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New Privacy Laws Don't Keep Up With New Technology Recently, new privacy laws have passed around the world and lawmakers have celebrated these achievements. However, new gaps have emerged in the legal framework protecting user's privacy. In the last few years, laws like the GDPR and CCPA, have granted users rights over their personal information by giving users the ability to view or erase the information businesses collect about them. But, many agree that these changes have been mainly symbolic. A major issue with enforcing new privacy laws is getting companies to obtain user's consent to collect and use their information. In order for users to truly consent, they need to have an understanding of the information they are agreeing to. However, given the amount of time it would take to read and understand all the terms and conditions a user would encounter in a year, and the fact that most users don't read these agreements, obtaining true consent is impractical. Because of limited resources, regulators prioritize ensuring companies adhere to the new privacy laws by enforcing an adequate level of transparency. This has led to a surge in the use of black letter, or strictly legal, language in user's agreements. With information moving so quickly across international boundaries and so many of the world's businesses operating globally, users and businesses remain confused about what they are allowed to do and what businesses are legally allowed to do. Privacy laws are slow to keep up with changes in technology. Laws generally take a long time to pass, and once laws are on the books they usually don't keep up with changes in technology. What's more, companies often combine the personal information they've collected with other datasets in order to make inferences about people. Legal challenges often arise around inferences that are harmful, sensitive, and/or incriminating. But because these inferences are often made by companies and are not actively provided by an individual, they often fall into a legal gray area. There are many ways that companies gather information that are outside the purview of the law. Data brokers collect information about people who are unrelated to the data that's collected, often by purchasing information and compiling detailed profiles. The government can purchase personal information as well. Some argue that in order for people to have greater control over sensitive and personal information, the law should support restraints on what information companies are allowed to collect and use in the first place. There are proposals that provide outright bans on some practices, such as the ban on the sale of sensitive personal information. Many companies are collecting increasingly larger amounts of information in order to train and develop artificial intelligence. There are few, if any, legal constraints on what information companies collect and/or how they use it. As such, it will fall on people to be able to decipher what companies are doing, and protect themselves, which most people are unable to do.

Digital Privacy Laws Struggle to Keep Pace With Data-Hungry Technology But as lawmakers celebrate landmark laws such as Europe’s General Data Protection Regulation and California’s new Consumer Privacy Act, researchers and advocates say that privacy laws still leave gaping holes. On paper, new laws give people the right to know what information a company has about them, ask that information to be deleted and prohibit companies from sharing it. But enforcement can be tough because regulators are often badly outnumbered, overseeing thousands of businesses, and investigations can drag on for years. And fines may only make up a tiny percentage of revenue for some of the biggest tech companies, which may be willing to write checks and chalk up fines as the cost of doing business. Consent is key to these laws. Companies can’t collect certain kinds of data without explicit consent from users. But many researchers say consent is a flawed idea. Users are being asked to understand and control what happens with their own data, and it’s been shown again and again that consumers are not up to that challenge. It would take weeks of full-time work just to read all of the terms of service and privacy policies that a person encounters in a year. Companies can be required to be more forthright in asking for consent, but many of those banners nudge people to give in and hit “accept.” Data can be sent around the world in a matter of milliseconds, but laws stop at national borders. Attempts to craft rules for how much data can be sent between Europe and the U.S. have repeatedly fallen apart, creating legal uncertainty. Researchers also say that the laws are struggling to keep up with technology. Companies can link different kinds of data to identify people they claimed to be keeping track of anonymously. They can infer information about politics, financial status, health that’s in a legal gray area because people didn’t provide the information directly. Governments can sometimes buy this kind of data that they would otherwise need search warrants to obtain. And as companies start using A.I. more, data-hungry A.I. algorithms will only increase the demand for personal information. As a result, some privacy advocates want laws that minimize the amount of data companies can collect and prohibit certain kinds of data, such as precise geolocation data, from being sold, period, taking the burden of protecting their information off individuals’ shoulders. Industry groups argue that regulations should avoid being too onerous, saying they can stifle innovation and crush small companies.

