ChatGPT and other large language model AI implementation has sharpened the need for more data to train algorithms. As a result, large technology companies are tapping more sources of rich data about individuals.
The US is one of a few advanced economies without a comprehensive federal data privacy law. Many state and industry-specific regulations were written vaguely to address reasonable security measures. Individuals and organizations need to first understand where data exists across their complex corporate structures and vendor networks.
Our cellphones are advanced computing devices and a primary source for this valuable personal data. Applications on our phones collect more information than most people suspect. Research shows almost no one reads privacy policies, and those who do often don’t understand all the ways their data is being used and shared.
Large organizations have a similar problem. Their operations and people produce a tremendous amount of data, which may be stored on centralized servers and employee-owned devices, with cloud service providers, or with vendors such as payroll processing companies.
Companies are obligated to provide reasonable security over their operations and the personal data they store. This problem of understanding where data is stored is creating more risk over time.
Legislation and regulation have...
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