Revolutionizing Digital Consent: An Automated Approach to Simplifying and Deciphering Privacy Policies for Empowered User Understanding

Author:

Soneji Shikha1ORCID

Affiliation:

1. College of IST, Penn State University, United States

Publisher

ACM

Reference16 articles.

1. Kevin D Ashley and Stefanie Brüninghaus. 2009. Automatically classifying case texts and predicting outcomes. Artificial Intelligence and Law 17 (2009).

2. Joe Collenette, Katie Atkinson, and Trevor Bench-Capon. 2023. Explainable AI Tools for Legal Reasoning about Cases: A Study on The European Court of Human Rights. Artificial Intelligence (2023), 103861.

3. Joe Collenette Katie Atkinson and Trevor JM Bench-Capon. 2020. An Explainable Approach to Deducing Outcomes in European Court of Human Rights Cases Using ADFs.. In COMMA. 21–32.

4. Hamza Harkous, Kassem Fawaz, Rémi Lebret, Florian Schaub, Kang G Shin, and Karl Aberer. 2018. Polisis: Automated analysis and presentation of privacy policies using deep learning. In 27th { USENIX} security symposium ({ USENIX} security 18). 531–548.

5. Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692 (2019).

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