To facilitate collaboration among researchers from different AI related fields, in the TAISIG Talks series, Tilburg University brings together AI experts from various domains to discuss their most recent findings. Each TAISIG talk features three scientists with different backgrounds and at different stages in their careers.
Eva Vanmassenhove, Patricia Prüfer and Max Louwerse presented during the TAISIG Talks on March 18, 2021.
That’s what she said
The first speaker of the evening, dr. Eva Vanmassenhove, is an expert in natural language processing with focus on machine translation. In her lecture, she addressed the problem of algorithmic bias in automatic translations of gender based on big data. Some natural languages, e.g., Bulgarian, use different morphological forms to express grammatical gender in adjectives, demonstratives and verbs, while others would exhibit a highly limited use of linguistic gender (e.g., English). Translating from the second kind of language to the first can amplify social biases by producing gender biased output and also lead to a loss of linguistic richness. A possible solution lies in the addition of metadata coding for gender information. So hopefully in the future, we will be able to know for sure whether it was what she said or what he said.
Watch the video: [ Ссылка ]
Skill based job transitions
The second talk was presented by dr. Patricia Prüfer, Head of the Data Science Unit at CentERdata. Together with her team, Patricia conducts research on skill-based job transitions. Technological advances combined with the effects of the COVID-19 pandemic brought about a great deal of uncertainty on the job market. While in some sectors, such as hospitality, unemployment has been growing, other sectors are thriving and in need of qualified employees. To solve this problem, Patricia’s data science team developed a matching tool that looks for “good-fit” job transitions based on the desired skills set. The good news is that on average, any given job position can be substituted with 33 others, of which almost half include an increase in salary.
Watch the video: [ Ссылка ]
More information on TAISIG: [ Ссылка ]
