How AI is Changing Personal Data Tracking and Protection

AI can be utilized to identify, track and monitor individuals across multiple devices, whether they are at work, at home, or at a public location. This makes personal data anonymous once it becomes a part of a large data set, an AI can de-anonymize this data based on inferences from other devices. This blurs the distinction between personal and non-personal data, which has to be maintained under present legislation.

What made AI attractive for use in information gathering in the first place are three things:

• Speed

• Scale

• Automation

The speed at which AI does computations is already faster than what human analysts are capable of, and it can also be arbitrarily increased by adding more hardware. It's inherently adept at utilizing large data sets for analysis, and is arguably the only way to process big data in a reasonable amount of time. It can perform the designated tasks without supervision, which greatly improves analysis efficiency. These characteristics of AI enable it to affect privacy in a number of different ways.

However, efficiency in data mining be boosted with AI to ensure data accuracy and data protection.

Data accuracy: AI algorithms is designed to manage and manipulate large data sets in a reasonably short amount of time. The output of such data is based on the set of rules for problem solving operation that can fetch and analyze data accurately to give desired result. None human interference in data analysis void bias in given output. For these reason, AI is reliable to delivering data accuracy.

Data Protection: AI utilizes large datasets for analysis while processing big data. AI algorithm can detect the data alteration to ensure confidentiality, integrity and availability of such data. It be used to identify, track and monitor people accessing data through multiple devices, including when they are at work, at home, or out in public as well as denying access to unauthorized personnel.

AI utilizes sophisticated machine learning algorithms to infer or predict sensitive information from non-sensitive forms of data. For example, someone’s keyboard typing patterns can be utilized to deduce their emotional states such as nervousness, confidence, sadness, and anxiety.

Astonishingly, a person’s political views, ethnic identity, sexual orientation, and even overall health can also be determined from data such as activity logs, location data, and similar metrics. Broad AI usage facilitate the larger amount of tasks can be accomplished with zero individual input.