Governments are adopting data privacy regulations for protecting internet users. Nowadays, it has become essential for humans to read and interpret those rules to ensure compliance.
FREMONT, CA: People leave trails of their personal data like credit card numbers, shopping preferences, and more while they travel around the internet. This serves as a money-making platform for large internet companies as they share this kind of information with their subsidiaries and third parties. The users' concern over online privacy has forced the government to design laws specifically for controlling who gets that data and how they can utilize it.
The battle is still going on. Democrats residing in the U.S. Senate currently introduced a bill that involves penalties for tech companies that misuse the personal data of the users.
The internet companies must comply with the rules and regulations, otherwise risk expensive lawsuits of government sanctions.
However, it is challenging to determine, in real-time, the occurrence of a privacy violation, which is becoming even more problematic since internet data moves to a colossal scale. To ensure that their systems adhere, enterprises depend on human professionals for interpreting the laws — a sophisticated and time-consuming work for enterprises that continually launch and update services.
The researchers at the University of Maryland, Baltimore County, have created novel technologies for machines to deeply understand data privacy laws and enforce compliance with them by utilizing AI. These technologies empower organizations to ensure their services adhere to the privacy laws and support the governments in identifying in real-time those companies that exploit the privacy rights of the consumers.
Helping the machines to understand rules
Governments have introduced online privacy regulations in the form of plain text documents that are convenient for humans to comprehend but hard for machines to interpret. As an outcome, it is vital to examine the regulations manually to make sure that no laws are being broken when private data of citizens is assessed or shared. This affects enterprises that now have to adhere to a lot of regulations.
However, one way to assist machines in understanding an abstract concept is by creating an ontology, a graph, which represents the knowledge of that concept. Borrowing oncology’s concepts from philosophy, modern computer languages, like OWI, have been developed in AI. These languages define concepts and categories in a subject domain area, demonstrate their properties, and show the relations among them. Ontologies are stored in a graph like structures.
The final words
Since cyber crimes are at their peak, there are prohibitions and permissions to prevent them. It is the responsibility of the companies that are storing data to ensure their security. However, there are dispensations made for susceptible demographics like minors.
See Also: Top Public Sector Solution Companies