| US – ET | | |
| 6:00 – 9:20 | Session 1 (Multilinguality) | APAC friendly |
| 6:00 – 6:10 | Opening | |
| 6:10 – 7:10 | Keynote 1 | Nizar Habash |
| 7:10 – 7:30 | Break | |
| 7:30 – 7:38 | gENder-IT: An Annotated English-Italian Parallel Challenge Set for Cross-Linguistic Natural Gender Phenomena | Eva Vanmassenhove and Johanna Monti |
| 7:38 – 7:46 | Gender Bias Hidden Behind Chinese Word Embeddings: The Case of Chinese Adjectives | Meichun Jiao and Ziyang Luo |
| 7:46 – 7:54 | Evaluating Gender Bias in Hindi-English Machine Translation | Krithika Ramesh, Gauri Gupta and Sanjay Singh |
| 7:54 – 8:20 | QA (Multilinguality) | |
| 8:20 – 8:40 | Break | |
| 8:40 – 9:20 | Poster Session (Gaido et al) (Antoniak and Mimno) | |
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| 10:30 – 14:00 | Session 2 (Gender and Society) | EUR friendly |
| 10:30 – 11:30 | Keynote 2 | Sasha Luccioni |
| 11:30 – 11:50 | Break | |
| 11:50 – 12:30 | Panel – Gender and Bias in a Multicultural and Multilingual Context | Panelists: Nizar Habash, Eva Vanmassenhove, Jieyu Zhao, Hal Daume III |
| 12:30 – 12:50 | Break | |
| 12:50 – 12:58 | Alexa, Google, Siri: What are Your Pronouns? Gender and Anthropomorphism in the Design and Perception of Conversational Assistants | Gavin Abercrombie, Amanda Cercas Curry, Mugdha Pandya and Verena Rieser |
| 12:58 – 13:10 | Gender Bias in Text: Origin, Taxonomy, and Implications | Jad Doughman, Wael Khreich, Maya El Gharib, Maha Wiss and Zahraa Berjawi |
| 13:10 – 13:22 | Sexism in the Judiciary: The Importance of Bias Definition in NLP and In Our Courts | Noa Baker Gillis |
| 13:22 – 13:45 | QA (Gender and Society) | |
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| 15:00 – 17:00 | Session 3 (Data) | AMER friendly |
| 15:00 – 15:12 | Towards Equal Gender Representation in the Annotations of Toxic Language Detection | Elizabeth Excell and Noura Al Moubayed |
| 15:12 – 15:20 | Using Gender and Polarity Informed Models to Investigate Bias | Samia Touileb, Lilja Øvrelid and Erik Velldal |
| 15:20 – 15:32 | Assessing Gender Bias in Wikipedia: Inequalities in Article Titles | Agnieszka Falenska and Özlem Çetinoğlu |
| 15:32 – 15:40 | Investigating the Impact of Gender Representation in ASR Training Data: a Case Study on Librispeech | Mahault Garnerin, Solange Rossato and Laurent Besacier |
| 15:40 – 15:52 | Generating Gender Augmented Data for NLP | Nishtha Jain, Maja Popović, Declan Groves and Eva Vanmassenhove |
| 15:52 – 16:00 | Second Order WinoBias (SoWinoBias) Test Set for Latent Gender Bias Detection in Coreference Resolution | Hillary Dawkins |
| 16:00 – 16:20 | QA (Data) | |
| 16:20 – 16:30 | Closing Remarks | |