ERINIA
ERINIA - Evaluating the Robustness of Non-Credible Text Identification by Anticipating Adversarial Actions
Within ERINIA, we analyse the emerging content filtration methods to see if they deliver on their promises. Can AI accurately detect non-credible text, such as fake news? Can human adversaries fool such automatic filters? What other harms could this technology bring about?
Members
- Piotr Przybyła (main researcher)
- Horacio Saggion (supervisor)
Engineering and Information and communication Technologies Department
Edifici Tànger (campus del Poblenou)
Tànger, 122-140
08018 Barcelona
The ERINIA project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement No 101060930.
Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.