Abstract
Computational argumentation is a field of interdisciplinary research that emerged to
as a paradigm of representation of knowledge and reasoning
and currently has applications in various areas of AI, such as decision-making,
multi-agent systems and natural language processing, as well as in specific domains
application, such as the automatic analysis of debates and opinion articles, detection and analysis
of disinformation, automatic negotiations, healthcare and legal reasoning. The
argumentation also plays an important role in the design and development of technologies
to maintain or change human thought and behavior using
persuasive techniques.
Given its close relationship with natural language processing, with the rise of models
AI-based language generatives, the area faces multiple challenges. Argumentation
computer offers a way to critically examine both training data and
outputs from these models, and helps identify, explain and correct gender biases, which
is crucial for the development of fair and accountable AI technologies.
VRAIN of the UPV is working on the development of argumentative technologies
from different perspectives such as its application in recommendation systems and
decision making in educational and health contexts, its application in virtual societies
of humans and agents, where agents act as virtual assistants for humans, their
use on social media, their ability to persuade users and bring about changes in their
thinking and behavior through argumentation techniques and his ability to analyze text
and detect underlying patterns and lines of reasoning, identifying misinformation and
bias.