse at 30 times the legal limit. This led to the deaths of six uninformed employees and the loss of four firefighters. These facts are documented in the indictment by the Pingtung District Prosecutors Office and in the investigation report by the National Fire Agency under the Ministry of the Interior. One of the key questions this paper aims to explore is why this critical information about the peroxides was either overlooked or not disclosed—a matter that points to deeper issues within corporate disaster prevention strategies. Based on the Ming Yang case, this study investigates how AI-driven disaster prevention strategies can be implemented to prevent the recurrence of similar incidents. Although this research focuses on a single case, it aims to derive generalizable insights applicable to broader contexts. Another example of a repeated failure in corporate disaster prevention is the Chin Poon fire that occurred on April 28, 2018, in Taoyuan, where six firefighters and two Thai migrant workers lost their lives. This topic is closely tied to the concept of ESG (Environmental, Social, and Governance), as the integration of AI in corporate disaster prevention falls under the domain of governance. By strengthening governance, a company can more effectively influence both environmental and social outcomes.