Projects funded by the NCN

Detecting and overcoming bias in data with explainable artificial intelligence

Call: PRELUDIUM 18 , Panel: ST6

Principal investigator: dr Agnieszka Mikołajczyk-Bareła

Politechnika Gdańska

eXplainable Predictive Maintenance

Call: CHIST-ERA2019 , Panel: ST6

Principal investigator: prof. Grzegorz Nalepa

Uniwersytet Jagielloński

Interpretability of Deep Neural Networks for Radiomics

Call: CHIST-ERA2019 , Panel: ST6

Principal investigator: dr Neo Christopher Chung

Uniwersytet Warszawski

Citizen empowerment through online terms of service review: an automated transparency assessment by explainable AI

Call: OPUS 18 , Panel: HS5

Principal investigator: prof. Hans Wolfgang Micklitz

Instytut Nauk Prawnych Polskiej Akademii Nauk

XAICancer: Explainable Artificial Intelligence for Cancer Imaging

Call: SONATA BIS 13 , Panel: ST6

Principal investigator: dr Neo Christopher Chung

Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

DeMeTeR: Interpreting Diffusion Models Through Representations

Call: PRELUDIUM BIS 5 , Panel: ST6

Principal investigator: prof. Przemysław Biecek

Uniwersytet Warszawski

HOMER: Human Oriented autoMated machinE leaRning

Call: SONATA BIS 9 , Panel: ST6

Principal investigator: dr hab. Przemysław Biecek

Politechnika Warszawska, Wydział Matematyki i Nauk Informacyjnych

Social Explainable Artificial Intelligence

Call: CHIST-ERA2019 , Panel: ST6

Principal investigator: prof. Stanisław Matwin

Instytut Podstaw Informatyki Polskiej Akademii Nauk

Philosophical Analysis of the Black Box Problem: Scientific Understanding and Explainable Artificial Intelligence

Call: PRELUDIUM 22 , Panel: HS1

Principal investigator: Marcin Rabiza

Instytut Filozofii i Socjologii Polskiej Akademii Nauk, Szkoła Nauk Społecznych

Application of explainable artificial intelligence algorithms in order to improve imbalanced data methods

Call: PRELUDIUM 23 , Panel: ST6

Principal investigator: Weronika Węgier

Politechnika Wrocławska

ARES: Attack-Resistant Explanations toward Secure and trustworthy AI

Call: PRELUDIUM BIS 3 , Panel: ST6

Principal investigator: dr hab. Przemysław Biecek

Uniwersytet Warszawski

GeoSpatial AI-Driven Risk Assesment of Child Malnutrition. Unreveling the Intersectional Determinants.

Call: PRELUDIUM 23 , Panel: HS4

Principal investigator: Muhammad Usman

Uniwersytet Warszawski