Coding in the Liberal Arts through Natural Language Processing and Machine Learning

Authors

  • Ursula Wolz Eugene Lang School of Liberal Arts, The New School
  • Jennifer Wilson Eugene Lang School of Liberal Arts, The New School

DOI:

https://doi.org/10.1609/aaai.v34i09.7071

Abstract

An initiative recently established at our institution is creating new opportunities for students to deepen their understanding of code and computational thinking, and to embrace questions of access, equity and social justice. In this short paper we report on two contextualized computing courses in this initiative that introduce coding and computational thinking through contextualizing two subfields of AI: Natural Language Processing and Machine Learning. The goal was two-fold: to help students gain foundational computational skills to further their own creative and critical practices; and more broadly, to help them develop better-informed critiques of the use of algorithmic systems, especially AI technology.

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Published

2020-04-03

How to Cite

Wolz, U., & Wilson, J. (2020). Coding in the Liberal Arts through Natural Language Processing and Machine Learning. Proceedings of the AAAI Conference on Artificial Intelligence, 34(09), 13506-13507. https://doi.org/10.1609/aaai.v34i09.7071

Issue

Section

EAAI Symposium: Poster Papers