Aatman Vaidya

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aatmanvaidya [at] gmail.com

I am a Master’s student in Computational Linguistics at the University of Tübingen. Previously, I worked as a Research Engineer at Tattle, where I built citizen-centric tools and datasets to understand and respond to online harms.

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!):

  • Platform-Mediated Harms. I study how harmful content spreads across online platforms. My earlier work analyzed the propagation of toxic content on Twitter, Koo, and Gab. I have also done a mixed-methods cross-platform study of the illicit betting app ecosystem in India tracing how deceptive social media promotion; misleading ads, fake celebrity endorsements, deepfakes connects to documented financial harm experienced by users.

  • Human-AI Interaction. I am interested in understanding how people actually use AI systems? how they seek information through AI versus Web. My current work collects and analyzes real-world interaction data from the Global South to study how these exchanges unfold in practice across diverse demographic contexts and what that means for designing human-AI systems that are safer and more socio-culturally aligned. (ongoing work)

  • 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, now part of the MLCommons AIluminate suite. These insights directly shaped tools like Uli, a browser plugin that redacts abusive content in low-resource languages, and Feluda, an engine for multilingual and multimodal content analysis.

You can find more information about me from my CV.

updates

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