Artificial Intelligence for Autonomous Innovation

Abstract

This thesis explores how artificial intelligence can transform the innovation process by applying it to the Design Thinking Double Diamond framework. Despite AI's transformative potential, research on its potential for innovation remains fragmented, lacking a systematic mapping of AI technologies and their capabilities to established frameworks and processes. Addressing this gap, this study examines how diverse AI technologies can be applied across all phases of the Double Diamond model—Discover, Define, Develop, and Deliver—extended by two additional phases, Align (before) and Continue (after), to enhance its practical applicability for business applications. Using a comprehensive methodology that combines a literature review, expert interviews with leaders in AI-based innovation, and focus group workshops with industry practitioners, this research identifies and categorizes AI technologies based on their potential and importance for each phase of the innovation process. The proposed framework systematically maps specific AI technologies to individual innovation activities, providing practical guidance for organizations integrating AI into their innovation strategies. By defining the roles of AI within each phase and highlighting its unique advantages, the study offers actionable insights for leveraging AI effectively. Additionally, the thesis introduces a conceptual "Innovation Compound" as a blueprint for developing future AI-driven innovation systems that enhance employees’ capabilities and enables semi-autonomous innovation within business organizations.

Date of Award	2024
Original language	English
Supervisor	Kristiana Roth (Supervisor)