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Fall 2024
This thesis presents a comprehensive exploration of social biases embedded within texts and Natural Language Processing (NLP) models. It develops innovative algorithms to evaluate and mitigate these biases, thereby enhancing the fairness and effectiveness of NLP applications. The initial phase of...
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2022-04-05
Konnikov, Alla, Rets, Irina, Hughes, Karen D., Al-Ani, Jabir Alshehabi, Denier, Nicole, Ding, Lei, Hu, Shenggang, Hu, Yang, Jiang, Bei, Kong, Linglong, Tarafdar, Monideepa, Yu, Dengdeng
The BIAS case study describes the aims and objectives of the ‘BIAS: Responsible AI for labour market equality’ project, the research process, and the lessons learned at the mid-way point of the project. It draws on two main sources of information: interviews conducted internally with six founding...