ERINIA
ERINIA: Evaluating the Robustness of Non-Credible Text Identification by Anticipating Adversarial Actions (2022-2024)
ERINIA: Evaluating the Robustness of Non-Credible Text Identification by Anticipating Adversarial Actions (2022-2024)
The researcher will 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?
Funding Programme: Marie Sklodowska-Curie Actions
Instrument: Postdoctoral Fellowship
Role: Individual project
Dates: 2022-2024