Ethics of AI 2023/2024

Main

Projects

29 completed projects

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Achieving Fairness without Demographic Information — Alessandro Pasi • Matteo Belletti • Razvan Ciprian Stricescu

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Analysis of Explainability ML Techinques against Adversarial Models — Nicola Palli • Terzi Angelo

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Bias Mitigation in Face Recognition Models — Matteo Fusconi • Guglielmo Biagini

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Breaking and Fixing: A Study on Neural Network Vulnerabilities and Robustness in the medical field — Alessandro Folloni • Daniele Napolitano • Marco Solime

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Comparative Analysis of Explainability Techniques for Non-linear Models — Alessio Conti

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Comparing Different Models’ Reliance on Prohibited Features in the Adult Census Income — Daniele Baiocco

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Comparison of performance & explainability for Symbolic and Sub-symbolic methods — Alberto Luise

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Defense Algorithms Against A Fast Gradient Sign Method Attack — Oğuz Kağan Koçak • Clara Nunes

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Developing a Fairness Auditing Tool for Income Prediction Models — Mahmut Kaan Molla • Farhad Bayrami

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Developing and Analyzing Fairness in Algorithmic Policing — Thomas Guizzetti

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Evaluation of Hiring Bias in Large Language Models — Francesco Pivi • Kilian Tiziano Le Creurer

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Explainability of Large Language Models (LLMs) for Anemia Diagnosis — Elisa Castagnari

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Explaining Convolutional Neural Networks: A Literature Overview and Implementation of Explainability Methods — Maxence Murat • Parsa Mastouri Kashani • Sadeghi Khiabanian

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Exploring Toxic and Hate Bias in Large Language Models — Álvaro Esteban Muñoz

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Fairness in Football Player Transfer Value Prediction — Franciszek Wysocki • Gabriel Meira

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Fairness in Recidivism Detection Using Autoencoders and Gaussian Mixture Models — Luca Trambaiollo • Davide Capacchione

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Fairness in Skin disease prediction — Giorgia Pavani • Livia Del Gaudio

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Fairness of predictive policing as a dynamic environment — Edoardo Merli

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Fortifying Medical Diagnosis: Federated Learning Augmented by Blockchain for Enhanced Privacy, Security, and Robustness — Lorenzo Cassano • Jacopo D’Abramo

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GAUNTLET: An Explainable Model for Detecting AI-Generated Images — Angelo Galavotti • Lorenzo Galfano

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Identifying and Mitigating Biases in Recruitment — Mattia Maranzana

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Machine Ethics: approaches and architectures — Elisa Venturoli

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Measuring fairness in automatic skin disease diagnosis with a convolutional neural network — Chiara Bellatreccia

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Prompting Techniques for Gender Equity in Open-Source LLMs — Andrea Zecca • Samuele Marro • Stefano Colamonaco

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Study, Design, and Implement the Knowledge-aware Object Detection Symbolic Knowledge Injection Algorithm — Pelinsu Acar • Rubin Carkaxhia • Calin Diaconu

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Study, design, and implement the [Lyrics] symbolic knowledge injection algorithm — alessio pellegrino

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To encode or not to encode? Explainable approaches for Emotion and Trigger detection on MELD — Umberto Carlucci • Giuseppe Carrino • Matteo Vannucchi

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Transparency and Fairness in Arrival Prediction — fatemeh bozorgi • Reza Shatery • Kankana Gosh

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User Persona for LLMs’ bias evaluation — Luca De Dominicis • Marco Lorenzo Damiani Ferretti • Marco Panarelli

14 ongoing projects

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Assessing Bias in Multi-Modal Models: A Study of CLIP on Gender and Skin Tone — Torzi Luca

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Bias Mitigation in AI Models for Cardiovascular Diseases Prediction — Giorgia Castelli • Alice Fratini • Madalina Ionela Mone

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Bias mitigation in automated loan eligibility process — Chiara Angileri • Niccol`o Marzi • Shola Oshodi

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Classification of Hand Movements Using DNN, LSTM, and SNN: A Comparative Study — Kashaf Ad Dooja

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Evaluating AI Models with the ETHICS Dataset for Ethical Alignment — Gianluca Di Mauro • Leonardo Monti

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Explainable Face Recognition Framework and Qualitative Fairness Assessment — Ilenia Carboni

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Fairness in Recruitment Decisions Algorithms — Riccardo Marvasi • Edoardo Saturno • Lorenzo Balzani

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Fairness in diabetes prediction dataset — Arianna Albertazzi • Lucia Gasperini

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Framework for Symbolic Rules Constraints in Neural Networks — Silje Eriksen

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LIME vs SHAP Comparing ML explanation techniques — Andrea Terenziani

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On the Fairness capability of CatBoost — Edoardo Fusa • Angelo Quarta

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Study, design, and implement the GRAM symbolic knowledge injection algorithm — Davide Freddi • Davide Gardenal

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Unmasking Bias in AI-Driven CV Screening: Evaluating Prompt Engineering Techniques to Enhance Fairness in GPT-4o Decision-Making — Giacomo Gaiani • Salvatore Guarrera • Riccardo Monaco

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Unveiling Political Bias in Artificial Intelligence: A Systematic Literature Review — Giacomo Caroli • Luca Mongiello