Artificial intelligence (AI) systems will increasingly be used to cause harm as they grow more
capable. In fact, AI systems are already starting to help automate fraudulent activities, violate …

When evaluating automated systems, some users apply the “positive machine heuristic”(ie
machines are more accurate and precise than humans), whereas others apply the “negative …

Effective content moderation by social platforms is both important and difficult; numerous
issues arise from the volume of information, the culturally sensitive and contextual nature of …

Annotation tools are an essential component in the creation of datasets for machine learning
purposes. Annotation tools have evolved greatly since the turn of the century, and now …

Purpose This paper aims to offer practical guidance on teaching about digital extremism–
defined here as the intersection of digital disinformation campaigns with political extremism …

As efforts to identify and remove online terrorist and violent extremist content have
intensified, concern has also grown about so‐called lawful but awful content. Various …

This article explores the cooperation of government and the private sector to tackle the
ethical dimension of artificial intelligence (AI). The argument draws on the institutionalist …

Algorithmic intermediaries govern the digital public sphere through their architectures,
amplification algorithms, and moderation practices. In doing so, they shape public …

When platforms use algorithms to moderate content, how should researchers understand
the impact on moderators and users? Much of the existing literature on this question views …

Study supporting the impact assessment of the AI regulation Page 1 Written by: Andrea Renda
(project leader), Jane Arroyo, Rosanna Fanni, Moritz Laurer, Agnes Sipiczki, Timothy Yeung …