News:
Febuary 2024: I'll be a keynote speaker of the Computational Psychology preconference at SPSP 2024.August 2022: I joined the Responsible AI team at Google Research as a research scientist.
April 2022: I successfully defended my defense thesis on "Integrating Annotator Biases into Modeling Subjective Language Classification Tasks."
January 2022: I am co-organizing Workshop on Online Abuse and Harms at NAACL 2022.
August 2021: I will continue collaborating with Google Ethical AI team, as a student researcher, until Dec 2021.
May 2021: I started working as a research intern at Google's Ethical AI team.
January 2020: I am co-organizing the Workshop on Online Abuse and Harms at ACL 2021.
April 2020: Our paper is accepted for presentation as a talk
at CogSci 2020.
April 2020: Our paper, a collaboration with INK lab, is accepted as short paper in ACL 2020!
January 2020: I will be attending SPSP conference in New Orleans, LA.
About
I am a research scientist in the Responsible AI team at Google Research. My research is dedicated to advancing the development and evaluation of NLP models by incorporating social, psychological, and cultural factors that shape our perceptions of language. Focusing on established social scientific theories and NLP models, my research aims to make language models more representative of the complexities and distinctions of humans and cultures.Before joining Google Research, I was a research assistant in the Computational Social Science lab at University of Southern California (USC), where I received my PhD in Computer Science working on the impact of cognitive biases and stereotypes on the design and implementation of supervised NLP models. My research has led to NLP models for incorporating annotators' perspectives into text classifiers, identifying moral expressions in language, detecting unreported hate crime incidents from local news articles, and mitigating bias in hate speech classification.
Feel free to Email me, check my CV, explore my Google Scholar, clone my projects on GitHub, or even connect via LinkedIn!
Publications
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D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation
Aida Davani, Mark Díaz, Dylan Baker, Vinodkumar Prabhakaran
EMNLP, 2024. -
GeniL: A multilingual dataset on generalizing language
Aida Davani,* Sagar Gubbi,* Sunipa Dev, Shachi Dave, Vinodkumar Prabhakaran
COLM, 2024. -
Disentangling perceptions of offensiveness: Cultural and moral correlates
Aida Davani, Mark Díaz, Dylan Baker, Vinodkumar Prabhakaran
FAccT, 2024. -
GRASP: A disagreement analysis framework to assess group associations in perspectives
Vinodkumar Prabhakaran, Christopher M Homan, Lora Aroyo, Aida Davani, Alicia Parrish, Alex Taylor, Mark Diaz, Ding Wang, Gregory Serapio-García
NAACL, 2024. -
Distinguishing address vs. reference mentions of personal names in text
Vinodkumar Prabhakaran, Aida Davani, Melissa Ferguson, Stav Atir
ACL findings, 2023. -
The (moral) language of hate
Brendan Kennedy, Preni Golazizian, Jackson Trager, Mohammad Atari, Joe Hoover, Aida Davani, Morteza Dehghani
PNAS Nexus, 2023. -
SeeGULL: A stereotype benchmark with broad geo-cultural coverage leveraging generative models
Akshita Jha, Aida Davani, Chandan K Reddy, Shachi Dave, Vinodkumar Prabhakaran, Sunipa Dev
ACL, 2023. -
The paucity of morality in everyday talk
Mohammad Atari, Matthias R. Mehl, Jesse Graham, John M. Doris, Norbert Schwarz, Aida Davani, Ali Omrani, Brendan Kennedy, ..., Morteza Dehghani
Scientific Reports, 2023. -
Hate speech classifiers learn normative social stereotypes
Aida Davani, Mohammad Atari, Brendan Kennedy, Morteza Dehghani
TACL, 2022. -
Pathogens are linked to human moral systems across time and space
Mohammad Atari, Joseph Hoover, Brendan Kennedy, Aida Davani, Ali Omrani, Farzan Karimi-Malekabadi, Gwenyth Portillo-Wightman, Shirin Birjandi, Morteza Dehghani
