What does it mean in everyday language?

An automated recommendation can receive more weight than it deserves. Someone may follow an incorrect suggestion or miss a problem because the system did not flag it.

An example

Hypothetical example: an editor publishes a generated summary without checking the original report, overlooking a contradiction visible in the source.

A more precise definition

Automation bias is a pattern of decision errors associated with reliance on automated aids. It can include commission errors, when incorrect advice is followed, and omission errors, when a needed action is missed.

Key features

  • Concerns decisions made with automated assistance
  • Can involve following bad advice or missing unflagged problems
  • Depends on the person, task, and system

Where the definition stops

Using automation is not itself a bias. Reliance can be appropriate when it reflects a system's demonstrated capabilities and the consequences of error.

How it relates to synthetic imprinting

This concept helps examine why someone might accept synthetic output. It concerns decision behavior; a claim about lasting changes in belief or memory requires additional measurement.

Research context

Parasuraman and Manzey review automation-related errors and the role of attention. Their account extends beyond AI and cautions against treating expertise or simple warnings as complete protection.

Sources and further reading

  1. Complacency and Bias in Human Use of Automation: An Attentional Integration — Raja Parasuraman, Dietrich H. Manzey (2010). Human Factors: The Journal of the Human Factors and Ergonomics Society.

Cite this definition

APA: SyntheticImprinting.com. (2026). Automation Bias. https://syntheticimprinting.com/terms/automation-bias/

MLA: “Automation Bias.” SyntheticImprinting.com, 2026, https://syntheticimprinting.com/terms/automation-bias/. Accessed September 26, 2026.

Chicago: SyntheticImprinting.com. “Automation Bias.” Last modified 2026-09-24. https://syntheticimprinting.com/terms/automation-bias/.

What the status means

Established Concept

A concept used in academic or professional literature. This label does not mean every claim about it is settled.

How evidence labels work

See something to improve? Suggest a correction.