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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

Investigadores principales

PRZYBYLA, Piotr Michal