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Publicação
AI-Driven Justice: Investigating the adoption of AI tools in supporting the justice system
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| 1.24 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
With the rapid development of artificial intelligence (AI) systems, their implementation in
judicial processes is becoming a reality, offering automation in data collection, case analysis
and prediction, despite lacking emotional and empathetic capabilities. To address the lack of
holistic studies on public and professional perspectives regarding ‘smart courts’, this study
explores the factors driving AI adoption in the justice system and its broader outcomes,
addressing both technical and humanistic constructs. Drawing on a quantitative approach, the
study employs partial least squares structural equation modeling (PLS-SEM) to evaluate both
measurement and structural components of the proposed model. The results show that
perceived usefulness, ease of use, trust and job threat significantly influence public attitudes,
while ethics-related concerns unexpectedly emerge as non-relevant. The findings aim to
provide actionable insights for policymakers to ethically integrate AI into legal systems while
safeguarding fairness, trust, and public confidence.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Business Intelligence
Palavras-chave
Artificial Intelligence Justice System Ethics Structural Equation Modeling Technology Adoption Modeling SDG 9 - Industry, innovation and infrastructure SDG 10 - Reduced inequalities SDG 16 - Peace, justice and strong institutions