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  KEYWORD

Data-centric AI: Dataset augmentation techniques for bias and data quality improvement

azienda Thesis in external company    


keywords ALGORITHM FAIRNESS, ARTIFICIAL INTELLIGENCE, DATA ETHICS, DATA QUALITY, DATA SCIENCE, SOFTWARE ENGINEERING

Reference persons JUAN CARLOS DE MARTIN, ANTONIO VETRO'

Research Groups DAUIN - GR-22 - Nexa Center for Internet & Society - NEXA

Thesis type EXPEIRMENTAL, IN COMPANY, INDUSTRIAL, RESEARCH / EXPERIMENTAL, RESEARCH THESIS WITH A COMPANY, RESEARCH, INNOVATIVE

Description 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. The Clearbox AI Control Room has a feature to generate synthetic datasets for dataset augmentation. The thesis work focuses in the development 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, identify intervention mechanisms to remove the bias using synthetic data generation methods.


Deadline 08/10/2022      PROPONI LA TUA CANDIDATURA




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