Shan Wang
PhD fellow at the Norwegian University of Science and Technology
Wang work as a PhD candidate in the AI BIAS project, empowering the artificial intelligence (AI) and human resource management community by addressing and mitigating the biases. Her research interest lies primarily in the digitalization and automation of the society, especially how the modern technics such as AI technics, has entangled with the human being. Wang has the academic background from both cultural studies and anthropology. She studied media and communication in bachelor year and got her master degree major in digital anthropology.
Tell us about your project!
AI is increasingly used in the employment sector to manage and control individual workers, such as Natural Language Processing based tools used to analyze the text created by employee or recruitment candidate. The models of such tool are biased, which can lead to biases decisions which are against equality, sustainability and humanity. Additionally, it has been showed that the bias in an underlying AI model is reproduced and amplified in the following applications. Addressing such concerns in AI applications used in Human Resources Management context, this project is to empower AI and relevant community to discover and mitigate digital divides.
“This project aims to empower AI and relevant community to discover and mitigate digital divides.”
— Shan Wang on her research project “BIAS: Mitigating diversity biases of AI in the labor market”