Ethics of AI 2023/2024

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

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

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

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

  Fairness in AI Recruiting Systems — Francesco Baiocchi  •  Leonardo Petrilli

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

  Fairness in diabetes prediction dataset — Arianna Albertazzi  •  Lucia Gasperini

  Framework for Symbolic Rules Constraints in Neural Networks — Silje Eriksen

  LIME vs SHAP Comparing ML explanation techniques — Andrea Terenziani

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

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

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

  Adversarial Attacks on Time Series Models: A Systematic Literature Review — Davide Bombardi

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

  Analyzing and Addressing Bias in Face Recognition Using InsightFace Embeddings — Gabriele Fossi

  Automatic Skin Disease Prediction: A Review — Ilenia Carboni

  Bias Analysis and Ethical Considerations in ML Models for Healthcare — Paolo De Angelis  •  Francesco Pigliapoco

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

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

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

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

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

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

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

  Developing and Analyzing Fairness in Algorithmic Policing — Thomas Guizzetti

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

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

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

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

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

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

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

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

  Fairness of predictive policing as a dynamic environment — Edoardo Merli

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

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

  Identifying and Mitigating Biases in Recruitment — Mattia Maranzana

  Machine Ethics: approaches and architectures — Elisa Venturoli

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

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

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

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

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

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

  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

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

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