The use of artificial intelligence in scientific research with integrity and ethics

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The integration of artificial intelligence in research raises concerns about bias and transparency.
Robust ethical governance frameworks are needed to ensure accountability and integrity in AI-driven discoveries.
The findings emphasize the importance of collaboration among researchers, institutions, and policymakers.
Ethics and integrity are crucial for balancing AI benefits with societal responsibilities and human well-being.

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Conceptual analysis addresses ethical governance and bias in artificial intelligence usage, highlighting accountability in research.

Ricardo Limongi (2025) studied this question.

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