12 February
In this panel debate we discuss if algorithmic fairness is possible. We ask how effective are current EU and national policies in addressing bias, discrimination, and risk in AI systems? How do we translate principles into practice?
This session, hosted by the Ministry of Justice and Digitalisation of Estonia, will focus on key elements to build confidence that ADM systems are fair. Which assurance methods work, and what barriers remain?
Public authorities are expected to innovate rapidly with ADM systems, yet they also carry unique legal and ethical responsibilities. This session will explore how innovation in governance can align with principles of accountability, transparency, and rights protection.
In this session, hosted by the Estonian Equality Commissioner’s Office, we discuss how public participation and inclusive design can strengthen fairness in AI.
There is increasing awareness of the possibility that bias or discrimination can occur where AI is used to make or support decisions. This talk will examine how the tests for direct and indirect discrimination under EU law apply to AI. The talk will then consider how such discrimination can be tackled through legal mechanisms, and whether current legal protections are adequate to ensure that AI discrimination can be detected and addressed.