What if you install a brand new smart-home assistant that looks surreal, and if it can precool your living room at ease. However, besides the benefits, the system is secretly generating a huge digital trace of personal information?
That’s the hidden price of agentic AI, your every plan, act, and prompt gets registered, forecasts and logs hints of frequent routines reside info long-term storage.
These logs aren’t silly mistakes. They are standard behaviour for most agentic AI systems. Fortunately, there’s another way. Easy engineering methods build efficiency and autonomy while limiting the digital footprint.
How Agentic AI Stores and Collects Private Data
It uses a planner based on a LLM to optimize similiar devices via the house. It surveills electricity prices and weather details, configures thermostats, adjusting smart plugs, and schedules EV charge.
To limit personal data, the system registers only pseudonomymous resident profiles locally and doesn’t access microphones and cameras. Agentic AI updates its plan when the weather or prices change, and registers short, planned reflections to strengthen future runs.
However, you as a home resident may not be aware about how much private data is being stored behind your back. Agentic AI systems create information as a natural result of how they function. In baseline agent configurations (mostly), the data gets accumulated. However, this is not considered the best tactic in the busin
[…]
Content was cut in order to protect the source.Please visit the source for the rest of the article.
Read the original article: