HACKATHON LEGAL DESIGN, LLM, XAI, AI RIGHTS - DEADLINE: 10 July 2025 the pitch and the main idea

The goal is to create a non-textual representation of the AI Act rights using LLMs, Hybrid AI, Knowledge Graphs, integrated with the FRIA (Fundamental Rights Impact Assessment) approach.

  • Date:

    29 JULY
    -
    30 JULY 2025
     

  • Event location: Ravenna, via Oberdan 1, Italy

Highlights

GOAL: The goal is to create a non-textual representation of the AI Act[1] rights, with particular regard to implement the transparency and explicability (XAI) principle, using LLMs, Hybrid AI (including symbolic AI), Knowledge Graphs, integrated with the FRIA (Fundamental Rights Impact Assessment) approach.

Privacy, IRP, Discrimination and Bias issues should be taken into consideration in the solution by-design.

 

The target of the outcome could be:

 

  1. Citizen
  2. Lawyers
  3. Judge
  4. Company
  5. Institutions

 

WHO: This hackathon is addressed to students and PhD candidates from all Universities, start-up, post-doc.

DEADLINE: 10 July 2025 the pitch and the main idea.

 

DATASET: AkomaNtoso datasets

 

OUTPUT of HACKATHON: We require the following results:

  1. Description of the scenario
  2. User persona description
  3. Legal hypothesis and legal concept analysis
  4. Visual representation and evaluation
  5. Example of application and legal interpretation
  6. Connection with the Digital Rights
  7. Attention to the digital divide and multilingualism.

 

AWARD: First position, runner-up. Amazon bonus.

 

[1] https://eur-lex.europa.eu/eli/reg/2024/1689/oj

CRITERIA FOR THE PRELIMINARY SELECTION OF THE 10 GROUPS:

  1. Creativity and Innovation of the idea - 5
  2. Completeness of the team competencies 5
  3. Interdisciplinarity and Methodology 5
  4. Feasibility 5

Total 20

 

CRITERIA FOR THE HACKATHON:

  1. Creativity and Innovation of the idea 5
  2. Interdisciplinarity and Methodology 5
  3. Legal analysis 2
  4. Ethics analysis 2
  5. User persona analysis 3
  6. Original Design product 5
  7. Dataset explanation 3
  8. XAI solution using LLM/KG 5
  9. Evaluation and interpretation output 5
  10. Technical robustness 5

Total 40

 

JURY:

Monica Palmirani, Salvatore Sapienza, Michele Corazza, University of Bologna, ALMA-AI

Giorgia Bincoletto, University of Trento

Arianna Rossi, Scuola Sant’Anna Pisa

Gianni Sinni, IUAV Venezia

Barbara Pasa, IUAV Venezia

Fabio Vitali, University of Bologna

Marianna Bolognesi, University of Bologna

Rossana Ducato, University of Aberdeen, School of Law

Claudia Morelli, giornalista e avvocato esperto di innovazione e comunicazione

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