As legislators around the world applaud new privacy laws, researchers and advocates say the laws are proving ineffective against the sheer scale of modern data collection. Europe's General Data Protection Regulation, California's Consumer Privacy Act and a host of other laws have given consumers new rights in relation to their data. But researchers say that, in reality, those protections are often ineffective. A big part of the problem, many say, is that current privacy laws are based on the idea that people give consent when they share personal information. Consumers do not always know what they are consenting to, since few people read terms and conditions, and those that do get overwhelmed trying to understand them. An oft-cited study that found people spend weeks just reading everything they need to to in order to understand a single transaction. Meanwhile, "consent" options tend to be presented in a way that convinces users to accept rather than think critically. Another issue is enforcement. With thousands of companies falling under their jurisdiction, regulators don't have enough resources to thoroughly investigate each violation. Even when they do find someone guilty, the financial penalty is often miniscule compared to the profits being made by that company's data mining practices. This has resulted in companies such as Google treating regulatory fines as a normal part of business. At the same time, the global nature of the internet undermines attempts by governments to assert control. Since communications between consumers and businesses take place within milliseconds on giant servers, authorities in one country do not have control over information moving into and out of their country. Disputes over the transfer of data between Europe and the US have already resulted in the mutual cancellation of data sharing agreements by both governments. Technological advances in data analysis and storage are making privacy even harder to manage. By combining multiple databases, companies can recreate a data profile of an individual even if their information on that person has been deleted. In addition, data privacy laws tend to only apply to explicitly collected information, not data that can be inferred from other information. Predictive algorithms are being used to make guesses about all sorts of information about consumers, from health to wealth. Laws governing consumer data do not apply to the data brokerage industry or to other information held by companies. These industries hold massive amounts of information on individuals, much of it potentially valuable to law enforcement. While authorities now obtain warrant to access private databases, they can also simply buy the information from corporations for a price. Many privacy advocates say that a better approach would be to restrict companies from collecting data in the first place, particularly in areas relevant to identity. They propose stricter data minimization laws that prevent companies from engaging in any data practices irrelevant to the services they provide. This includes the outright banning of data sales by tech giants such as Google in the case of sensitive information such as location data. Industry proponents, however, say such restrictions would hamper innovation and place an unfair burden on smaller companies that do not have the resources to deal with complex regulations. As artificial intelligence grows more sophisticated, requiring more and more information for training, the debate is expected to heat up. For now, authorities urge consumers to protect their own data, an impossible task for most ordinary internet users.

As governments continue to develop more strict privacy laws researchers are beginning to show concern over whether these laws can effectively cover the amount of data being collected by companies. Many countries have developed privacy acts that allow their citizens to know what data companies are collecting and can delete or stop companies from using their data. Although there are flaws with these new regulations many people believe it to be a positive. There are many drawbacks to these laws. Privacy policies allow companies to gain your consent to use your data. Since most people do not read privacy policies its almost impossible to truly tell if someone knows their data is being used. It's been said that it would take the average person 7+ hours a day for one year just to read all the policies you'd come across. There are many reasons why people don't take the time to read these policies and some people even say the companies purposely do this to ensure consent. Another issue with privacy laws is enforcement. There aren't enough employees within regulatory agencies to keep up with all of these companies. When cases are investigated it can take multiple years. Once fines are given to companies it can sometimes seem cheap compared to their earnings. Because of how global our world has become with internet and data. There is so much gray area when it comes to international laws and regulations. Recently we've seen many examples of why moving EU data to the US isn't possible and will create issues. As our technology advances there is more gray area around privacy laws. What is considered personally identifiable information? Companies can use databases of information and figure out who people are by matching different sets of data together. Also with all the new information being derived from peoples data where does the line get drawn when you didn't give that information. Not all forms of collecting data will fall under these new laws. Companies such as data brokers buy and sell peoples information with no knowledge of that person. Governments also can use this data to find information about people that they wouldn't have been able to obtain without a warrant. With more technology and companies developing ways to profit off peoples data. There are calls for change from those who believe that people should have more control over their information. One example would be limiting what information a company can collect on you. Privacy laws are something that will continue to grow and evolve with our world. Currently its up to each of us to help secure our own information.

