Automation bias

As explained in The Art of AI Product Development

Automation bias is the tendency to favor or accept automated outputs without sufficient independent verification.

A user accepts an AI-generated report as correct and makes a harmful decision. That is automation bias: overreliance on an automated output instead of staying alert to possible mistakes. It sits opposite algorithmic aversion, where users distrust AI enough to avoid it altogether. section 10.2.2

Design for calibrated trust rather than either extreme:

• State relevant limitations, such as when a report generator supports European markets but not other regions. section 10.2.2
• Use alerts tied to a user’s input when a decision warrants a pause and closer scrutiny. section 10.2.2

Figure 10.19 On the trust continuum, aim for calibrated trust.

The trust continuum places automation bias beyond the desired middle ground of calibrated trust. section 10.2.2

How The Art of AI Product Development covers it

How deep it goes

Defines the behavior and gives design responses, without analyzing its psychological mechanisms.

Examples

Uses conversational disclaimers and a report generator limited to European markets as examples of caveats.

What you can do after

Apply it via UX caveats and contextual alerts that encourage users to verify doubtful outputs.

How it connects

Connects automation bias to calibrated trust, algorithmic aversion, confirmation bias, and AI caveats.

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Also explained in

• 

  liveBookmanning.com
  How Large Language Models WorkAutomation bias is the tendency to over-rely on automated recommendations or decisions instead of independently evaluating them.

Compare how 2 books explain automation bias →

Related concepts

• AI Actaddressed by · The AI Act is a European Union regulation establishing harmonised, risk-based requirements for the development, placing on the market, and use of artificial intelligence systems.
• human-in-the-loopproduced by · Human-in-the-loop is a pattern in which people provide judgment, guidance, review, or intervention within an automated process or system.
• cognitive forcing functionaddressed by · A cognitive forcing function is an intentional interaction disruption that prompts a person to critically evaluate an automated output before accepting it.
• testuses · A test is a procedure or check that evaluates behavior using specified inputs or evidence against expected results or criteria.
• confidenceaddressed by · Confidence is a degree of certainty or assurance associated with a judgment, estimate, prediction, capability, or statistical procedure, often expressed as a score, probability, or coverage level.

This explainer was generated by Manning's knowledge graph from the text of The Art of AI Product Development. The section links point to the parts of the book it draws on.