Current Research in Ecological and Social Psychology, 2022. -
Dealing with disagreements: Looking beyond the majority vote in subjective annotations
Aida Davani, Mark Díaz, Vinodkumar Prabhakaran
TACL, 2021. -
On releasing annotator-level labels and information in datasets
Vinodkumar Prabhakaran*, Aida Davani*, Mark Díaz
LAW-DMR Workshop @ EMNLP, 2021. -
Improving counterfactual generation for fair hate speech detection
Aida Davani, Ali Omrani, Mohammad Atari, Brendan Kennedy, Xiang Ren, Morteza Dehghani
WOAH Workshop @ ACL, 2021. -
Morally homogeneous networks and radicalism
Mohammad Atari, Aida Davani, Drew Kogon, Brendan Kennedy, Nripsuta Ani Saxena, Ian Anderson, Morteza Dehghani
Social Psychological and Personality Science, 2021. -
The gab hate corpus: A collection of 27k posts annotated for hate speech
Brendan Kennedy, Mohammad Atari, Aida Davani, Leigh Yeh, Ali Omrani, Joseph Hoover, ..., Morteza Dehghani
Language Resources and Evaluation, 2021. -
Investigating the role of group-based morality in extreme behavioral
expressions of prejudice
Joseph Hoover, Mohammad Atari*, Aida Davani*, Brendan Kennedy*, Gwenyth Portillo-Wightman, Leigh Yeh, Morteza Dehghani
Nature Communications, 2021. -
Moral concerns are differentially observable in language
Brendan Kennedy, Mohammad Atari, Aida Davani, Joseph Hoover, Ali Omrani, Jesse Graham, Morteza Dehghani
Cognition, 2021. -
On transferability of bias mitigation effects in language model fine-tuning
Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Davani, Leonardo Neves, Xiang Ren
NAACL, 2021. -
Hatred is in the eye of the annotator: Hate speech classifiers learn human-like social stereotypes
Aida Davani, Mohammad Atari, Brendan Kennedy, Shreya Havaldar, Morteza Dehghani
CogSci, 2020. -
Contextualizing hate speech classifiers with post-hoc explanation
Brendan Kennedy*, Xisen Jin*, Aida Davani, Morteza Dehghani, Xiang Ren
ACL, 2020. -
Moral Foundations Twitter Corpus: A collection of 35k tweets annotated for moral sentiment
Joe Hoover, Gwenyth Portillo-Wightman, Leigh Yeh, Shreya Havaldar, Aida Davani , Ying Lin, Brendan Kennedy, Mohammad Atari, Zahra Kamel, Madelyn Mendlen, Gabriela Moreno, Christina Park, Tingyee E Chang, Jenna Chin, Christian Leong, Jun Yen Leung, Arineh Mirinjian, Morteza Dehghani.
Social Psychological and Personality Science, 2020. -
Reporting the unreported:
Event extraction for analyzing the local representation of hate crimes
Aida Davani, Leigh Yeh, Mohammad Atari, Brendan Kennedy, Gwenyth Portillo-Wightman, , Natalie Delong, Rhea Bhatia, Arineh Mirinjian, Xiang Ren, Morteza Dehghani
EMNLP, 2019. -
Modeling performance
differences on cognitive tests using LSTMs and
skip-thought vectors trained on reported media consumption
Maury Courtland, Aida Davani, Melissa Reyes, Leigh Yeh, Jun Leung, Brendan Kennedy, Morteza Dehghani, Jason Zevin
NLP+CSS Workshop @ NAACL, 2019. -
Subtle differences in language experience moderate
performance on language-based cognitive tests.
Maury Courtland, Aida Davani, Melissa Reyes, Leigh Yeh, Jun Leung, Brendan Kennedy, Morteza Dehghani, Jason Zevin
CogSci, 2019. -
Body maps of moral concerns
Mohammad Atari, Aida Davani, Morteza Dehghani
Psychological Science, 2019.
Pre-prints and In-progress
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Syntactic and semantic gender biases in the language on children’s television: Evidence from
a corpus of 95 shows from 1960 to 2018
Andrea C. Vial*, Aida Davani*, Shreya Havaldar, Eleanor K. Chestnut, Morteza Dehghani, Andrei Cimpian
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D3CODE: Disentangling Disagreements in Data across Cultures on Offensiveness Detection and Evaluation
Aida Davani, Mark Díaz, Dylan Baker, Vinodkumar Prabhakaran