System Innovation in an AI-Driven World: Applied System Innovation XII

Description

As artificial intelligence fundamentally restructures contemporary socio-technical infrastructure, reductive technological paradigms fail to capture emerging institutional complexities. System Innovation in an AI-Driven World establishes a rigorous theoretical framework for transitioning from discrete algorithmic deployment to comprehensive systemic transformation. This volume equips scholars... Read more

As artificial intelligence fundamentally restructures contemporary socio-technical infrastructure, reductive technological paradigms fail to capture emerging institutional complexities. System Innovation in an AI-Driven World establishes a rigorous theoretical framework for transitioning from discrete algorithmic deployment to comprehensive systemic transformation. This volume equips scholars and strategic architects with the epistemological and methodological tools required to analyze, model, and govern complex socio-technical transitions under the influence of pervasive automation.

The monograph interrogates the dialectical relationship between advanced computational architectures—specifically deep neural networks, autonomous multi-agent systems, and predictive modeling—and legacy institutional frameworks. Utilizing cross-disciplinary case studies from cyber-physical systems, public health logistics, and decentralized socio-ecological regimes, the text explicates the mechanics of systemic innovation within volatile technological landscapes. The foundational findings indicate that optimal AI integration is not a function of raw algorithmic efficacy; rather, it depends on systemic absorptive capacity, adaptive regulatory polycentricity, and dynamic feedback integration. The research offers structural typologies for mapping non-linear systemic feedback loops, mitigating algorithmic opacity, and synthesizing human-machine governance frameworks. Consequently, the volume demonstrates that sustainable institutional efficacy resides in embedding computational intelligence within fundamentally reconceptualized, non-linear system architectures.

This volume is explicitly designed for academic researchers, systems theorists, computational sociologists, and advanced policymakers. It constitutes an indispensable resource for graduate-level seminars and senior scholars investigating the intersection of technology policy, complex adaptive systems, and institutional design amid the contemporary digital transition.

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Editor(s)

Biography

Dr. Artde D.K.T. Lam was born in Hong Kong on February 23, 1965. He received the B.S. degree in mechanical engineering from National Cheng Kung University (NCKU), Tainan, Taiwan, in 1987, and the Ph.D. degree in mechanical engineering (in field of mechanical design) from National Sun Yat-Sen University (NSYSU), Kaohsiung, Taiwan, in 1993. Currently, he is a Distinguished Professor in School of Jewelry, West Yunnan University of Applied Sciences, Da Li City, P. R. China. His current research interests include nanotechnology, innovation design, creative design and Fractal Theory.

Dr. Siu-Tsen Shen has studied widely, gaining her Master degree in Industrial Design Research from the Design Academy of Eindhoven, and her PhD in Design from Goldsmiths College, University of London. She has been a visiting professor at UCL and Middlesex University, UK and is currently a Professor in Multimedia Design at the National Formosa University, Taiwan. Her research interests lie in the areas of HCI, User-Centred Design, Cross-Cultural Research, User Interface Design, and Design Team Formation using Personality Type. She has taught on a number of different programmes including Introduction to Multimedia Design, Creative Thinking & Design Methods, Cognitive Psychology and Emerging Technology. She is an editor in chief in Journal of Multimedia Art, Design and Education (MADE) (ISSN 2634-095X; ISSN 2634-1395) and Journal of Cultural and Creative Industries Research (ISSN 2221-6170). She leads a technical committee for Innovation in Design, Communication and Engineering (ICICE) and International Conference on Applied System Innovation (ICASI).

Dr. Stephen D. Prior has been working in the area of Field Robotics for the past 30 years. His research interest in autonomous systems relates to a shortlisted entry to the MoD Grand Challenge event in August 2008, where he led a team to design, make and test a novel drone, which consisted of a patented Y6 arrangement. On the basis of this, he founded the Autonomous Systems Lab and has been researching with a small team of staff/students working on defence-related robotic technologies. His team won the DARPA UAVForge competition in 2012, and he continues to lead teams to success in the annual IMechE UAS Challenge event. He is on the editorial board for the International Journal of Micro Air Vehicles & Unmanned Systems and has published widely on the subject. During the last few years he co-founded a Tethered UAS company developing a persistent stare capability and is the CEO of Hybrid Drones Ltd, who are developing a heavy-lift hybrid, last-mile resupply drone.

Dr. Sheng-Joue Young was born in Tainan, Taiwan on June 22, 1981. He received his B.S. degree from Department of Physics, National Changhua University of Education, Changhua, Taiwan in 2003, M.S. and Ph.D. degree from Institute of Electro-Optical Science and Engineering and Institute of Microelectronics, National Cheng Kung University (NCKU), Taiwan in 2005 and 2008, respectively. He was a visiting research student with the Graduate School of Engineering, Chiba University, Chiba, Japan from July 2007 to September 2007. In 2010, he became an Associate Professor with the Department of Electronic Engineering, National Formosa University (NFU), Yunlin, Taiwan, and was promoted to Associate Professor on August 01, 2013. He is also a Distinguished Professor of the Institute of Creative Industries Research, Fuzhou University; period from Jan. 1, 2014 to Dec. 31, 2014, and guide the Institute to carry out academic research. His current research interests include semiconductor physics, optoelectronic devices and nanotechnology. He has published more than 100 SCI and EI papers in recent years.

Dr. Liang-Wen Ji received the B.S. degree in physics, the M.S. degree in material science, and the Ph.D. degree in electrical engineering from National Cheng Kung University (NCKU), Tainan, Taiwan. In 2005, he became an Associate Professor with the Institute of Electro-Optical and Materials Science, National Formosa University (NFU), Yunlin, Taiwan, and was promoted to Full Professor in 2007. His current research interests include semiconductor physics, optoelectronics, and nanotechnology. He is a iTIKI Fellow. He is also a member of IEEE.

System Innovation in an AI-Driven World Applied System Innovation XII

Description

Table of Contents

Editor(s)

Biography

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