Shiran Dudy

Hi, I’m Shiran—I research how AI systems shape our world, and whether they do so fairly.

I’m a Research Scientist at Northeastern University’s Institute for Experiential AI, where I specialize in NLP and speech processing with a focus on Responsible AI specifically focusing on AI auditing, and AI literacy, and participatory AI approaches.

What I do

I audit AI systems to uncover what they get wrong—and who gets left out. That means examining how generative AI represents (or misrepresents) non-dominant cultures, evaluating how AI-powered search shapes access to real-world opportunities, and measuring the community impact of AI-driven services like Uber in collaboration with Eticas.

I also lead the Tech Policy Tracker, making federal and state AI policy accessible to everyday people—because these decisions affect all of us, and everyone deserves a seat at the table.

As technical lead for RAI consulting at EAI, I help companies build AI that’s safe, robust, and equitable.

The through-line: ensuring new technologies serve all communities fairly.

Email: shirdu2 at gmail dot com

news

Oct 7, 2025	I had a really great time at Notre Dame RISE AI summit. I gave a talk about how many of our epistemic systems promote single view approach, and why promoting plurality in search systems (as well as LLMs) may offer an antidote to this concern. The world is complex and current personalization techniques are narrowing our understanding of it🔍👁️👁️
Aug 21, 2025	It was a pleasure to take part in the Responsible AI workshop series at EAI where I led a discussion on how well commercial LLMs connect us with real-world opportunities. I presented a recent study we conducted showing that LLM responses across state-of-the art models skew towards wealthier and more educated poulation – making its responses less relevant for other life experiences📊🌍
Jul 11, 2025	I had a great time at FAccT this year! I joined a CRAFT panel on community-led audits and shared a study (with Eticas) auditing Uber’s services with the Roma community. I also co-hosted a participatory design session using pol.is to explore how we imagine the future of the FAccT community together.
Jun 1, 2025	I was invited to join the Advisory Council for the Massachusetts Science and Technology Policy fellowship (MASTPF) with the goal of placing P.hD. Scientists in the State House to bridge between science and public service🏛️📜⚖️🎓
Apr 10, 2025	Our paper Unequal Opportunities: Examining the Bias in Geographical Recommendations by Large Language Models was presented in Intelligent User Interaction confernece and won Honorable Mention Award 🏆

latest posts

Jan 4, 2026	The Broader Context of Algorithmic Fairness
Apr 24, 2025	Is this AI made for me? (part 2)
Apr 24, 2025	Is this AI made for me? (part 1)

selected publications

Unequal Opportunities: Examining the Bias in Geographical Recommendations by Large Language Models

Shiran Dudy, Thulasi Tholeti, Resmi Ramachandranpillai, and 3 more authors

In Proceedings of the 30th International Conference on Intelligent User Interfaces, 2025

Bib PDF Code

@inproceedings{dudy2025unequal,
  title = {Unequal Opportunities: Examining the Bias in Geographical Recommendations by Large Language Models},
  author = {Dudy, Shiran and Tholeti, Thulasi and Ramachandranpillai, Resmi and Ali, Muhammad and Li, Toby Jia-Jun and Baeza-Yates, Ricardo},
  booktitle = {Proceedings of the 30th International Conference on Intelligent User Interfaces},
  pages = {1499--1516},
  year = {2025},
  award = {Honorable Mention Award},
}

Analyzing Cultural Representations of Emotions in LLMs Through Mixed Emotion Survey

Shiran Dudy, Ibrahim Said Ahmad, Ryoko Kitajima, and 1 more author

In 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII) , 2024

Bib Code

@inproceedings{dudy2024analyzing,
  author = {Dudy, Shiran and Ahmad, Ibrahim Said and Kitajima, Ryoko and Lapedriza, Agata},
  booktitle = { 2024 12th International Conference on Affective Computing and Intelligent Interaction (ACII) },
  title = { Analyzing Cultural Representations of Emotions in LLMs Through Mixed Emotion Survey },
  year = {2024},
  pages = {346-354},
  doi = {10.1109/ACII63134.2024.00044},
  url = {https://doi.ieeecomputersociety.org/10.1109/ACII63134.2024.00044},
  publisher = {IEEE Computer Society},
  address = {Los Alamitos, CA, USA},
  award = {Best Paper Award},
}