Wei-Bin Lee

CEO
Hon Hai Precision Industry Co., Ltd.
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Dr. Wei-Bin Lee received his Ph.D. from National Chung Cheng University, Taiwan, in 1997. Since 1999, he has been with the Department of Information Engineering at Feng Chia University, Taichung, Taiwan, where he currently holds the position of professor.
 
Currently, Dr. Lee serves as the CEO of the Hon Hai Research Institute and the Director of the Information Security Research Center. He is also the Chief Information Security Officer at Foxconn Group, where he oversees the advancement of scientific research and leads the Group's cybersecurity strategy and governance framework.
 
Before joining Foxconn Group, Dr. Lee held several notable positions, including Commissioner of the Information Technology Department of Taipei City Government, Chief Digital Officer at Taipei Fubon Bank, Chief Innovation Officer at Fubon Financial Holdings, and Chief Information Officer at Feng Chia University. Additionally, he has been a visiting professor at Carnegie Mellon University in the United States and the University of British Columbia in Canada.
 
Dr. Lee's research interests encompass CT/OT security, cryptography, AI for security, security in AI, and information security governance. Dr. Lee's expertise, leadership roles, and extensive experience across academic, governmental, and corporate sectors underscore his ongoing commitment to advancing knowledge, practice, and innovation in the fields of cybersecurity and information technology. ​​​​​​​​​​​​​​​​

Speech title & Synopsis

AI is Transforming Healthcare: Understanding Pandora's Box to Unleash Evolving Potential

AI is reshaping the healthcare landscape at an accelerating pace, driving innovation and streamlining processes. However, this transformative journey is fraught with inherent complexities and an 'expectation gap', which often leads to pilot projects failing to deliver the desired results due to misaligned goals or a lack of clear problem-solving.
 
Underpinning this complexity and expectation gap is the critical challenge of cybersecurity. All AI-driven healthcare initiatives must prioritize robust cybersecurity. Not only does AI interact with existing legacy systems, but it also introduces novel risks itself. Unfortunately, healthcare has been the most expensive industry for data breaches for fourteen consecutive years. The substantial value of AI's data appetite further amplifies its attractiveness to attackers. Therefore, building trust is paramount for AI adoption.
 
As cybersecurity incidents erode confidence, patients and providers alike hesitate to embrace AI without guaranteed security and privacy. Addressing core cybersecurity challenges, AI-specific risks such as prompt injection and data poisoning, and crucial ethical considerations like algorithmic bias and accountability are essential to empower the entire ecosystem and ensure AI's secure and truly transformative future in healthcare.