Aatman Vaidya

prof_pic.jpg

aatmanvaidya [at] gmail.com

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!):

  • 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.

  • 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)

  • 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!!
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