Agree To Disagree
This addresses a common issue for internet users who often skip reading terms due to their complexity, though the approach appears incremental as it applies existing ML techniques to a specific domain.
The paper tackles the problem of users not reading lengthy and complex terms and conditions by introducing a Machine Learning approach to automatically parse and summarize critical information in a user-friendly manner, helping users make informed decisions before agreeing.
How frequently do individuals thoroughly review terms and conditions before proceeding to register for a service, install software, or access a website? The majority of internet users do not engage in this practice. This trend is not surprising, given that terms and conditions typically consist of lengthy documents replete with intricate legal terminology and convoluted sentences. In this paper, we introduce a Machine Learning-powered approach designed to automatically parse and summarize critical information in a user-friendly manner. This technology focuses on distilling the pertinent details that users should contemplate before committing to an agreement.