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Publicação
Integration of AI and Law Viewed Through Explainability: A Framework to Facilitate AI Integration in the Judiciary
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| 1.13 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
The field of AI is growing extremely rapidly. Recent advances have greatly increased interest in exploring its application in different domains, including in the practice of Law which presents particular challenges. The blackbox nature of cutting-edge neural networks directly conflicts with the necessity for transparency in legal proceedings, alongside the apparent shift in research focus from simpler diverse narrow systems to more general NLP systems such as LLMs which can be considerably opaquer despite having inherently intelligible output. Therefore, there’s a need to evaluate the integration of AI from the perspective of output explainability and intelligibility to the human users and affected parties. To this effect, a systematic literature review of the state of AI and Law was conducted wherein the major concerns are exposed, such as subtle algorithmic bias. Later, a framework is proposed to serve as a basis for planning and facilitating the implementation of AI systems as an assistant for legal professionals in legal tasks.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
Palavras-chave
Artificial Intelligence Law Human-Computer Interaction Explainable AI (XAI) SDG 8 - Decent work and economic growth SDG 16 - Peace, justice and strong institutions