The Concept
The AIMS project was initiated in 2020-2021 as part of a master's thesis by Adriana Bora, one of the 20 Rising Stars in AI Ethics and one of the Top 100 Romanians Living Abroad in the science category. A social scientist passionate about leveraging machine learning for social good, Adriana Bora began researching how AI could play a role in eliminating modern slavery.
Using data science, machine learning techniques like natural language processing (NLP) and computational linguistics, the first phase of the AIMS project looked for methods that would enable swift and comprehensive analysis of MSA reports. These methods could help users to obtain valuable information about slavery statements, which would be an essential step towards improving transparency within corporations and fostering continued progress in the global fight against this pressing challenge.
Facts and outcomes of phase 1
In phase 1 of our research, our primary objective was to tackle challenges associated with modern slavery reporting data. This phase encompassed tasks such as ascertaining which statements warranted analysis, gathering modern slavery statements, securing access to these statements, extracting text from them, and identifying ground truth data. Furthermore, we executed initial data-driven experiments aimed at mitigating the constraints of our ground truth data. Additionally, a series of machine learning experiments were carried out on this dataset.