Identity theft is one of the most invasive and challenging issues that individuals and corporations currently face. The consequences span far beyond financial costs; they include social, emotional and psychological impact. Fortunately, technology offers some protection in preventing and detecting identity theft. But, the use of such technology also presents legal and ethical considerations that must be acknowledged.
Role of Technology in Preventing and Detecting Identity Theft:
Technology plays a crucial role in preventing and detecting identity theft. Digital identity verification tools are essential resources for preventing identity theft because they are used to verify an individual’s identity before any transactions, including opening accounts or applying for loans or credit cards. One example of such a tool is biometrics, including fingerprint, facial recognition, and iris scans. Biometrics are personal physical features that are unique to an individual, making them a useful tool in identifying people, and that helps to reduce the likelihood of fraud.
Another useful technology in this area is the artificial intelligence (AI) algorithm. The AI algorithm is effective in detecting and predicting identity theft in real-time. Algorithms can check for patterns, behaviours or activities that may indicate fraudulent activity. This enables businesses to quickly investigate any suspicious activity, make prompt decisions, and prevent losses from identity theft.
The legal and ethical considerations surrounding the use of technology:
While there is no denying the importance of technology in preventing and detecting identity theft, there are legal and ethical concerns surrounding its use. Chief among them is the right to privacy. Collecting, storing and analysing an individual’s personal data may well be necessary to prevent identity theft, but there is the risk of breaching the individual’s right to privacy, among other rights.
Due to this risk, countries, including the European Union and the United States, have enacted laws that regulate the use of personal data, such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). These laws put restrictions on how businesses and other entities collect and use personal data. The laws limit the use of personal data to only specific purposes, and organisations must request and obtain the individual’s consent before collecting or processing personal data.
Another ethical concern is the potential for bias in AI algorithms. Many algorithms are trained and developed with data from a biased group of people, which may produce unfair results when used in the real world. This is a concern because this bias may lead to incorrect decisions and unjust outcomes.
Technology plays a crucial role in both preventing and detecting identity theft. Digital verification of identity, the use of biometrics and AI algorithms represent innovative solutions that can help combat this crime. While there may be legal and ethical considerations to keep in mind, such as privacy rights and bias, they do not negate how important it is to use these tools to reduce the incidence of this crime in today’s world. It is essential that these considerations are taken seriously to ensure the right balance of technology’s use and legal and ethical measures within identity theft prevention and detection efforts can be achieved.