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Found 5 papers, 2 papers with code
Do Language Models Learn about Legal Entity Types during Pretraining?
Language Models (LMs) have proven their ability to acquire diverse linguistic knowledge during the pretraining phase, potentially serving as a valuable source of incidental supervision for downstream tasks.
Fair Models in Credit: Intersectional Discrimination and the Amplification of Inequity
Drawing from the intersectionality paradigm, the study examines intersectional horizontal inequities in credit access by gender, age, marital status, single parent status and number of children.
The Double-Edged Sword of Big Data and Information Technology for the Disadvantaged: A Cautionary Tale from Open Banking
This research article analyses and demonstrates the hidden implications for fairness of seemingly neutral data coupled with powerful technology, such as machine learning (ML), using Open Banking as an example.
Automated Refugee Case Analysis: An NLP Pipeline for Supporting Legal Practitioners
In this paper, we introduce an end-to-end pipeline for retrieving, processing, and extracting targeted information from legal cases.
Experiential AI
Experiential AI is proposed as a new research agenda in which artists and scientists come together to dispel the mystery of algorithms and make their mechanisms vividly apparent.