**How Privacy Laws Are Struggling to Keep Up with Today’s “Data-Devouring” Technology** As countries around the world celebrate the passage of landmark privacy legislation, the reality on the ground is far from meeting the ideals of protecting people’s information. Despite progress being made and many new rights and freedoms granted to the information holder, in reality significant gaps remain in terms of how information is actually protected. New regulations that grant individuals greater access to their information and the ability to limit its use have been established by European and California laws, as well as by the laws of other countries and states. However, these laws are largely symbolic and do not provide sufficient protection of personal information, critics say. Most current privacy frameworks rely on consent for their implementation. Users are presented with lengthy privacy policies and disclose how their data will be used after they have given their consent. Unfortunately, most users do not read the lengthy privacy policy and even if they do, most users do not understand the policy and hence cannot make an informed decision. In many cases the lengthy privacy policy is hidden behind a consent banner that is designed to influence the user to click on the ‘accept’ button. Enforcing these right is also an issue for two reasons: There are way too many companies to monitor and, more importantly, there are way too few people to do so. It takes years to complete an investigation by now. The fines that are awarded in the end of such processes can be high in absolute numbers but usually only amount to a fraction of a company’s average daily revenue. Thus, treating fines as just another business expense seems to be the most appropriate response from a company’s point of view. The fact that information online is shared across the globe within a split second means that it is also restricted by the borders of the internet. When a company is based in one country but holds the information of people from another, it can prove difficult for regulatory bodies to assert their legal authority. New forms of personal data, such as inferences drawn from analytics about individuals’ health, financial situation, political views, etc., often generated by algorithms within organizations, raise critical questions regarding legal sufficiency as these inferences are not provided by users themselves. Rather, these potentially highly sensitive aspects of personal information are generated through use of data, which may have been originally collected with adequate protection under applicable privacy laws. These problems are compounded by categories of information collection that exist entirely outside the purview of current law. For example, data brokers amass profiles on individuals using a variety of sources of information including public records, information about use of particular mobile applications, and information purchased from other companies. Commercial data is increasingly also becoming subject to government requests for information that would otherwise require a search warrant or other process to compel. Advocates for privacy are urging a move from trying to get individuals to opt-in to certain uses of their personal information to placing restrictions on the information that can be collected by companies and how that information can be used. Efforts to restrict data collection range from banning the sale of location data and other sensitive information to data minimization proposals that seek to ban certain practices outright. Many industry groups believe that data protection laws will stifle innovation. These same organizations recognize that large corporations can probably absorb the costs of privacy but fear that smaller start-ups could be halted in their tracks by overly cumbersome rules. Many argue that we are leaving the protection of individuals’ privacy in the hands of people who are not equipped to do so adequately. Experts suggest that until there are more effective privacy protection measures in place, individual protection of their own privacy will continue to be a major challenge.

**The Challenges Digital Privacy Laws Face to Cope With Data-Wanting Technology.** As government authorities across the globe, rejoice over the passage of major privacy regulations, scholars worry that these laws are subject to constraining forces of contemporary data collection practices and do not cover incredible gaps in how the privacy of individuals is maintained. The General Data Protection Regulation in Europe, the California Consumer Privacy Act, and the increasing number of similar regulations at different levels do provide new rights for people to access, delete, and restrict the use of their data. Nevertheless, critics say that these rights are not so beneficial and do not mean anything in practice. The first issue arises with the notion of consent. Most of the regulations depend on the principle that people give consent to the way their data is handled after they read certain disclosures. In reality, in most cases, only a few people read full legal documents, and very few people comprehend them. One popular study found out that reading the full range of agreements a person has to encounter each year would take weeks of time. The situation with consent notifications is even worse as they are often made to manipulate consumers into pressing the accept button. The issue of enforcement is also problematic for the current legal framework. Regulation agencies are typically understaffed as they have to supervise a lot of companies. For instance, an investigation may last for several years, which is aggravated by the fact that fines imposed by authorities, although high in absolute terms, may appear to be a small part of a company’s revenue. The problem of borders also complicates the situation even more. The internet is not bounded by any borders since data can move from one jurisdiction to another within a second. However, from a legal point of view, there are restrictions on where data can be sent. The long-term argument regarding the transfer of data from Europe to America is just an example of the immense uncertainty the countries, companies, and individuals face in relation to this legal conundrum. Thus laws are out of date since they are unable to apply to the reality of the situation at hand. For example, in most cases, privacy laws deal with personal information; however, due to the continuous development in the field of data mining, companies can anonymize the data they use. At the same time, they can also apply algorithms to draw conclusions or predictions about the properties of individuals, but the legal justification of such processes does not exist. Moreover, there exist a large number of cases of data collection practices that are not covered by the laws in force. Companies use databases, applications, and available information to create data profiles about a certain person, applying information found in the public domain. The access of the government to the information collected by the business also provokes considerable questions since in many cases the government can buy the information it needs without permission. Advocates of data privacy prefer to reject the process of giving consent, favoring the prevention of possible data collection practices. Nevertheless, the industry has its own point of view, claiming that the department of data collection should recognize the links between business policies and advances in technology.

