Justice, fundamentaL rIghts and Artificial intelligence (JuLIA)

With a view to the upcoming developments in the EU legal framework on artificial intelligence (AI), the JuLIA project focuses on the protection of fundamental rights (FRs) affected by (semi-)automated decision making (ADM). How does ADM affect 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. This Project will improve the understanding of algorithmic decision making – in judicial, administrative, professional contexts and in the markets – shedding light on its legal implications for fair trial, fair administrative proceedings and other FRs and principles like non-discrimination.

The Project will deliver the following training tools:

• 5 handbooks featuring simulations of ADM in hypothetical cases based on caselaw, EU general principles and upcoming EU legislation
• 6 transnational training events involving 192 trainees and including justice laboratories (JLs) for simulations of ADM in hypothetical cases
• 7 online JLs in all partner countries to reach out a wider audience (140 trainees)
• 4 e-learning modules (1 introductory and 3 context-specific) making the outcomes of JLs available for wider use in training
• a project website including a case-law database
• final conference.

The project is expected to:

• provide a legal analytical framework of ADM and their use in different contexts (judicial, administrative, health, consumer markets),
• provide judges and lawyers with guidance 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, lawyers and technical experts,
• disseminate the best interpretative practices by national judiciaries,
• consolidate and enlarge the network of trainers for judges created in previous projects.