System & Method for Analyzing Privacy Policies

Abstract

A natural language processing system is adapted to locate, extract and analyze content and meaning of provisions in user data management agreements employed by digital service providers (DSPs) and related entities. The resulting analysis can be used to inform (and as part of a) data privacy protection systems that utilize personal / corporate privacy policies to engage with DSPs according to a desired set of protection parameters.

Description

RELATED APPLICATION DATA[0001]The present application claims the benefit under 35 U.S.C. 119(e) of the priority date of Provisional Application Serial Nos. 62 / 951271filed Dec. 20, 2019; and 62 / 957885 filed Jan. 7, 2020; and 62 / 964428 filed Jan. 22, 2020, all of which are hereby incorporated by reference. The present application is also related to the following applications, all of which are filed on this same date and incorporated by reference herein:[0002]System & Method for Implementing A Privacy Policy; serial no.[0003]System & Method for Effectuating User Access Controls; serial no.[0004]System & Method for Adjusting Privacy Policies; serial no.[0005]System & Method for Implementing User Watermarks; serial no.[0006]System & Method for Recommending Alternative Service Providers; serial no.[0007]System & Method for Effectuating Data Countermeasures; serial no.[0008]System & Method for Implementing a Digital Data Marketplace; serial no.FIELD OF THE INVENTION[0009]The present invent...

AI Technical Summary

Benefits of technology

The patent offers a user-friendly way to manage privacy settings for digital services. The user privacy charter provides a master control panel for privacy management, allowing users to set their own preferences and needs. This simplifies privacy for users while also ensuring data sets are protected from repossession and litigation before they get traded. The patent also describes a method for implementing privacy protection for users by controlling online interactions with digital services providers. The automated security agent generates both accurate requests and decoy requests containing artificial data to reduce data tracking and assignability of user data to the user.

Problems solved by technology

Employees and customers of enterprises face a lack of transparency, privacy and agency as they move and transact online, getting tracked along the way, prompting heightened concerns about commercial use of privacy relevant.

Enterprises don't know who tracks their employees, nor do they know what data is harvested, where it's sold and at what price.

Companies, meanwhile, are struggling to design privacy respecting and trusted products and services, to position their brands in an era of “privacy computing,” and to mitigate fines for non-compliance consumer-focused legislation, such as the EU's General Data Protection Regulation (GDPR).

The problem is exacerbated because consumers employ a wide variety of devices, which capture their personal data.

The number and variety of settings can be overwhelming for a typical user to appreciate, let alone review and configure.

In addition, there are often overlapping privacy setting conflicts and interplay that are invisible to the user.

These general-purpose solutions cannot accommodate the very subjective notions of individual privacy concerns.

Browser plug-in block tracking, but they don't provide transparency into what happens with user content once it is collected.

In other words: When users transfer the rights over their data to digital service providers, they may not only overuse it and not adequately respect consumer privacy but also find themselves reluctant to share it with other parties because of concerns over creative destruction.

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