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Society-Aware Machine Learning: The paradigm shift demanded by society to trust machine learning.

Project description

A society-aware approach for fair algorithms

Artificial intelligence (AI) is employed in many sensitive areas, stirring the debate about fairness and bias. To ensure AI meets all fairness and trust criteria, there is a need for technology designers to engage all relevant stakeholders in machine learning development. This is where the EU-funded SAML project steps in. The aim is to develop a completely new methodological approach for the development of machine learning algorithms. The approach will take into account the interests of all parties affected by an algorithm and will ultimately contribute to fairer machine learning applications that are accepted by society.

Coordinator

UNIVERSITAT DES SAARLANDES
Net EU contribution
€ 1 499 845,00
Address
Campus
66123 Saarbrucken
Germany

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Region
Saarland Saarland Regionalverband Saarbrücken
Activity type
Higher or Secondary Education Establishments
Other funding
€ 0,00