Sanchaita Hazra - UoU Econ

Sanchaita Hazra
sanchaita.hazra[at]utah.edu
Department of Economics
University of Utah

I am a third-year PhD student in Economics at the University of Utah. My research interests are behavioral economics, experimental economics (Lab/Field), and applied microeconomics. I am advised by Prof. Haimanti Bhattacharya and Prof. Subhasish Dugar. I also actively collaborate with Allen Institute for Artificial Intelligence.

My research interests are behavioural economics, applied microeconomics, and artificial intelligence (AI). I use experimental methods in neoclassical economics to explore how humans perceive and benefit from AI and technology in deception, education, marketplaces, and political scenarios.

Previously, I worked as a statistician at DeepFlux (accquired by Pivot Roots) and research assistant at ISI Kolkata. My mentors include Prof. Priyodarshi Banerjee and Prof. Saibal Kar. In 2021, I was also a Guest Lecturer of Economics at Women's Christian College, University of Kolkata. I founded Alankar, a women-run online jewelry brand fostering positive social impact on employbility.


CV  |  LinkedIn

Research·Awards·Talks·Teaching
Research
Published Works

Experience, Learning and the Detection of Deception
with Priyodarshi Banerjee and Sanmitra Ghosh
Published, July 2023
Journal of Economic Criminology
paper | slides

Deceptive communication or behavior can inflict loss, making it important to be able to distinguish these from trustworthy ones. This article pursues the hypothesis that repeated exposure or experience can cause learning and hence better detection of deception. We investigate using data culled from events in a TV game show. Decision-makers in the show repeatedly faced situations where they had to correctly identify an individual from within a group all claiming to be that individual. Increased experience reduced average detection error in the sample. Analysis of the data suggested this relationship was significant and driven by learning.

To Tell The Truth: Language of Deception and Language Models
with Bodhisattwa P. Majumder
Published, July 2024
North American Chapter of the Association for Computational Linguistics (NAACL), 2024
paper

We analyze a novel TV game show data where conversations in a high-stake environment between individuals with conflicting objectives result in lies. We investigate the manifestation of potentially verifiable language cues of deception in the presence of objective truth, a distinguishing feature absent in previous text-based deception datasets. We show that there exists a class of detectors that have similar truth detection performance compared to human subjects, even when the former accesses only the language cues while the latter engages in conversations with complete access to all potential sources of cues (language and audio-visual). Our model detects novel but accurate language cues in many cases where humans failed to detect deception, opening up the possibility of humans collaborating with algorithms and ameliorating their ability to detect the truth.


Working Papers

Humans, Artificial Intelligence, and (Text-based) Misinformation
with Bodhisattwa P. Majumder, Haimanti Bhattacharya, and Subhasish Dugar
Work in Progress

Lies in textual form are pervasive on social media, yet evidence regarding individuals' ability to discern truth from deceptive textual content is scarce. To address this knwoeldge gap, we conduct an experiment on Prolific to investigate (1) people's ability in detecting lies in text, and additionally, (2) how their willingness to seek assistance from an artificial intelligence system (AI) in identifying lies varies with and without information about the AI's efficacy.

Persuasion by and against Artificial Intelligence
with Marta Serra-Garcia
Work in Progress

One of the key impacts of AI is on the marketplace. AI can be a persuasion tool. Just like advertisers and copywriters, AI can generate messages with the aim of persuading people about any good, topic, or idea. If AI-generated messages are as persuasive as human-generated ones, or even more, AI could have large impacts on society.We examine how generative AI performs as a persuasion tool, both when it competes and when it collaborates with humans.

Data-driven Discovery with Large Generative Models
with Bodhisattwa P. Majumder, Harshit Surana, Dhruv Agarwal, Ashish Sabharwal, Peter Clark
Working paper
paper

A practical first step toward an end-to-end automation for scientific discovery. We posit that Large Generative Models (LGMs) present an incredible potential for automating hypothesis discovery, however, LGMs alone are not enough.

Adoption of AI-assistance in Scientific Writing
with Bodhisattwa P. Majumder, Sachin Kumar
Working in Progress

A less studied use case of generative AI, which we plan to focus on in this work, is scientific writing. Scientific writing is an inherently iterative process, often involving multiple revisions to refine clarity, accuracy, coherence, and readability while presenting complex scientific ideas. Not all writers have the same domain expertise. We envision a three-phase randomized controlled trial of increasing complexity to conduct this evaluation simulating a peer-reviewed process in a journal or conference publication.

Funding Fanny - Microfinance and Empowerment of Women in India
with Sanchita San
Bachelors Thesis
Oral presentation at International Conference on Sustainable Development and Education, 2020
Oral presentation at Research Scholar's Workshop 2020, Visva-Bharati

paper

Women make up a substantial majority of India's poor and they are the cruelest victims of the society. Organizing women through Self Help Groups and equipping them to undertake income-generating activities through the formation of microenterprises have created an economic revolution in the country. The paper focuses on the scope and rationale of microfinance in India and how the Self Help Group-Bank Linkage Programme by NABARD has played its part in empowering rural women financially. We find positive increase in loan disbursements, but sheer increase in loan outstanding over a period of ten years.

Awards
Talks
  • [2024] Humans, Artificial Intelligence, and (Text-based) Misinformation at WEAI, Seattle.
  • [2023] Humans, Artificial Intelligence, and (Text-based) Misinformation at North American ESA.
  • [2023] Experience, Learning and the Detection of Deception at WEAI, San Diego.
  • [2021] Experience, Learning and the Detection of Deception at Behavioral Econ Workshop, UofU.
  • [2020] Funding Fanny--Microfinance and Empowerment of Women in India at Intl Conf on Sustainable Dev & Edu.
Teaching
  • [2024] Instructor, Principles of Macroeconomics, Econ 2010, Summer24, UofU
  • [2024] Instructor, Principles of Microeconomics, Econ 2010, Spring24, UofU
  • [2023] Instructor, Principles of Microeconomics, Econ 2010, Fall23, UofU
  • [2023] Instructor, Intermediate Microeconomics, Econ 4010; Summer23, UofU
  • [2023] Instructor, Intermediate Microeconomics, Econ 6010; Summer23, UofU
  • [2022] Instructor, Q-Pod Tutoring; Fall22, Spring23, Spring24
  • [2021] Guest Lecturer, Women's Christian College, University of Calcutta

© Sanchaita Hazra
Thanks to Jon Barron for this nice template
Vibrant Kolkata skyline art is from here