inherent bias

Meaning

This term refers to a permanent, inseparable, or natural prejudice or leaning within a system, person, dataset, or method. In academic research, statistics, and AI development, it describes a systematic flaw or prejudice that is built into the design or structure, making objective results difficult to achieve.

Examples

• The researcher acknowledged the inherent bias in the survey design, which favored younger participants.

  The researcher acknowledged the inherent bias in the survey design, which favored younger participants.

• Algorithms trained on historical data often reflect the inherent bias of their creators.

  Algorithms trained on historical data often reflect the inherent bias of their creators.

• To ensure objective results, scientists must minimize any inherent bias in their experimental setup.

  To ensure objective results, scientists must minimize any inherent bias in their experimental setup.

• The study was criticized because of the inherent bias in selecting only local participants.

  The study was criticized because of the inherent bias in selecting only local participants.

• Media outlets must work hard to overcome their inherent bias when reporting on political events.

  Media outlets must work hard to overcome their inherent bias when reporting on political events.

Common Mistakes

• ✗ The results have an inhering bias.

  ✓ The results have an inherent bias.

  Inherent is the correct adjective form. Inhering is a rare participle form of the verb 'inhere' and is not used in this collocation.

• ✗ There is an inherent biased in the system.

  ✓ There is an inherent bias in the system.

  Bias is the noun. Biased is an adjective. After the adjective 'inherent,' you must use the noun 'bias'.

Related Expressions

Practice

• Because the sample size was so small, the study suffered from an ___ toward positive outcomes.

  💡 A built-in, natural prejudice or error.

  Show answer

  inherent bias

• Machine learning models can easily replicate the ___ found in human-made datasets.

  💡 Systemic and inseparable prejudice.

  Show answer

  inherent bias