TY - JOUR T1 - The 3S Process: A Framework for Teaching AI Strategy in Business Education JF - Technology Innovation Management Review Y1 - 2019 A1 - Navneet Bhalla KW - 3S Process KW - artificial intelligence KW - Business Education KW - design thinking KW - Harvard Case Method AB - A gap has emerged in teaching artificial intelligence (AI) in business education, where a style of curriculum based on strategy is missing. This article presents a new framework, the 3S Process, as a method for teaching leaders how to strategically adopt AI within their organizations. At a high-level, the 3S Process consists of three stages (Story, Strategy, and Solution), which are described in detail in the article. Stage 1: Story in the process is inspired by the Harvard Case Method to provide context for a problem. Stage 2: Strategy uses Design Thinking to produce candidate solutions. The substage of Empathy in Design Thinking plays a crucial role to reduce bias in designing AI. Virtualization technology is a tool for students to experience hands-on learning in prototype development. Stage 3: Solution is where students advocate for their conceptual AI solution in the context of the case study. AI is a type of complex system; therefore, students should consider feedback loops and the potential for unintended biases to enter a deployed solution. The presentation of the 3S Process in this article is conceptual. Further empirical studies, including evaluations of the 3S Process in classroom settings, will be considered in the future. PB - Talent First Network CY - Ottawa VL - 9 UR - timreview.ca/article/1290 IS - 12 U1 - University College London & Cetana AI Navneet Bhalla, PhD, is a Senior Honorary Research Associate at University College London, in the Department of Computer Science, and a member of Intelligent Systems Group. He is also the founder of Cetana AI Inc., a consultancy specializing in artificial intelligence. Prior to starting the consultancy, Navneet was a postdoctoral fellow at Harvard University (in the Department of Chemistry and Chemical Biology), at Cornell University (in the Department of Mechanical and Aerospace Engineering), and at the Universität Paderborn (in the Department of Computer Science). His research interests include self-assembling systems, machine learning, soft robotics, mechanical design, composite materials, and innovation management. ER -