Delivered on February 10, 2025
“GRoW-VA” by PrivacyTech Inc
YAMASHITA Daiske / Founder and CEO
Affiliation and position information is as of the time of distribution
The "Location Information Data Solution Catalog" has appeared on the LBMA Japan website as a tool that covers the location information data business. We will be listing the wide range of services offered by our member companies one after another. Among the published solutions, He talked about PrivacyTech's solution "GRoW-VA" which will be released after this spring. A solution that fully supports the “defense” of AI and data utilization. It is said that it is possible to measure the efficiency of the workload by up to 90%.
Details of the solution and how will it respond to legal updates? They also answered questions such as:
＝＝＝＝
Streamline the data utilization process: “GRoW-VA” fully supports the “defense” of AI and data utilization
PrivacyTech is a company that promotes the use of personal data in general, including location data, while working on how to eliminate privacy and ethical concerns.
We provide solutions that utilize technology and human power to enable smooth data use.
And a new service called "GRoW-VA" will be released in spring 2024.
It aims to streamline the data utilization process within companies.
Within a company, business departments that consider developing new products using data or data integration require a lot of coordination with the legal and security departments.
Until now, there was a lot of cumbersome communication, such as using email and Excel checklists, which led to an increase in workload.
GRoW-VA is a SaaS-type web tool that centrally manages these coordination processes.
It streamlines the process of creating ethics documents for data utilization and speeds up the review.
When you register for a GRoW-VA subscription, you will be issued an account that can be used within your company.
This tool has two main roles.
The first is a role for the business side.
Business department users in charge of product development and data utilization use it to submit applications for data utilization and input the measures they will take. Reviewers can audit and check based on that information. It is in the form of a "request document" specialized for data utilization.
In recent years, with the advancement of AI technology and the promotion of data utilization, new projects and cases have emerged one after another within companies.
However, the reality is that the burden on departments engaged in reviewing these cases is increasing.
In particular, because laws and guidelines change daily, reviewers need to keep up with the latest information,
and this burden is a major issue for companies.
The other role is "drawing out similar cases."
Past reviews and similar cases can be referenced, which allows users to draw on past experience and judgment criteria to
perform quick and accurate reviews.
We are using generative AI to streamline this process and develop a platform that allows companies to use data in compliance with the latest laws and guidelines.
＝＝＝＝
High security level that also supports legal and guideline updates
GRoW-VA's database is also compatible with updates to laws and guidelines.
PrivacyTech will work with lawyers and others to address differences and interpretations of updates, and then have the generative AI learn from them.
In addition to being able to pull out information when users want to look it up,
they are considering expanding it to the form of "explanatory documents" through web content.
In addition, company regulations and past judgment cases can be customized for each company.
This allows a database to be built that reflects the company's unique rules and past cases,
making it possible to provide the optimal review process within the company.
In this way, GRoW-VA tracks changes in laws and regulations in real time and automatically extracts past precedents and cases,
supporting privacy protection and ethical judgments when using corporate data, and realizing business efficiency and risk reduction.
Regarding concerns about data leaks and security when using generative AI,
GRoW-VA ensures a very high level of security against these issues.
As a specific measure, the "boxes" of data used to train the generative AI are completely separated and operated.
AIs that learn in different areas, such as company regulations, personal information, and location information guidelines, operate in their own independent "boxes" and are separated from data in other areas. This approach strengthens security and allows the AI to derive accurate results without confusing other data. It is also possible to place the AI system on an in-house server, and although there are some parts that require the use of external systems, the reading of information can be achieved through an API to link with the in-house server, so there is no need to worry about data leaking outside the company, and data can be managed internally while safely linking with external parties. Appropriate access control is also in place for internal information management. For example, when dealing with highly confidential matters within the company, such as reviewing questionnaire forms, access restrictions are set on a ticket-by-ticket basis to prevent unauthorized viewing. The company is also considering introducing a system that allows for easy login using existing IDs and passwords, and other mechanisms that enable seamless linking with systems used within the company.
Regarding the system usage fee, considering the efficiency improvements and workload reduction effects that the tool provides,
it can be said that it is cost-effective.
In particular, it is expected that reviewer work efficiency will be significantly improved by up to 90%,
which may result in significant savings in labor costs and time.
GRoW-VA is scheduled to be released at the end of March or April 2025.
