About
I am a PhD scholar in Digital Humanities at IIT Jodhpur. My research area is Algorithmic Accountability. For my PhD, I am working on accountability for mental health therapy chatbots from sociotechnical perspective(s). My interests span Ethics & Fairness in AI, Data and Society, Social Media, Chatbots.
(Broader) Research Interests:
Responsible AI, HCI, Critical Data/Algorithm Studies, Feminist AI, Data Ethics and Policy, AI and Digital Humanities, Algorithmic cultures, Intersectionality, Caste & Tech, Conversational Agents (Chatbots), NLP
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Recent achievements:
1. Paul Fortier Prize at DH2023, ADHO
https://adho.org/awards/paul-fortier-prize/recipients/ Projects
Doctoral Research : Conversational AI and Mental Health Care: Navigating Sociotechnical Perspective(s) for Algorithmic Accountability
[Publication] Authored chapter ‘My year treating my self-diagnosed OCD with a chatbot that never was’ in Anthology
‘Parables of AI in/from the Majority World’ curated and edited by Ranjit Singh, Rigoberto Lara Guzmán, and Patrick Davison at Data & Society Research Institute (2022). DOI:
http://dx.doi.org/10.2139/ssrn.4258527
Conferences & events:
- ‘D or H – what leads in DH?: Envisaging the Digital Humanities Space in India’ at Digital Humanities 2023 (DH2023) Conference by Alliance of Digital Humanities Organisations (ADHO) (10-14 July 2023) at University of Graz, Austria. Conference details; Awarded Paul Fortier Prize (Best paper Award)
- ‘#Hathras: The Socio-Political Identity of ‘Call for Justice’ Videography’ by Lavanya Dahiya, Vasundhra Dahiya / Bearing Witness, Seeking Justice (5-7th October 2022) at Comparative Media Studies/Writing in the School of Humanities, Arts, and Social Sciences, Massachusetts Institute of Technology (MIT), Cambridge, USA; Conference and Participant details
- ‘Brewing Anti-Caste Conscience: The DBA discourse of Justice’ by Steven S George, Vasundhra Dahiya / Bearing Witness, Seeking Justice (5-7th October 2022) at Massachusetts Institute of Technology (MIT), Cambridge, USA; Conference and Participant details
- ‘Digital Dating and its Discontents: AI, Masculinity and Consent’ by Lavanya Dahiya, Vasundhra Dahiya, Dibyadyuti Roy / Digital Humanities Conference 2022 (25-29 July 2022), by Alliance of Digital Humanities Organizations (ADHO); Book of Abstracts
- ‘The Unbearable Simplification of (Being) AI: Digital Dating and its Gendered Discontents in India’ by Lavanya Dahiya, Vasundhra Dahiya, Dibyadyuti Roy / The Social Life of Algorithmic Harms Academic Workshop (March 10-11, 2022) by Data & Society.
- ‘Humanistic Enquiries for Responsible Socio-technical Systems’ by Vasundhra Dahiya / DHARTI 2022 Conference: The Digital Divides: Discontents, Debates and Discussions (February 2022) / DHARTI; Book of Abstracts
- ‘Self-diagnosing my Nervous Breakdowns’ by Vasundhra Dahiya / Panelist for Parables of AI in/from the Global South, Academic Workshop (October 2021) by Data and Society.
Collaborations
- Science20 (S20) subtheme of “Science for Society & Culture” at IIT Jodhpur : Acceptance of position paper titled “The Safety And Surveillance Of ‘Women In Distress’: Policy Lessons For Responsible AI And Gender Concerns” co-authored with Lavanya Dahiya and Dr Rachel Philip (2023).
- Museum without walls (MWW) 2.0, British Council Collection (BCC): Research Prototype “Affective Imaginings v/s Algorithmic Interpretations: The Diverse Economies of Interpreting Art in Online Spaces”, Curators: Dibyadyuti Roy, Vasundhra Dahiya, Lavanya Dahiya, Sayan Sanyal, Tushar Kant. (April-June 2022)
- Data & Society: Co-contributor to “A Primer on AI in/from the Majority World: An Empirical Site and a Standpoint”. Curated by Sareeta Amrute, Ranjit Singh, and Rigoberto Lara Guzmán (and informed by a range of feminists, Indigenous thinkers, anti-caste scholars, and Afro-futurists) (September 14, 2022). DOI: http://dx.doi.org/10.2139/ssrn.4199467
Master’s and Bachelor’s:
- Community Question Answering : Using Deep Learning model LSTMs for Contextual Learning in SemEval CQA task.
- Citation Sentiment Analysis using Weka and Rapid Miner.
- Web Usage Analysis using Statistical analysis, and Rule-association mining by Rapid Miner.