Digital privacy rules fail to keep up with data hungry tech On the very day that lawmakers across the world hailed new privacy rules, researchers and advocates said those laws were under pressure to keep pace with the diverse and widespread ways that data about individuals is now collected. But rights to access and delete and to limit how companies can use our data, already promised in Europe's General Data Protection Regulation, California's Consumer Privacy Act, and by a bubbling collection of state and federal laws, often seem more dutiful than decisive. A key challenge is consent. The majority of privacy regimes are based on the assumption that individuals consent to data practices after they read disclosures. In reality, hardly anybody reads the terms and conditions of a website or service, and even fewer comprehend what they say. One oft-cited study calculated that it would take several weeks of work to read through all the privacy policies an average person is exposed to each year. Enforcement is also difficult. Agencies are perpetually short-handed and have thousands of firms to monitor. It can take years to build a case, and fines can be substantial but still represent a fraction of the revenue of large tech firms. Some view them as a cost of doing business. The borders of the internet are another complication. Data crosses borders within milliseconds, but legal jurisdiction is confined to nation states. Negotiations to transfer European data to the US have failed time and time again, throwing the whole system into disarray. Legal definitions are lagging technology. Privacy protection is usually based on "personal information," though one can usually attempt to merge separate datasets and re-identify anonymized data. So-called inferences, based on algorithms predicting something about one's health, finances or political outlook, fall into a gray area: that information isn't directly provided by the user. At the same time, massive categories of data collection do not have any rules. Data brokers aggregate all kinds of granular details from publicly available information, app data, and purchases, sometimes with no connection to the subject at all. Government acquisition of commercially available information is also problematic - law enforcement agencies are sometimes allowed to purchase data without a warrant. Some critics have pushed for a move away from requiring individual consent toward restrictions on what companies can collect at all - so-called data minimization - and use. (Others have suggested eliminating some uses entirely, such as monetizing sensitive location data.) Those industry groups argue too-strict regulations could be a productivity drag and burden small businesses. The fight could ramp up once the use of artificial intelligence grows the demand for training data. Until then, though, experts maintain, people have still gotta protect themselves, a task that most are ill suited to manage.

