In this talk Stark argues that ML-driven science involving certain categories of data is fundamentally 카지노 게임 컬렉션渃onjectural.카지노 게임 컬렉션� Such 카지노 게임 컬렉션渃onjectural science카지노 게임 컬렉션� produces conclusions reliant on post-facto interpretation: partial inductive insights misinterpreted as widely applicable deductive truths. Elaborating on the notion of 카지노 게임 컬렉션渃onjectural science카지노 게임 컬렉션� as developed by Italian historian Carlo Ginzburg, he applies the history of the 카지노 게임 컬렉션渃onjectural sciences카지노 게임 컬렉션� to their contemporary instantiations in machine learning research and aiming to clarify some of the ways in which the use of ML systems is appropriate or inappropriate, not only practically but also conceptually. The appeal of AI-driven predictive statistical analyses, paired as they are with very large data sets to be analyzed, is that the conclusions drawn from that data about individual humans can be understood as measurable and repeatable through sheer quantity of data. However, he argues that AI techniques, when applied to data about humans and the social world, are conjectural science raised to its most acute form. Though AI analysis of human behaviors and societies aspire to the epistemological norms of 카지노 게임 컬렉션渘atural카지노 게임 컬렉션� science, in many cases, AI does not support such science as commonly understood.

Luke Stark is an Assistant Professor in the Faculty of Information and Media Studies at Western 카지노게임사이트 in London, ON. His work interrogates the historical, social, and ethical impacts of computing and AI technologies.