51 citations · 121 across the 32 of their papers we have counts for
4 papers · 1 filter
Risks of AI Foundation Models in Education
Su Lin Blodgett, Michael Madaio
If the authors of a recent Stanford report (Bommasani et al., 2021) on the opportunities and risks of "foundation models" are to be believed, these models represent a paradigm shif…
A Survey of Race, Racism, and Anti-Racism in NLP
Anjalie Field, Su Lin Blodgett, Zeerak Waseem +1
Despite inextricable ties between race and language, little work has considered race in NLP research and development. In this work, we survey 79 papers from the ACL anthology that…
Beyond "Fairness:" Structural (In)justice Lenses on AI for Education
Michael Madaio, Su Lin Blodgett, Elijah Mayfield +1
Educational technologies, and the systems of schooling in which they are deployed, enact particular ideologies about what is important to know and how learners should learn. As art…
How to Write a Bias Statement: Recommendations for Submissions to the Workshop on Gender Bias in NLP
Christian Hardmeier, Marta R. Costa-jussà, Kellie Webster +2
At the Workshop on Gender Bias in NLP (GeBNLP), we'd like to encourage authors to give explicit consideration to the wider aspects of bias and its social implications. For the 2020…