25 citations · 55 across the 12 of their papers we have counts for
Showing 2020Show all
3 papers · 1 filter
cs.CY2020★ 25 cited
Data, Power and Bias in Artificial Intelligence
Susan Leavy, Barry O'Sullivan, Eugenia Siapera
Artificial Intelligence has the potential to exacerbate societal bias and set back decades of advances in equal rights and civil liberty. Data used to train machine learning algori…
cs.CL2020
Mitigating Gender Bias in Machine Learning Data Sets
Susan Leavy, Gerardine Meaney, Karen Wade +1
Artificial Intelligence has the capacity to amplify and perpetuate societal biases and presents profound ethical implications for society. Gender bias has been identified in the co…
cs.CL2020★ 7 cited
Uncovering Gender Bias in Media Coverage of Politicians with Machine Learning
Susan Leavy
This paper presents research uncovering systematic gender bias in the representation of political leaders in the media, using artificial intelligence. Newspaper coverage of Irish m…