2024
EACL
EACL 2024
Data-mining and Extraction: the gold rush of AI on Indigenous Languages
Abstract
AbstractThe goal of this paper is to start a discussion on the topic of Data mining and Extraction of Indigenous Language data, describing recent events that took place within the Algonquian Dictionaries and Language Resources common infrastructure. We raise questions about ethics, social context, vulnerability, responsibility, and societal benefits and concerns in the age of generative AI.
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Interdisciplinary Bridge
— Artificial Intelligence and Interdisciplinary and Machine Learning
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Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Robotics, Security & Privacy, Speech & Audio