Laws have not been able to catch up with technology that eats data. While governments around the world are celebrating unprecedented privacy laws and policies, researchers and privacy advocates say the legislation isn't adapting to contemporary practices in data gathering, and has some big holes in its protections. The EU GDPR and California Consumer Privacy Act among rising state and national laws give new powers to individuals to obtain, erase, and restrict the use of their data. But critics contend that such safeguards, in many instances, amount to little more than a window-dressing exercise. Consent is one of the main issues. Most privacy regimes are based on the premise that users will agree to a practice of the collection of data after a disclosure of those activities. In fact, only a small number of people read long privacy statements – and even then, not many people know what they mean. One oft-quoted study found it would take an average citizen weeks of work to read all the policies he or she is exposed to in a year. Consent banners, on the other hand, can be intentionally made to target users to click on "accept. Another source of difficulties lies in enforcement. Insurance regulators are always underfunded in terms of the number of companies they supervise. Proceeds from investigations can be lengthy and, although large in absolute dollars, they may be a tiny fraction of the revenue generated by large-scale technology companies. There are companies that view penalties just as another cost of business upon their services. The boundaries of the internet complicate things, as well. Data moves across jurisdictions in milliseconds; law and authority end at nation-states. Repeatedly, however, contentions have surfaced regarding the transfer of European data to the U.S., which has put businesses (and users) on hold. The law is running behind technology. There is a lot of information around of what privacy laws should and shouldn't cover, but with innovation in data analysis, those "de-identified" records can actually be re-identified when combined with other data sets. An algorithm's inferences -- whether it is predicting health, wealth or political views -- are fuzzy areas of law given the algorithms are created, not provided, by the user. At the same time, large data collection categories cannot be processed by the current rules. Data brokers maintain dossiers that are compiled using publicly available information, app activity and information purchased about individuals, and generally have little direct connection to those whose information they are profiled. Ownership of private data by the government presents more questions as agencies can at times purchase data that otherwise they would require a warrant to access. Instead, privacy experts want to give privacy dynamics a rewrite, emphasizing data minimisation over individual consent as a way of controlling what companies can collect and do in the first place. Some of the solutions being called for would make some practices illegal, like the sale of data on sensitive locations. Industry groups say that strict regulations could prevent the innovation needed and put an excessive onus on small businesses. As artificial intelligence grows, the need for training data will grow, probably triggering stronger arguments on the matter. At present, it's up to people to safeguard themselves, experts say, and few are realistically prepared to do so.

Digital Privacy Laws Are Lagging Behind The Data-Hungry Technology Researchers and advocates warn the new logjam laws are like panting tires trying to bear the heavy load of data crime as leaders from Paris to San Francisco celebrate landmark privacy regulations. Individuals have rights of access, deletion and data restriction thanks to the European General Data Protection Regulation (GDPR), California's Consumer Privacy Act (and many others) and an increasing patchwork of state and national laws across Auditor Confident regions. Still, critics say those protections amount to little more than window-dressing. One central problem is consent. Until now, most privacy frameworks have depended upon the principle that users consent to data practices by reading disclosures. The truth is, hardly anyone reads long privacy policies and even less actually understands them. One oft-cited study said that it would take weeks worth of labor to read all the policies an average person encounters in a year. Consent banners, on the other hand, are made to make people hit "accept." Enforcement presents another obstacle. Moreover, regulators are always behind the curve with so few folks compared to the thousands of companies they regulate. While fines for big tech companies may seem large in absolute terms, so often they are a fraction of their revenue and investigations can take years. Businesses treat fines as a cost of business. Things are further complicated by the fact that the world-wide web has no borders. Data may go between jurisdictions in milliseconds, but legal authority ends at the national border. Repeated invalidations of agreements covering the US transfer of European data have problematised businesses and users. Legal definitions themselves are unable to keep pace with technology. Generally, privacy laws contain exemptions for "personal information," but advances in data analysis allow companies to re-identify supposedly anonymous records when datasets are cross-referenced. Algorithmically derived inferences, such as those predicting health, financial status and political leanings, exist somewhere in the legal grey area since they are generated rather than offered up by the user. At the same time, many sectors of data collection slip through gaps in existing regulations. Bringing together those records will usually only create profiles, linked to little more than snippets of public record, app activity and information purchased from other brokers on the perfunctory buyers and sellers of private lives. Even more so, the government having access to commercially held data calls into further question, given that agencies can purchase details which they otherwise would need a warrant for. Privacy advocates counter with an approach called data minimization, which means having limits on what companies can even collect and do—instead of relying on individual consent. In some cases, proposals would outright ban practices like selling sensitive location data. But industry groups argue that excessively strict rules could inhibit innovation and burden small businesses. As artificial intelligence broadens the appetite for training data, so the battle is likely to heat up. For now, experts say, individuals bear most of the responsibility for protecting themselves — a task few are truly suited to handle.

