"Privacy and compliance risks are significant, especially in Europe under GDPR and labor laws, where capturing keystrokes and screen activity may be restricted or require explicit consent. Security risks increase because training datasets may contain credentials, IP, and sensitive workflows, making them high-value attack targets."
"These risks stack. They interact. They reinforce each other. Data gathered for AI training could also be repurposed over time for productivity monitoring or other employment-related decisions."
"Governance could become more difficult because companies may struggle to trace what AI systems learned from specific employees. Employee awareness of monitoring could also affect the quality of the data itself."
"People do not behave the same way when they know they are being observed. Over time, that could mean systems are trained not on how work naturally happens, but on behavior shaped by observation."
Privacy and compliance risks are heightened in Europe due to GDPR and labor laws, particularly concerning keystroke and screen activity monitoring. Security risks are amplified as training datasets may include sensitive information, making them attractive targets for attacks. These risks are interconnected and can reinforce one another. Data collected for AI training may later be used for productivity monitoring or employment decisions. Employee awareness of monitoring can alter behavior, leading to data that does not accurately reflect natural work patterns.
Read at Computerworld
Unable to calculate read time
Collection
[
|
...
]