Abstract
Natural Language Generation (NLG) supports the creation of personalized, contextualized, and targeted content. However, the algorithms underpinning NLG have come under scrutiny for reinforcing gender, racial, and other problematic biases. Recent research in NLG seeks to remove these biases through principles of fairness and privacy. Drawing on gender and queer theories from sociology and Science and Technology studies, we consider how NLG can contribute towards the advancement of gender equity in society. We propose a conceptual framework and technical parameters for aligning NLG with feminist HCI qualities. We present three approaches: (1) adhering to current approaches of removing sensitive gender attributes, (2) steering gender differences away from the norm, and (3) queering gender by troubling stereotypes. We discuss the advantages and limitations of these approaches across three hypothetical scenarios; newspaper headlines, job advertisements, and chatbots. We conclude by discussing considerations for implementing this framework and related ethical and equity agendas.
Original language | English |
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Title of host publication | Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems |
Editors | Joanna McGrenere, Andy Cockburn |
Place of Publication | New York NY USA |
Publisher | Association for Computing Machinery (ACM) |
Number of pages | 14 |
ISBN (Electronic) | 9781450367080 |
DOIs | |
Publication status | Published - 21 Apr 2020 |
Event | International Conference on Human Factors in Computing Systems 2020 - Honolulu , United States of America Duration: 25 Apr 2020 → 30 Apr 2020 Conference number: 38th https://chi2020.acm.org (Website) https://dl.acm.org/doi/proceedings/10.1145/3313831 (Proceedings) |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
Conference | International Conference on Human Factors in Computing Systems 2020 |
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Abbreviated title | CHI 2020 |
Country/Territory | United States of America |
City | Honolulu |
Period | 25/04/20 → 30/04/20 |
Internet address |
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Keywords
- feminist hci
- natural language generation