Automation bias
Otomasyon yanlılığı
D6
Automation bias is over-reliance on automated cues or recommendations that can contribute to omission or commission errors.
Review status: 2027-02-24
Technical explanation
It can affect how people notice, interpret, check, or act on automated output in a decision process.
Conceptual boundaries
Automation bias is not proof that all reliance is irrational or solely an individual-user defect.
Provider-neutral example
A reviewer can accept an automated risk flag without checking the underlying record, or fail to investigate a case because the system did not flag it.
Limitations
The cited studies concern simulated-flight tasks with student and pilot samples and do not establish prevalence or a single cause across all people, tasks, or organizations.
Related concepts
Atomic claims and evidence
1.1Parasuraman and Riley, Humans and Automation: Use, Misuse, Disuse, Abuse
- Source
- Parasuraman and Riley, Humans and Automation: Use, Misuse, Disuse, Abuse
- Source role
- Authoritative source
- Exact locator
- Abstract and pp. 231-234
- Supported claim
- Parasuraman and Riley distinguish use, misuse, disuse, and abuse of automation and analyze automation-related errors in human use of automated systems.
- Last verification
- Review due
- Scope limitation
- This foundational human-factors analysis is not a diagnosis of an individual or a claim that every automated recommendation produces bias.
1.2Regulation (EU) 2024/1689 (Artificial Intelligence Act), consolidated text of 27 July 2026 — D6 human-role slice
- Source
- Regulation (EU) 2024/1689 (Artificial Intelligence Act), consolidated text of 27 July 2026 — D6 human-role slice
- Source role
- Authoritative source
- Exact locator
- Article 14(4)(b), current consolidated text of 27 July 2026
- Supported claim
- Parasuraman and Riley distinguish use, misuse, disuse, and abuse of automation and analyze automation-related errors in human use of automated systems.
- Last verification
- Review due
- Scope limitation
- This foundational human-factors analysis is not a diagnosis of an individual or a claim that every automated recommendation produces bias.
2.1Regulation (EU) 2024/1689 (Artificial Intelligence Act), consolidated text of 27 July 2026 — D6 human-role slice
- Source
- Regulation (EU) 2024/1689 (Artificial Intelligence Act), consolidated text of 27 July 2026 — D6 human-role slice
- Source role
- Authoritative source
- Exact locator
- Article 14(4)(b), current consolidated text of 27 July 2026
- Supported claim
- The EU AI Act requires assigned overseers of high-risk systems in scope to remain aware of possible automatic reliance or over-reliance, particularly where the system provides information or recommendations for human decisions.
- Last verification
- Review due
- Scope limitation
- This is an instrument-specific oversight obligation; it does not establish the prevalence or cause of reliance in every workplace.
2.2Parasuraman and Riley, Humans and Automation: Use, Misuse, Disuse, Abuse
- Source
- Parasuraman and Riley, Humans and Automation: Use, Misuse, Disuse, Abuse
- Source role
- Authoritative source
- Exact locator
- pp. 231-234
- Supported claim
- The EU AI Act requires assigned overseers of high-risk systems in scope to remain aware of possible automatic reliance or over-reliance, particularly where the system provides information or recommendations for human decisions.
- Last verification
- Review due
- Scope limitation
- This is an instrument-specific oversight obligation; it does not establish the prevalence or cause of reliance in every workplace.
3.1Mosier et al., Automation Bias, Accountability, and Verification Behaviors
- Source
- Mosier et al., Automation Bias, Accountability, and Verification Behaviors
- Source role
- Authoritative source
- Exact locator
- Abstract; pp. 204-208
- Supported claim
- Mosier and colleagues define commission errors as inappropriate action from over-attending to automated information or directives and omission errors as failing to take appropriate action because automated aids do not inform a decision maker of an imminent problem or situation.
- Last verification
- Review due
- Scope limitation
- The article reports two simulated-flight studies with student and commercial-pilot samples; it does not establish prevalence or one cause in every AI-supported decision setting.
3.2Parasuraman and Riley, Humans and Automation: Use, Misuse, Disuse, Abuse
- Source
- Parasuraman and Riley, Humans and Automation: Use, Misuse, Disuse, Abuse
- Source role
- Authoritative source
- Exact locator
- Abstract and pp. 231-234
- Supported claim
- Mosier and colleagues define commission errors as inappropriate action from over-attending to automated information or directives and omission errors as failing to take appropriate action because automated aids do not inform a decision maker of an imminent problem or situation.
- Last verification
- Review due
- Scope limitation
- The article reports two simulated-flight studies with student and commercial-pilot samples; it does not establish prevalence or one cause in every AI-supported decision setting.