Aatman Vaidya
I am a Master’s student in Computational Linguistics at the University of Tübingen. I am currently working as a Research Assistant with Juhi Kulshrestha in the Computational Social Science group at Aalto University.
I am also advised by Kiran Garimella from Rutgers University, with whom I work on platform-mediated harms and human-AI interaction in the Global South.
I work at the intersection of language, technology and society. My research interests broadly lie in computational social science and human centered AI, with a focus in measuring and mitigating online harms in low-resource contexts and making digital spaces safer and more inclusive.
Here are some research directions I work on (and I am exicted about!):
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Online Platform-Mediated Harms. I study how harmful and deceptive content spreads across online platforms and translates into real-world harm. My recent work quantified the illicit betting app ecosystem in India, tracing how deceptive promotion connects to documented financial harm.
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Human-AI Interaction. I am interested in understanding how people actually use AI systems? how people seek information through generative AI versus the web, studied using real-world conversation data from Global South. (ongoing work)
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Participatory Design & Safety Tools. I believe safety interventions must be grounded in the lived experiences of those most affected by online harm. At Tattle, I worked with gender rights organizations in India using participatory methods to build a dataset on online gender-based violence and co-developed an AI safety benchmark for Hindi.
Before starting my Master’s, I worked as a Research Engineer at Tattle, building citizen-centric tools and datasets to understand and respond to online harms.
You can find more information about me from my CV.
updates
| May 2026 | Our work on betting apps won the Best Paper Award 🎖️ at ICWSM 2026!! |
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| Mar 2026 | Our work on Quantifying the Illicit Ecosystem of Betting Apps in India is accepted at ICWSM 2026! |
| Nov 2025 | Pre-print for our work on Modelling the Spread of Toxicity |
| Oct 2025 | Started a Master’s in Computational Linguistics at University of Tübingen!! |
| Sep 2025 | Spoke on how to implement AI safety guardiral in GenAI systems at the Tech4Dev AI Cohort.(slides) |
| Aug 2025 | Presented at the Tech4Dev AI Cohort Program on incorporating Safety in AI for good applications. |
| May 2025 | Got featured by FOSS United as a part of Maintainers Month where they feature 31 Indian FOSS projects in the month. (see Folklore page) |
| Mar 2025 | Gave a lightning talk on Open Source Deepfake Detection at MisinfoCon India 2025. (slides) |
| Mar 2025 | Gave a talk on “Evaluating Indian Language Performance in LLMs” at the AI for Global Development by Agency Fund. (slides) |
| Jan 2025 | Conducted a suvery of Indic Language Capabilities in LLMs. (preprint) |
| Nov 2024 | Worked with MLCommons to develop an AI safety bechmark dataset in Hindi on Hate and Sex-realted crimes in India. |
| Apr 2024 | The Uli Dataset paper is accepted at Workshop on Online Harms and Abuse at NAACL 2024. (Won the Outstanding Paper Award!!) |
| Dec 2023 | Conducted a Shared Task on Gendered Abuse Detection in Indic Languages at ICON 2023. |
| Nov 2023 | Our Paper titled, “Analysing the Spread of Toxicity on Twitter” got accepted at CODS-COMAD. |
| Nov 2023 | Invited for a pannel at Digital Citizen Summit. |
| Sep 2023 | Our Paper titled, “Forecasting the Spread of Toxicity on Twitter” got accepted at IEEE CogMI |
| Aug 2023 | Started working at Tattle ! |
| May 2023 | Went to Cluj, Romania to participate in the semi-final round of the Bosch Future Mobility Challenge - Built an autonomous driving car |