**Laws Protecting Digital Privacies Are Slowly Being Outpaced By The Amount Of Data That Companies Are Collecting From Technology Users** While legislators around the world have been celebrating the passage of landmark digital privacy legislation, privacy advocates and researchers are warning that those laws cannot keep pace with the way we currently gather and use our data. As a result, there are many areas where the law does not provide adequate protection for users' personally identifiable information (PII). Recent state and federal laws give consumers the right to review, delete, and restrict companies from using consumer PII. However, most critics of these laws believe that the protections being offered by these laws are more symbolic than actual. A primary challenge facing all forms of digital privacy regulation is the issue of informed consent. While nearly all forms of online privacy regulation attempt to establish a connection between a company collecting consumer PII and obtaining the consumer's permission to do so, it is well established that most consumers do not actually read or comprehend privacy policies. One widely-cited study found that if one were to spend an average of just five minutes per day reading each and every privacy statement a typical Internet user encounters during the course of a single calendar year, he/she/they would be required to spend approximately two full months of work time solely to accomplish this task. Furthermore, even when consumers are presented with a consent banner, most simply click "yes" in order to continue accessing the service. Another barrier to enforcing meaningful digital privacy regulation is the fact that regulatory bodies are grossly underfunded compared to the number of entities they regulate. Regulatory investigations into alleged violations of digital privacy law can take multiple years to complete. Even then, fines issued to violators tend to be based upon a percentage of revenue that may not be material enough to impact a major technology firm's bottom line. Additionally, some of the largest technology firms view fines as merely a normal operating expense. Finally, the international nature of the Internet creates additional obstacles to enacting effective digital privacy regulation. Because data travels internationally at speeds measured in milliseconds, regulatory jurisdiction stops at national boundaries. For example, numerous times disputes regarding the transfer of personal data from Europe to the U.S. have resulted in invalidation of previously negotiated agreements and created uncertainty for both businesses and end-users. In addition to regulatory challenges, the rapid technological advancements occurring in the area of big data analytics and artificial intelligence are rendering outdated much of the language contained within current digital privacy laws. Current laws generally define "personally identifiable information" (PII) as any information that could reasonably be used to identify an individual. However, recent advancements in big data analytics have allowed companies to create profiles of individuals who had previously been anonymized by linking together various datasets. Moreover, inferences made by algorithms concerning an individual's health, financial status, politics etc., exist in a gray area of law as they represent something derived from a combination of publicly available sources, app usage patterns, credit reports etc. versus data provided directly by an individual. Additionally, several types of data collection activities are taking place which are beyond the scope of current digital privacy regulations. For instance, data brokerages are compiling comprehensive dossiers containing information on virtually every aspect of an individual's life through a variety of means including; public records searches, app usage data, information purchases etc. without having any direct relationship to the individual(s) being profiled. Similarly, government acquisition of commercially-held data has raised serious concerns as governments are able to purchase information that would normally require a warrant to acquire. Advocates of digital privacy advocate for a paradigmatic shift in the manner in which digital privacy is regulated away from requiring individuals to provide explicit consent prior to data collection towards limiting the type and quantity of data collected by companies prior to collection (data minimization). Advocates also propose banning certain types of data-related activities entirely (e.g. sale of sensitive location data). On the other hand, industry representatives argue that overly restrictive data collection limitations will hinder future innovations in technology and disproportionately harm small businesses due to compliance costs associated with implementing complex regulatory requirements. This battle is expected to escalate as AI continues to drive ever-increasing demands for high volumes of quality training data. Currently, experts agree that until legislative bodies create and implement better digital privacy laws, individuals will bear the responsibility for protecting their own digital information -- a burden that few possess sufficient knowledge or resources to assume.

