Navigating AI Transformation

Dr. Kejia Hu is an Associate Professor at Saïd Business School, University of Oxford, and Founding Director of the Human-AI Interaction (HAI) Lab. Her work focuses on how organizations transform through AI, combining insights from human–algorithm collaboration, service system design, and data-driven decision-making. She is the Program Director of the Diploma in AI for Business (DipAI), where she leads executive education on AI strategy and transformation for global business leaders. Her research and industry collaborations—spanning Fortune 500 companies and leading technology firms—examine how AI reshapes organizational processes, decision-making, and value creation. Dr. Hu’s work has been published in top-tier journals and widely recognized for bridging academic rigor with practical relevance in AI innovation, governance, and risk. Tian Wu, Baidu Corporate Vice President, Deputy Director of National Engineering Laboratory for Deep Learning Technology and Applications. With her leadership, Baidu AI Technology group is making efforts in developing cutting-edge technologies in Machine learning, Deep learning, Data Mining, Natural Launguge Processing, that are widely applied in Baidu products and industrial applications. Among which, PaddlePaddle is the first open-source deep learning platform in China, ranking first in the deep learning platform market in China. And the industrial level knowledge-enhanced large model ERNIE is the foundation model for the new knowledge-enhanced large model ERNIE Bot. Tian Wu has been awarded the First Prize of Scientific and Technological Progress Award of Chinese Institute of Electronics four times and won the 22nd China Patent Gold Award. Sum Lam studied science at The Chinese University of Hong Kong (BSc) and Harvard Medical School (MSc), business at the University of Oxford (EMBA), and law at Tsinghua University (JD), King’s College London (MA), and the University of California, Berkeley (LLM, Dean’s List). He is a global lawyer admitted to practise in the United States (Washington State and Federal Courts), England & Wales (Solicitor Advocate, Civil and Criminal Proceedings), Ireland (Solicitor), and China (Attorney-at-Law). A seasoned patent attorney, he has specialised in technology law for more than two decades. Six of his cases were selected by tribunals and courts, including the Supreme Court, as “Case of the Year”. As a jurist and scholar, he has authored seven scholarly works primarily focused on technology law, including contributions to the Halsbury’s Laws series. He currently serves as Chairman of the Hong Kong Chinese Patent Attorneys Association (HKCPAA), Vice-President of the Hong Kong Institute of Patent Attorneys (HKIPA), and Head of Patents (Greater China) at Eversheds Sutherland. He previously led the Intellectual Property and TMT practice at Squire Patton Boggs (Hong Kong). Jasper Shi Da Xu is currently the China Consulting Markets Leader and is also the Lead Partner of Global Enterprise Risk & Controls Services of PricewaterhouseCoopers. He has over 29 years of experience working in China, Canada, and the U.S., providing a wide range of assurance and advisory services, including risk consulting, internal audit, internal controls, Sarbanes-Oxley S404 advisory, and corporate governance services to multinational and Chinese companies. Recently, Jasper has been one of the key drivers of the digitalization and AI transformation of consulting service solutions. He is a member of the Chinese Institute of Certified Public Accountants (CICPA), a Certified Internal Auditor (CIA), a fellow member of the Institute of Chartered Accountants in England and Wales (ICAEW), and holds an MBA.

• Preface.- Introduction: Why AI Adoption Does Not Equal AI Transformation.- Legal Perspective: The Algorithmic Trinity: Legal Frameworks for AI Inputs, Systems, and Outputs.- Manufacturing.- Logistics and Supply Chain.- Technology.- Media, Gaming and Entertainment.- Energy and Utilities.- Professional Services.- Agriculture/AgTech.-  Education/EdTech.- Telecommunications & Connectivity.- General Administration.- Retail and E-commerce.- Automotive.- Healthcare Systems.- Pharmacy & Distribution.- Consumer Health & Wellness.- Banking & Financial Services.- Insurance & Risk Services.- Fintech, DeFi & Embedded Intelligence.