The compatibility of ADM and AI with fundamental rights is among the most crucial issues affectingthe current technological revolution. Up to today, there is an uncertain balance by the efficiency and potential social benefits of these technologies with the respect for general principles and fundamental rights such as non- discrimination, protection of personal data, access to justice, independence and impartiality of judges.
As a result, cases on the compliance of ADM and AI with fundamental rights will emerge and courts will be faced with the need to strike a balance in very different contexts: from the assessment of means of proof in judicial proceedings to judicial review of decisions by public administration, to liability cases concerning the use of ADM in the medical sector.
Provide an analytical framework on the underlying mechanisms of ADM and their use in different contexts (judicial, administrative, health, consumer markets) .
Provide guidance for judges and lawyers in translating ADM mechanisms into legal categories to ensure compliance with FRs and the rule of law.
Provide a consistent and coherent interpretation of EU general principles and FRs in case law and upcoming legislation related to ADM based on AI .
Facilitate mutual learning among judges, legal professionals and technical experts.
Disseminate the best interpretative practices by national judiciaries.
Consolidate and enlarge the network of trainers for judges set up through previous projects.
The project will explore how algorithmic decision-making (ADM) impacts the rights to effective justice and good administration. Judges are at the crossroads between the algorithmic black box of ADM and its impact on citizens, consumers, and society as a whole.
Therefore, the project will improve the understanding of algorithmic decision-making, shedding light on their legal implications for ensuring fundamental rights such as the right to a fair trial, the right to fair administrative procedures, and other fundamental principles such as non-discrimination.