Building Human Systems of Trust in an Accelerating Digital and AI-Driven World
Building Human Systems of Trust in an Accelerating Digital and AI-Driven World
Yoshija Walter
TLDR
Already with the standard algorithms employed today, it has become difficult to discern fact from fabricated materials—sometimes even deliberately exploited through “fake news” and “disinformation campaigns”.
Abstract
We have become accustomed to navigating ourselves not only in the physical but also in the digital world. Both people in modern societies as well as AI-systems “learning” online make use of publicly available information online known as open source intelligence, or, OSINT (Glassman and Kang, 2012; Chauhan and Panda, 2015; Weir, 2016; Quick and Choo, 2018; González-Granadillo et al., 2021; Sebyan Black and Fennelly, 2021). One of the main challenges in this domain is that it has become difficult to discern fact from fabricated materials—sometimes even deliberately exploited through “fake news” and “disinformation campaigns” (Sood and Enbody, 2014; Martinez Monterrubio et al., 2021; Petratos, 2021; Beauvais, 2022; Giachanou et al., 2022; Lin et al., 2022; Rai et al., 2022). Already with the standard algorithms employed today, we are continuously facing three looming problems: