Papers
arxiv:1805.01217
CLAUDETTE: an Automated Detector of Potentially Unfair Clauses in Online Terms of Service
Published on May 3, 2018
Abstract
A machine learning system is developed to automatically detect potentially unfair clauses in online platform terms of service, offering a valuable tool for both lawyers and consumers.
AI-generated summary
Terms of service of on-line platforms too often contain clauses that are potentially unfair to the consumer. We present an experimental study where machine learning is employed to automatically detect such potentially unfair clauses. Results show that the proposed system could provide a valuable tool for lawyers and consumers alike.
Get this paper in your agent:
hf papers read 1805.01217 Don't have the latest CLI?
curl -LsSf https://hf.co/cli/install.sh | bash Models citing this paper 0
No model linking this paper
Cite arxiv.org/abs/1805.01217 in a model README.md to link it from this page.
Datasets citing this paper 2
Spaces citing this paper 1
Collections including this paper 0
No Collection including this paper
Add this paper to a collection to link it from this page.