The Transform-o-meter: A method to forecast the transformative impact of innovation
This addresses the need for better forecasting tools in innovation management, especially for AI, but it is incremental as it builds on existing methods and lacks concrete validation.
The paper tackles the problem of measuring and forecasting the transformative impact of innovation, particularly for Transformative Artificial Intelligence, by introducing the Transform-o-meter methodology, which can be applied to any innovation, but it is presented as a first approach requiring further iteration and research.
With the advent of Transformative Artificial Intelligence, it is now more important than ever to be able to both measure and forecast the transformative impact/potential of innovation. However, current methods fall short when faced with this task. This paper introduces the Transform-o-meter; a methodology that can be used to achieve the aforementioned goal, and be applied to any innovation, both material and immaterial. While this method can effectively be used for the mentioned purpose, it should be taken as a first approach; to be iterated, researched, and expanded further upon.