**Digital privacy laws have been criticized for falling behind.** As legislators all around the world celebrate a historic privacy regulation, researchers and advocates warn that the laws are straining against the backdrop of modern data collection, leaving huge loopholes. In recent years, individuals have gained new rights that allow them to access, delete and limit the use of their data. This is due to a growing patchwork of state and national laws. Critics, however, claim that these protections are more often symbolic than anything else. Central problem is consent. Most privacy frameworks hinge on the concept that users consent to practices when they read a disclosure. No one really reads privacy policies, and fewer people understand them. An often-referred-to study calculated the time it would take an average person to read every policy that he is faced with in a year. The researchers found that it would take weeks of working time. On the other hand, consent banners are usually designed to get clicks on “accept”. Enforcement is another hurdle. Regulators have too few employees to effectively oversee thousands of firms. It may take years to complete an investigation, and while a fine may sound huge in absolute terms, they are often but a tiny percentage of revenue for a big tech company. Fines are part and parcel of business for some companies. The limits of the internet makes things worse. Although data can now travel across jurisdictions, the law remains limited by national frontiers. Disputes over the transferred of European data to the US caused the invalidation of agreements, creating uncertainity for both businesses and users. Legal definitions are lagging technology. Privacy laws often protect “personal information,” but new possibilities in data analysis allow companies to re-identify supposedly anonymous records. The legal status of algorithmic inferences like those forecasting an individual’s health, finances, or political views is unclear because people don’t intend them, they receive them. There are large categories of data collection not covered by rules. Data brokers build detailed profiles using public records, app activity, and information they purchase, often with little relationship to the person profiled. Government access to data held commercially raises further questions, as covertly agencies can buy access to that information which they would otherwise need a warrant access to. Privacy advocates are pushing for a move away from individual consent toward restrictions on what companies may collect and do in the first place, known as data minimization. There are proposals that call for banning certain business practices like selling sensitive location data. According to industry organizations, excessively strict regulations can hamper innovation and burden small companies. As artificial intelligence grows, the argument will likely increase the demand for training data. As things stand, experts say, people are largely on their own to protect themselves, a burden few can carry.

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.

**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 Laws Struggle to Keep Pace With Data-Hungry Technology** While lawmakers around the world are celebrating these important privacy regulations, researchers and advocates cautions that the laws are not matching up with the facts of today's data collection practices and therefore leave large gaps in the protection of personal information. Individuals now have new rights under Europe's General Data Protection Regulation, the California Consumer Privacy Act, and an increasing number of state and national laws which allow them to access, delete, and restrict the use of their data. However, critics argue that these protections are generally more symbolic than practical. A major issue is consent. Although most privacy frameworks are based on the notion that users agree to data practices after reading the disclosures, in fact very few people do read lengthy privacy policies and an even smaller number understand them. A study often quoted has estimated that it would take weeks of working time for an average person to read all the policies they come across in a year. As for consent banners, they are usually designed in such a way as to encourage users to click on 'accept'. There is also the problem of enforcement. The regulatory bodies are chronically short of staff when compared with the number of companies they are responsible for overseeing. Investigations may take several years, and although the fines are at times very high in absolute terms they might still represent only a small part of the revenue of large technology companies. Some companies regard penalties as being a necessary expense of running a business. The borders of the internet also make the situation more complicated. Although data can cross different jurisdictions in milliseconds, legal authority ends at national boundaries. Disputes regarding the transfer of European data to the United States have on numerous occasions nullified agreements, causing uncertainty for both businesses and users. Technology is moving faster than the legal definitions can keep up with it. While privacy laws generally cover "personal information", developments in data analysis have enabled companies to re-identify records that were supposed to be anonymous by combining different datasets. Inferences made by algorithms—for example, predictions regarding a person's health, financial situation, or political views—lie in a legally unclear area since these are generated rather than given by the user. At the same time, many areas of data collection are not covered by the current regulations. Data brokers put together comprehensive profiles using information from public records, data from apps, and information that they have bought, even when there is only a weak direct link to the individuals being profiled. Further issues arise with regard to the government's access to data that is held commercially, since agencies are sometimes able to buy information that would otherwise require a warrant to obtain. Privacy advocates claim that there should be a move from relying on individual consent to imposing restrictions on the amount of data that companies are allowed to collect and use from the start, a principle referred to as data minimization. Among the suggestions is a ban on certain practices, for example the sale of sensitive location data. Industry groups argue that excessively strict rules could hinder innovation and place a burden on small businesses; the debate is likely to become more intense as artificial intelligence increases the demand for training data. At the moment, experts state that people are still mainly responsible for looking after themselves, a duty to which few are capable of adhering.