KENKO TECHNOLOGY

Data Protection

For Kenko, as an AI and deep learning based technology, data is king. It is the core input, our source of learning and without it, there is no justification for our cause. In order to determine the emotional state of a user, s/he must be monitored continuously for her/his physiological data. This can be achieved using unique sensors that are already wide-spread and highly available in the consumer market today.

 

But with great data comes great responsibility, and keeping your privacy is our top priority. We understand the importance of confidentiality, data protection and our users wish to remain safe. We ensure the safekeeping of any information collected by fully complying with frameworks and standards such as GDPR.

What is GDPR?

The General Data Protection Regulation (“GDPR”) is a European Union Regulation that establishes a new framework for handling and protecting the personal data of EU-based residents. One of the aims of the GDPR is to harmonize and update data privacy laws across Europe, including with respect to non-European companies that process personal information of EU data subjects.

 

GDPR significantly increases the responsibilities for organizations and businesses in how they collect, use, and protect personal data. At the center of the new law is the requirement for organizations and businesses to be fully transparent about how they are using and protecting personal data, and to be able to demonstrate accountability for their data processing activities.

The latest advances of machine learning and deep learning technologies allowed us to provide new effective paradigms for translating big biomedical data into an improved healthy life and better productivity in both our work environment and personal life. It is the wheel that drives Kenko Technology. However, due to the fact that machine learning is data hungry, in most use cases it can have a negative impact on the end-user’s privacy. Data that is seemingly innocuous through the eyes of a human, suddenly produces insights and predictions that only a machine could infer. In most cases, machine learning based solutions that store personal sensitive data must be planned accordingly in order to preserve the safety and protection of its data. Any misuse of the data can be harmful, and a data breach can put the individuals behind at risk. 

Data Privacy and Machine Learning

The data we collect and why it’s safe

Identifiable

Identifiable

Non-identifiable

Non-identifiable

The GDPR is consistent with how we operate our service. We value the confidence our customers and their end-users put in us and take the responsibility of protecting information seriously. That is why we have put in a lot of time and effort to make sure we collect only the minimum amount of data necessary to provide our services.

 

Kenko will only collect non-identifiable data about its end-users and store zero personal information.

Other emotion analytics methods such as facial expression recognition or speech recognition stores built-in personalized information and has high vulnerability, as shown in Figure 1. Kenko technology utilize physiological data only, which can be stored anonymously and cannot be linked in any way to its source. We do not track the end-users’ personal information and any personal activity in all cases. 

 

Since we do not store any personal data that is related to our end-users, we fully comply with GDPR and other data protection standards and regulations, and promise our customers full protection and confidence in our product.

facial expressions recognition

voice and speech analysis

phsyiological-based analysis

phsyiological-based analysis

voice and speech analysis

facial expressions recognition

Figure 1. Comparison of identifiable and unidentifiable biometric data

Data Protection

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