Kshitish Ghate
MLT graduate student at the Language Technologies Institute - CMU.
Hello there!
I am Kshitish Ghate. My research interests lie in understanding how social biases are learned by artificial intelligence (AI) and algorithmic systems, and the consequences of such learned biases on society. I am interested in exploring how AI systems can be improved to deliver trustworthy and ethical decisions.
I am currently a second year Graduate Student at the Language Technologies Institute at Carnegie Mellon, pursuing a Master’s degree in Language Technologies where I am fortunate to be advised by Dr. Mona Diab . I am also grateful to be have been advised thus far by Dr. Aylin Caliskan, Dr. Fei Fang, Dr. Tessa Charlesworth, Dr. Mahzarin Banaji, and Dr. Snehanshu Saha during my undergradutate and graduate years. Previously, I graduated from BITS Pilani, India, where I completed a Bachelor’s in Computer Science and Master’s in Economics.
news
May 13, 2024 | I will be returning to UW to pursue my summer research internship where I will be co-advised by Aylin Caliskan and Mona Diab! |
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Aug 12, 2023 | I am starting my Graduate degree in Language Technologies where I will be advised by Mona Diab! |
Oct 20, 2022 | I will be pursuing my undergraduate thesis under Prof. Aylin Caliskan at the University of Washington! |
Mar 15, 2022 | I will be starting a part-time position as a research assitant at the Banaji Lab! |
Jan 1, 2022 | I will be working as a Teaching Assistant for the course Applied Econometrics! |
selected publications
- Under ReviewBias In, Bias Out: Propagation of Intrinsic Intersectional Social Group Bias to Extrinsic Zero-Shot Tasks in Vision-Language Modelsin prep
- GeBNLPEvaluating Gender Bias in Multilingual Multimodal AI Models: Insights from an Indian ContextIn Proceedings of the 5th Workshop on Gender Bias in Natural Language Processing (GeBNLP) 2024
- PNAS NexusExtracting intersectional stereotypes from embeddings: Developing and validating the Flexible Intersectional Stereotype Extraction procedurePNAS nexus 2024
- RBFCOVID-19 pandemic sentiment and stock market behavior: evidence from an emerging marketReview of Behavioral Finance 2021