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**Privacy Regulations Lagging Behind the Advancing Technology**

While lawmakers around the globe applaud newly adopted privacy regulations, experts raise concerns about the inconsistency between the regulations and the current state of data collection, identifying major gaps in data protection.

The General Data Protection Regulation of Europe, the California Consumer Privacy Act, and many other regional and national privacy laws enable people to access, delete, and control the use of their data. However, according to critics, those measures provide only an illusion of security.

One of the key problems of modern privacy protection is consent. Almost all data protection schemes presume that users read disclosure statements and give permission to collect and use data. Actually, very few people read privacy policies, let alone understand them. According to one research, an ordinary user will need dozens of working hours per year just to read every single privacy statement he/she comes across.

Consent banners used on web resources are not intended to inform people but rather to make users click "accept" button. It takes days or even months before users start getting acquainted with some of the terms of service.

In addition to that, enforcing the privacy laws poses numerous challenges to regulators who are significantly under-staffed in comparison with thousands of companies that operate online. Investigating companies may take years and the imposed fines, which may be quite big, will constitute only a small part of companies' revenues. Some companies simply consider the punishment as a regular expense of their business operations.

Internet does not know borders but laws of different countries regulate data in accordance with their national interests. Disputes about cross-border data transfer constantly arise between Europe and US, thus invalidating agreements.

Moreover, technology goes ahead of legal definitions. Most of the laws cover the protection of "personal information", while recent advances in data analytics allow for re-identification of anonymous records by putting them together. Data inferences made through algorithms are not covered since they are not provided by the user, but generated by the software.

There are lots of forms of data collection which go beyond existing laws. Data brokers build up extensive profiles about the people based on government, social media, and third-party databases. In addition to that, government institutions may acquire commercial data through purchasing it instead of using warrants.

Privacy activists claim that the focus should be shifted from obtaining consent of every individual to limiting data collection in general and its uses, which is called data minimization. One of the suggestions includes prohibiting certain activities, such as location data sale.

However, industry representatives claim that too much rigid regulation may suppress innovation and create difficulties for smaller businesses. It is likely that the dispute over regulating artificial intelligence will become even more heated as AI makes collecting data even more desirable.

Nowadays, experts claim that people are responsible for themselves when it comes to protecting data.

Digital Privacy Legislation Falls Behind Technological Advancements in Collecting Information

In response to the passage of major new privacy legislation by many governments around the world, there are also numerous researchers and advocacy groups who have expressed concern about whether these new legislative measures will actually be able to address all of the ways that people's personal data is being collected and used today.

The General Data Protection Regulation (GDPR) in Europe, the California Consumer Privacy Act (CCPA) in the United States, as well as an increasing number of state-level and national-level regulations are providing consumers with new opportunities to access, remove, and restrict how their data is used. However, critics argue that many of these protections may be symbolic rather than functional.

The primary issue is with consent. Most of the current privacy frameworks use the concept of users agreeing to have their data processed by organizations, as long as they have been informed about what those practices are through disclosure statements. However, in most cases, individuals do not read the long privacy policies of the organizations they interact with; even less do they comprehend them. An example of this is a well-known study which showed that it would require weeks of work for an individual to read all of the privacy policies he/she encounters during a single year. Furthermore, many organizations design their consent banners in such a way so that they will encourage individuals to click on "accept."

Enforcement is a third major challenge. There are far too few regulatory staff members compared to the number of companies they regulate. Regulatory investigations often last many years. Although the amount of a fine can be substantial, it usually represents only a very small percentage of the company's total annual revenues. For example, some companies consider regulatory fines to be just one more expense of doing business.

The boundaries of the Internet further complicate things. Information is transmitted from country to country within a matter of milliseconds; however, jurisdictional control remains limited to the confines of each nation. Disputes regarding the transfer of European Union (EU) data to the United States (US) have continually led to the nullification of agreements, which has resulted in an air of unpredictability for both corporations and consumers.

Technology is evolving so rapidly that it has surpassed the ability of the law to define and regulate it. Most laws regarding privacy protect what is considered "personal information," however, as technology advances, organizations can use sophisticated methods of analyzing data to determine who is represented in an supposedly anonymous dataset. Additionally, when organizations make predictions based upon algorithm-based analysis (e.g., predicting an individual's health status, financial situation, or political affiliation), these types of predictions fall into a gray area legally speaking because they were created by the organization and not provided by the individual.

In addition, there are many types of data collection that are not subject to current regulations. Data brokers build profiles on people using data from public records, their use of apps, and other sources. Many times these brokers do not have a direct connection to the people whose profiles they create. The use of commercially obtained data by governments also raises issues. Sometimes government agencies are able to purchase data that they would normally have to get a warrant for.

The use of data minimization, which is defined as a change in emphasis from individual consent to restrictions on how much information organizations are able to gather and utilize, has been advocated by many who support privacy rights. Many proposed changes would completely prohibit specific activities; for example, the sale of sensitive location data.

However, some industry groups say that such a restrictive set of rules will hinder new ideas, products or services and put an undue hardship upon smaller companies. This is expected to become even more contentious as artificial intelligence creates greater demand for training data.

At present, according to professionals in the field, people have to take most of the responsibility to protect themselves from harm. It's an obligation that very few people can meet.