# The Transform-o-meter: A method to forecast the transformative impact of innovation

arXiv: https://arxiv.org/abs/2208.04711 · HTML: https://mlsanity.com/paper/2208.04711/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 8 references that are in the map.
- First posted on arXiv 15 Jul 2022.

## Builds on (most cited first, 2 of 2)

- [XGBoost: A Scalable Tree Boosting System](https://mlsanity.com/paper/1603.02754/) (2016)
- [The Transformative Potential of Artificial Intelligence](https://mlsanity.com/paper/1912.00747/) (2019)

## Abstract (arXiv)

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.