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:
Event location: CIRSFID - ALMA AI, Bologna, via Galliera 3, Italy
WINNERS
FIRST AWARD: CLARITY86 – Elena Della Valentina, Marta Zoppello, Edoardo Cecchinato, a tool to help citizens understand and exercise their right to receive clear and meaningful explanations under Article 86 of the EU AI Act.
SECOND AWARD: AI Act Prohibitions Checker –Imane Hmiddou, Alessandro Aygun Suleyman, Azam Bakhshandeh, a solution to make prohibited AI practices under Article 5 of Regulation (EU) 2024/1689 easier to understand and apply.
THIRD AWARD: LEXAI –Simone Vagnoni, John Frederic Brüne, Célestine Juliette Marie Lecat, Generoso Longo, Ludovico Papalia, a Chrome extension to help users identify AI compliance issues, visualise risk levels and access the relevant legal provisions.
FIRST AWARD: CLARITY86 – Elena Della Valentina, Marta Zoppello, Edoardo Cecchinato
SECOND SSECOND AWARD: AI Act Prohibitions Checker –Imane Hmiddou, Alessandro Aygun Suleyman, Azam Bakhshandeh
THIRD AWARD: LEXAI –Simone Vagnoni, John Frederic Brüne, Célestine Juliette Marie Lecat, Generoso Longo, Ludovico Papalia
Hackthon work CLARITY86
Hackathon work - AI Act Prohibitions Checker
Hackathon work - LEXAI
FIRST AWARD: CLARITY86 – Elena Della Valentina, Marta Zoppello, Edoardo Cecchinato, slides.
CLARITY86 - code
SECOND AWARD: AI Act Prohibitions Checker –Imane Hmiddou, Alessandro Aygun Suleyman, Azam Bakhshandeh
Act Prohibitions Checker - code and app
https://github.com/[…]/main
THIRD AWARD: LEXAI –Simone Vagnoni, John Frederic Brüne, Célestine Juliette Marie Lecat, Generoso Longo, Ludovico Papalia
LEXAI - code and app
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:
WHO CAN PARTICIPATE: This hackathon is addressed to students and PhD candidates from all Universities.
STEPS:
Zero#publication of the regulation:
First# pre-selection: 28 February 2026 the pitch and the main idea.
Second# webinar: March 2026.
Third# project delivery: 30 May 2026.
Four# Award in presence: July 2026.
DATASET: AkomaNtoso datasets, other datasets
OUTPUT of HACKATHON: We require the following results:
AWARD
[1] https://eur-lex.europa.eu/eli/reg/2024/1689/oj
CRITERIA FOR THE PRELIMINARY SELECTION OF THE 10 GROUPS:
Total 20
CRITERIA FOR THE HACKATHON:
Total 40
JURY:
Monica Palmirani, Salvatore Sapienza, Michele Corazza, University of Bologna, ALMA-AI
Fabio Vitali, DISI, University of Bologna
Gustavo Marfia, DAR, University of Bologna
Corrado Roversi, DSG, University of Bologna
Arianna Rossi, Scuola Superiore Sant’Anna
Subscribe here for participating to the selection of the hackathon with deadline 28 February 2026.