| KEYWORD |
Implementation of 'fairness by design' principles and fairness metrics in AI systems
Tesi esterna in azienda
Parole chiave ALGORITHM FAIRNESS, ARTIFICIAL INTELLIGENCE, DATA ETHICS, DATA QUALITY, DATA SCIENCE, EXPLAINABLE AI, HUMAN-COMPUTER INTERACTION, SOFTWARE ENGINEERING, SYNTHETIC DATA
Riferimenti MARCO TORCHIANO, ANTONIO VETRO'
Gruppi di ricerca DAUIN - GR-16 - SOFTWARE ENGINEERING GROUP - SOFTENG, DAUIN - GR-22 - Nexa Center for Internet & Society - NEXA
Tipo tesi AZIENDALE, EXPERIMENTAL, RESEARCH, SPERIMENTALE APPLICATA, SPERIMENTALE IN AZIENDA
Descrizione This thesis topic is critically important in the rapidly evolving realm of AI regulation, emphasizing the integration of AI Act stipulations into technological processes. It specifically targets the implementation of 'fairness by design' principles and fairness metrics in AI systems to uphold both regulatory compliance while testing technical feasibility.
The thesis will elaborate on a systematic method during the data preprocessing phase aimed at ensuring diversity and representativeness in training datasets, including using data augmentation techniques. Expected processes include automated bias detection and correction mechanisms within these workflows, as well as benchmarking these processes against the technical conformity assessments mandated by the AI Act.
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Clearbox AI is an innovative SME, incubated in I3P, winner of the National Innovation Award (PNI 2019) in the ICT category and the EU Seal of Excellence awarded by the European Commission. Clearbox AI is developing a unique and innovative technology ("AI Control Room"), which allows to put into production artificial intelligence models that are robust, explainable and monitorable over time.
Vedi anche https://www.clearbox.ai
Conoscenze richieste Good programming skills and basic knowledge of common data analytics tools and techniques. Grade point average equal to or higher than 26 will play a relevant role in the selection.
Note When sending your application, we kindly ask you to attach the following information:
- list of exams taken in you master degree, with grades and grade point average
- a résumé or equivalent (e.g., linkedin profile), if you already have one
- by when you aim to graduate and an estimate of the time you can devote to the thesis in a typical week
Scadenza validita proposta 15/03/2025
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