Gender Disparities in Child Custody Sentencing in Spain

Riera, Júlia; Solans, David; Karimi-Haghighi, Marzieh; Castillo, Carlos; Calsamiglia, Caterina

doi:10.1145/3594536.3595135

Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law 2023

DOI: 10.1145/3594536.3595135

|View full text |Cite

Gender Disparities in Child Custody Sentencing in Spain

Júlia Riera,

David Solans,

Marzieh Karimi-Haghighi

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article2

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

A neural network to identify requests, decisions, and arguments in court rulings on custody

Muñoz-Soro,

del Hoyo Alonso,

Montañes

et al. 2024

Artif Intell Law

View full text Add to dashboard Cite

Court rulings are among the most important documents in all legal systems. This article describes a study in which natural language processing is used for the automatic characterization of Spanish judgments that deal with the physical custody (joint or individual) of minors. The model was trained to identify a set of elements: the type of custody requested by the plaintiff, the type of custody decided on by the court, and eight of the most commonly used arguments in this type of judgment. Two jurists independently annotated more than 3000 judgments, which were used to train a model based on transformers. The main difficulties encountered in this task were the complexity of the judicial language and the need to work with appellate court rulings that have a more complicated structure than decisions at first instance. For the complete court rulings, the F1 score of the inter-annotator agreement ranged from 0.60 to 0.86 and the Kappa index from 0.33 to 0.73. The F1 score of the agreement between the model and the annotators ranged from 0.66 to 0.93 and the Kappa index from 0.57 to 0.80. These results in which the model performance exceeds even the inter-annotator agreement show the high ability of transformers to identify abstract entities in legal texts.

show abstract

A neural network to identify requests, decisions, and arguments in court rulings on custody

Muñoz-Soro,

del Hoyo Alonso,

Montañes

et al. 2024

Artif Intell Law

View full text Add to dashboard Cite

show abstract

AI, Law and beyond. A transdisciplinary ecosystem for the future of AI & Law

Bex

2024

Artif Intell Law

View full text Add to dashboard Cite

We live in exciting times for AI and Law: technical developments are moving at a breakneck pace, and at the same time, the call for more robust AI governance and regulation grows stronger. How should we as an AI & Law community navigate these dramatic developments and claims? In this Presidential Address, I present my ideas for a way forward: researching, developing and evaluating real AI systems for the legal field with researchers from AI, Law and beyond. I will demonstrate how we at the Netherlands National Police Lab AI are developing responsible AI by combining insights from different disciplines, and how this connects to the future of our field.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Gender Disparities in Child Custody Sentencing in Spain

Cited by 2 publications

References 15 publications

A neural network to identify requests, decisions, and arguments in court rulings on custody

A neural network to identify requests, decisions, and arguments in court rulings on custody

AI, Law and beyond. A transdisciplinary ecosystem for the future of AI & Law

Contact Info

Product

Resources

About