AI bias in research

Artificial Intelligence in Academia

The systematic errors or unfair preferences that can emerge when AI systems are used in research processes. Researchers must be aware of potential biases in training data, algorithms, and outputs when using AI tools.

Related Topics

Artificial Intelligence in Academia

AI tools, ethics, and integration in academic work

100%
high

Literature & Sources

Finding, evaluating, and using scholarly sources

85%
high

Research Integrity & Ethics

Ethical conduct, integrity, and responsible research practices

80%
high

Errors & Corrections

Mistakes, corrections, and research misconduct

79%
high

Related Terms

Research ethics
Algorithmic accountability
Plagiarism
AI plagiarism
Academic integrity
Attribution
Academic databases
Academic dishonesty
AI bias
Publication correction
Retraction
AI attribution

Showing 12 of 17 related terms

Enhancement Details

17
Total Relations
15
AI Enhanced
3
Methods

Enhanced with AI

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