Project number:
Title of the project:
Advancing Guidelines for RESponsible Machine Learning (RESML)
Grant scheme:
Project type:
European Projects
Project duration (start):
Project duration (end):
Principal investigator for FCFT:
Michal Kvasnica

RESponsible Machine Learning (RESML) proposes a unique synergy between the social sciences and information sciences for shaping the future of machine learning modelling techniques. RESML, through an innovative interdisciplinary approach bridges the discipline gap and integrates nonquantifiable data into models for the advancement of the accountable, responsible, interpretable, and bias-free machine learning models. Principal guidelines for ethical machine learning modelling are proposed and implemented for the first time. RESML contributes to developing new EU regulations toward customer policies and privacy in accessing responsible artificial intelligence, and further supports handling the societal challenges of Horizon 2020, the EU Green Deal, and the European Flagship Initiative by effectively regulating ethical machine learning.


Responsibility for content: prof. Ing. Michal Kvasnica, PhD.
Last update: 07.02.2022 11:15
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