IELTS READING PRACTICEIELTS রিডিং প্র্যাকটিস
AIn recent decades, digital surveillance has expanded at a pace that would have been difficult to predict even a generation ago. Governments, corporations, and private entities have collectively developed an infrastructure of monitoring that now permeates nearly every aspect of contemporary life. From facial recognition systems deployed in public spaces to algorithmic tracking of online behaviour, the mechanisms of observation have grown increasingly sophisticated. It appears that no single factor has driven this expansion; rather, a convergence of cheaper processing power, widespread internet connectivity, and institutional demand for data has collectively accelerated the trend. Consequently, citizens in both high-income and developing nations have found themselves subject to levels of scrutiny that were previously reserved for criminal investigations.
BThe technological architecture underlying modern surveillance is considerably more complex than many people appreciate. At its core, mass data collection depends on a network of sensors, cameras, and software tools that continuously generate and transmit information. Artificial intelligence algorithms are then employed to analyse these vast datasets, identifying patterns that human analysts could never process manually. Given that machine learning models improve with exposure to larger datasets, the accuracy of predictive surveillance systems has risen sharply over the past decade. Furthermore, the integration of biometric identifiers — including fingerprints, iris scans, and vocal signatures — has enabled authorities to match individuals to records with a degree of precision that was previously unattainable.
CProponents of digital surveillance argue that its benefits are substantial and demonstrable. Security agencies have credited expanded monitoring networks with preventing terrorist attacks, locating missing persons, and reducing certain categories of street crime. In several documented cases, facial recognition technology has successfully identified suspects within hours of an incident, a process that might otherwise have taken weeks. Nevertheless, a significant body of research suggests that these advantages must be weighed carefully against well-documented risks. Civil liberties organisations have consistently warned that unchecked surveillance creates the conditions for authoritarian overreach, whereby states may exploit monitoring infrastructure to suppress political dissent or target vulnerable minority communities.
DThe legal and ethical frameworks governing surveillance practices have struggled to keep pace with technological development. In many jurisdictions, legislation drafted before the digital era contains substantial ambiguities that courts and regulators have had difficulty resolving. The European Union's General Data Protection Regulation represents one of the most comprehensive attempts to impose legal boundaries on data collection, establishing clear requirements for informed consent and data minimisation. In contrast, regulatory environments in other regions remain fragmented and inconsistent, offering citizens considerably less protection. Scholars in the field have argued that without robust, harmonised international standards, the proliferation of surveillance technology will continue to outstrip the safeguards designed to govern it.
ELooking ahead, the trajectory of digital surveillance raises profound questions about the social contract between citizens and the institutions that monitor them. If current trends continue unchecked, it is conceivable that persistent, real-time surveillance could become the default condition of urban life within a generation. Researchers have proposed several potential responses, including technical countermeasures such as privacy-preserving encryption and institutional reforms such as independent oversight bodies. Ultimately, however, the most durable solutions may depend not solely on legislative action but on a broader cultural shift in how societies value and defend the concept of privacy. The choices made by policymakers, technologists, and citizens over the coming years will almost certainly shape the boundaries of personal freedom for decades to come.
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According to the passage, a single primary cause has been responsible for the expansion of digital surveillance.
Machine learning models used in surveillance become more accurate as they are exposed to larger volumes of data.
The European Union's data protection regulation has been formally adopted by most countries outside Europe.
Civil liberties organisations have expressed concern that surveillance systems could be used to target minority communities.
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According to paragraph 2, what has enabled authorities to identify individuals with greater precision?
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