Automating Accountability Mechanisms in the Judiciary System using Large Language Models
Holding the judicial system accountable often demands extensive effort from auditors who must meticulously sift through numerous disorganized legal case files to detect patterns of bias and systemic errors. For example, the high-profile investigation into the Curtis Flowers case took nine reporters...
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| Materiálatiipa: | Oahppočájánas |
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Massachusetts Institute of Technology
2024
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| Liŋkkat: | https://hdl.handle.net/1721.1/156750 |