Detailed answer
Key answer: LERA can preserve the distinction between human agency and machine agency by preventing machine-generated inference, recommendation, or optimization from being treated as equivalent to legitimate human intention and authority.
Core explanation
LERA can preserve the distinction between human agency and machine agency by preventing machine-generated inference, recommendation, or optimization from being treated as equivalent to legitimate human intention and authority.
As AI systems become more deeply integrated into human life, the boundary between human action and machine action may become increasingly difficult to identify.
An AI may:
- predict what a person wants;
- speak in the person’s name;
- manage the person’s finances;
- control connected devices;
- represent the person in digital environments;
- interpret neural or biometric signals;
- make institutional decisions affecting the person;
- complete actions before the person becomes aware of them.
If these actions are treated automatically as the person’s own decisions, then human agency becomes blurred.
The system may say that the AI acted “for” the person, even when the person did not form the judgment, understand the consequence, or authorize the specific execution.
LERA protects this distinction by separating:
- human intention;
- machine inference;
- machine-generated proposal;
- human or institutional judgment;
- legitimate authorization;
- execution.
This is especially important in brain–computer interfaces, autonomous personal Agents, healthcare systems, digital identity systems, and AI-mediated communication.
For example, an AI may infer from a person’s past behavior that the person would accept a financial transaction.
Even if the prediction is accurate, the inference is not identical to consent.
The AI may prepare the transaction, but it should not silently acquire the authority to execute it.
LERA ensures that machine agency remains identifiable as machine agency.
It does not allow an AI-generated action to borrow human legitimacy merely because the machine is assisting a human.
This protects both the individual and the institution.
The individual remains able to distinguish:
what I intended
from
what the AI inferred or proposed.
The institution remains able to distinguish:
who generated the action
from
who legitimately authorized it.
This separation is essential for responsibility.
If machine action and human intention become indistinguishable, responsibility may disappear into the system.
LERA preserves the person as a governing subject by ensuring that machine capability does not automatically replace human judgment at the execution boundary.