Data-centric AI: Dataset augmentation techniques for bias and data quality improvement
Tesi esterna in azienda
Tipo tesi AZIENDALE, EXPERIMENTAL, RESEARCH, SPERIMENTALE APPLICATA, SPERIMENTALE IN AZIENDA
Descrizione Clearbox AI Control Room has a feature to generate synthetic datasets for dataset augmentation. The thesis work is focused in the experimentation of techniques that can help detect bias in the original datasets and mitigate them by augmenting the original dataset using synthetic points. The project will require identifying the types of bias within a dataset and identifying intervention mechanisms to remove the bias using synthetic data generation methods.
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 30/11/2023 PROPONI LA TUA CANDIDATURA