2 citations · 2 across the 9 of their papers we have counts for
4 papers · 1 filter
Who Decides What Is Harmful? Content Moderation Policy Through A Multi-Agent Personalised Inference Framework
Ewelina Gajewska, Michal Wawer, Katarzyna Budzynska +1
The increasing scale and complexity of online platforms raises critical policy questions around harmful content, digital well-being, and user autonomy. Traditional content moderati…
The Lovelace Test of Intelligence: Can Humans Recognise and Esteem AI-Generated Art?
Ewelina Gajewska
This study aims to evaluate machine intelligence through artistic creativity by employing a modified version of the Turing Test inspired by Lady Lovelace. It investigates two hypot…
Leveraging a Multi-Agent LLM-Based System to Educate Teachers in Hate Incidents Management
Ewelina Gajewska, Michal Wawer, Katarzyna Budzynska +1
Computer-aided teacher training is a state-of-the-art method designed to enhance teachers' professional skills effectively while minimising concerns related to costs, time constrai…
Predicting the winner of the US 2024 elections using trust analytics
Katarzyna Budzynska, Ewelina Gajewska
A number of models and techniques has been proposed for predicting the outcomes of presidential elections. Some of them use information on the socio-economical status of a country,…