SiPP - Simple Privacy Policy
SiPP: Simple Privacy Policy
Introduction
Privacy Policies are legal documents that are long and complex that enable the initiated to select their preferences and cripple the uninitiated into opting in by default into the conditions by the organizations to utilize their service.
In today's world, technology is an integral and influential part of most lives. While technology provides services, and to provide services, user-specific data that can be interpreted into information is crucial. Privacy policies are the means to collecting this data legally while providing services and monetizing the same for other incentives. [Trivia: in 2017, data became more valuable than Oil]
For generalizing the privacy policies, universal guidelines are established.
We introduce SiPP, Simple Privacy Policy, that enables you to take smaller bites into the privacy policies with ease by selecting categorizes that the it is broken down into. This is based on the FTC and OECD principles backed by OPP-115 dataset.
fig: identified categories to break down privacy policies into bite size
Survey
On conducting survey of over 50 people and interviewing over 20 candidates, we had identified the following:- Privacy Policies are not easy to read for the following reasons:
- Too long
- Not easy to comprehend
- Although people read the policies,
- They do not read the whole policy (adding to the point that they are long)
- They often change.
fig: Reasons for not reading Privacy Policies
fig: What people look for in Privacy Policies
Scalability
Although user uploading the files and text is possible, processing all this using the models takes decent computational power and having it on server end is not easy. Hence, as of now, the tool has limited privacy policies and would be maintained bimonthly based on requests made to the team.
Outcome Stats
90% of our users were extremely happy with the application while the rest of the 10% were satisfied with it.
fig: Average User Rating
fig: User rating about accuracy of the sentences in the tool
Team members
- Balaji Issac
- Dhiraj Shanmukha Mitra V
- Ganesh Sai Dontineni
- Manoj Sirvi
- Prudhvi Potuganti
Demo Video: https://youtu.be/07BOck2R7n8
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