Data and content in a future of biometric and artificial intelligence
Nowadays, personal and behavioral data have become highly valuable online inputs. There is an increasing capacity for data analysis, so companies in different areas try to collect more data differently. A lot of user information is protected, such as emails, passwords, etc. However, there is data that is public, such as publications or preferences, which implies the risk of revealing sensitive information.
Companies like Google or Facebook use the activity we leave online as valuable input and to personalize their recommendation and advertising algorithms. The US government has even tried to sue Facebook for purchasing its rivals since, in this way, it harms competitors and users who would be losing control over their information.
Generative AIs represent a new challenge regarding data use and collection. For example, in the case of image-generating AI, Lensa AI generates images based on other photos used as input. This creates complications when defining the owner of these productions, especially when the terms and conditions of this application are suspiciously broad.
Startups seek new ways to capture data, including directly compensating users. An example is the Worldcoin cryptocurrency, which rewards users for verifying their identity with iris scanning. Users receive Worldcoin tokens, joining a base of over 2.3 million people. Although Worldcoin is presented as a universal basic income initiative, the collection of biometric data gives it a significant advantage in this current trend.
Biometrics is an example of valuable data, and it represents a form of identification by recording the geography of the iris or fingerprints. There are biometric authentication initiatives that allow the unique physiological data of each individual to be used as very high-precision identifiers that differ from traditional authentication methods that can be stolen or forgotten.
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