Dr Antti Lyyra is an LSE Fellow in Information Systems and Digital Innovation in the Department of Management at the London School of Economics.
His research focuses on digital innovation and transformation in the context of artificial intelligence (AI) and robotics. From social and organisational perspectives, the development and application of AI technologies alter how people and organisations make sense of information or decide on what actions to take. AI technologies also control how robotic systems such as autonomous vehicles behave and interact with those who share the same environment. In other words, AI technologies recast the foundations and locales of sense and decision making.
To study the organisation of AI-based innovation, Dr Lyyra’s recent research has focused on product architectures, value chains, and development processes. Using a historical approach, his research traces and analyses the development and evolution of Tesla Autopilot and the Robot Operating System, seeking to explicate the characteristics that separate AI and robotics innovation from other forms of digital and product innovation. Product architectures and value chains offer a way to analyse how skills, investment, technologies, data, control, negotiation power, and gains can be distributed among the firms and actors taking part in technological innovation, whereas the historical approach provides a broader perspective to technological evolution. In addition, he has three years of professional experience in the autonomous vehicle industry as a lead strategy, market, and operations analyst at Oxbotica.
Dr Lyyra teaches three courses in MSc in Information Systems and Digital Innovation (MISDI) programme. The course Innovation and Information Systems – Concepts and Perspectives (MG487) offers theoretical foundations to study digital innovation and related organisational and social change. Data Governance – Privacy, Openness and Transparency (MG492) provides a detailed consideration of the key elements of the concept of informational privacy, the open data movement and transparency, whereas Research Design for Studies in Digital Innovation (MY401) teaches how to develop coherent and methodologically sound research projects.
Prior to his research and work in AI, robotics, and autonomous vehicles at LSE and Oxbotica, he worked for eight years in leading consulting, leading business process development and technical development in work in global programmes in the telecommunication and automotive industries.
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Information Systems and Innovation Faculty Research Group