activity
20192026
most citedEqualizing Recourse across Groups

17 citations · 25 across the 7 of their papers we have counts for

collaborators

9 papers

cs.AI2026

Incoherent by Design? On the Moral Self-Consistency of LLMs

Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Helen Nissenbaum

LLMs are increasingly used in morally sensitive contexts, yet it is unclear whether they apply ethical principles consistently across situations. A model that can state a moral pri…

cs.CY2025

Consumer Autonomy or Illusion? Rethinking Consumer Agency in the Age of Algorithms

Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana

Consumer agency in the digital age is increasingly constrained by systemic barriers and algorithmic manipulation, raising concerns about the authenticity of consumption choices. No…

cs.AI2025

Rethinking Optimization: A Systems-Based Approach to Social Externalities

Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Helen Nissenbaum

Optimization is widely used for decision making across various domains, valued for its ability to improve efficiency. However, poor implementation practices can lead to unintended…

cs.LG2025

Counting Hours, Counting Losses: The Toll of Unpredictable Work Schedules on Financial Security

Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Aditya Bhaskara +1

Financial instability has become a significant issue in today's society. While research typically focuses on financial aspects, there is a tendency to overlook time-related aspects…

cs.AI2021

Precarity: Modeling the Long Term Effects of Compounded Decisions on Individual Instability

Pegah Nokhiz, Aravinda Kanchana Ruwanpathirana, Neal Patwari +1

When it comes to studying the impacts of decision making, the research has been largely focused on examining the fairness of the decisions, the long-term effects of the decision pi…

cs.CL2020★ 1 cited

P-SIF: Document Embeddings Using Partition Averaging

Vivek Gupta, Ankit Saw, Pegah Nokhiz +3

Simple weighted averaging of word vectors often yields effective representations for sentences which outperform sophisticated seq2seq neural models in many tasks. While it is desir…

cs.CL2020

INFOTABS: Inference on Tables as Semi-structured Data

Vivek Gupta, Maitrey Mehta, Pegah Nokhiz +1

In this paper, we observe that semi-structured tabulated text is ubiquitous; understanding them requires not only comprehending the meaning of text fragments, but also implicit rel…

cs.CL2019★ 7 cited

Improving Document Classification with Multi-Sense Embeddings

Vivek Gupta, Ankit Saw, Pegah Nokhiz +2

Efficient representation of text documents is an important building block in many NLP tasks. Research on long text categorization has shown that simple weighted averaging of word v…

cs.LG2019★ 17 cited

Equalizing Recourse across Groups

Vivek Gupta, Pegah Nokhiz, Chitradeep Dutta Roy +1

The rise in machine learning-assisted decision-making has led to concerns about the fairness of the decisions and techniques to mitigate problems of discrimination. If a negative d…