This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $250,000 to Georgia Tech Research Corporation to conduct a comparative study of machine learning training methods for large language models. The study aims to identify and articulate the ethical considerations around data training practices, such as environmental impact, labor practices, financial costs, and data quality trade-offs. Key objectives include interviewing researchers, examining the trade-offs of different training approaches, and developing ethical models and resources to guide responsible AI training. The findings will contribute to a framework for AI researchers to evaluate data training methods and train students to consider these critical factors as they transition into industry roles. The award period runs from August 15, 2024 to July 31, 2028.
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