I am excited to share my new paper draft with Hideyuki (“Yuki”) Matsumi, The Prediction Society: Algorithms and the Problems of Forecasting the Future. The paper is available for free on SSRN.
Yuki is currently pursuing a PhD at Vrije Universiteit Brussel. Yuki began his career as a technologist, then turned to law, where he has been exploring predictive technologies for more than a decade. The origins of this article trace back to 2011, when Yuki was my student. I supervised Yuki’s thesis about predictive technologies. His work was way ahead of its time. I am beyond thrilled to join him now on exploring these issues. Writing this paper with Yuki has been a terrific experience, and I have learned a tremendous amount in working with him.
We aim to add a unique and important contribution to the discourse about AI, algorithms, and inferences by focusing specifically on predictions about the future. We argue that the law should recognize algorithmic predictions about the future as distinct from inferences about the past and present. Algorithmic predictions about the future present a special set of problems that aren’t addressed by the law. The law’s existing tools and rights are ill-suited for predictions. We examine in depth the issues the law must consider when addressing these problems.
I’m really happy about how the paper turned out, and I want to note that I played but a supporting role. Yuki has been the driving force behind this paper. I joined because I find the issues to be fascinating and of the utmost importance, and I believe we have something important to add to the discussion. We welcome feedback.