Miss Rituparna Mukherjee

Higher Degree by Research Candidate

School of Psychology

College of Education, Behavioural and Social Sciences


AI is getting incredibly good at persuading people, but almost everything we know about how it does this comes from a Western, English-speaking perspective. I am interested in building a culturally aware theory of AI persuasion. Instead of assuming one communication style works globally, I study how cultural values and different languages change how we respond to AI-generated persuasive messages. This is also fundamental to AI fairness in that if technology is going to be global, fairness means it shouldn't just force-feed translated Western defaults to the rest of the world. It needs to genuinely understand who it is talking to.

Date Position Institution name
2020 - 2021 Research Associate Indraprastha Institute of Information Technology Delhi

Language Competency
Arabic Can read, speak and understand spoken
Bengali Can read, write, speak and understand spoken
English Can read, write, speak, understand spoken and peer review
Hindi Can read, write, speak and understand spoken

Date Institution name Country Title
2017 - 2019 Cardiff University United Kingdom MS

Year Citation
2021 Pramanik, S., Dimitrov, D., Mukherjee, R., Sharma, S., Akhtar, M. S., Nakov, P., & Chakraborty, T. (2021). Detecting Harmful Memes and Their Targets. In F. Xia, C. Zong, W. Li, & R. Navigli (Eds.), FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, ACL-IJCNLP 2021 (pp. 2783-2796). ELECTR NETWORK: ASSOC COMPUTATIONAL LINGUISTICS-ACL.
DOI WoS82

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