Learning from the Past: How Previous Technological Transformations Can Guide AI Development
This work addresses the problem of ensuring beneficial AI development for society, but it is incremental as it applies existing historical analysis methods to AI without introducing new technical innovations.
The paper tackles the challenge of guiding AI development by analyzing historical technological transformations like computing and the web to identify pitfalls and solutions, aiming to help AI reach its full potential for societal and economic goals.
Artificial Intelligence (AI) is rapidly changing many areas of society. While this transformation has tremendous potential, there are several challenges as well. Using the history of computing and the world-wide web as a guide, in this paper we identify pitfalls and solutions that suggest how AI can be developed to its full potential. If done right, AI will be instrumental in achieving the goals we set for the economy, the society, and the world in general.