AI evidence extraction

The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool

David B. Resnik, Mohammad Hosseini · AI and Ethics · 2024

AI-generated evidence extraction, verified across multiple analytical personas. Not a substitute for the peer-reviewed original.

9/10

Relevance

1/4

Quality (LMQS)

Evidence

144

Citations

14.53

FWCI

Top 10%

Impact

This is an AI analysis. Read the peer-reviewed original at the publisher: https://doi.org/10.1007/s43681-024-00493-8

Methodology & findings

Study design

Narrative review with expert recommendations; the authors examine ethical issues raised by AI use in research and develop guidance through analysis rather than empirical study.

Main result

The paper identifies that "Using artificial intelligence (AI) in research offers many important benefits for science and society but also creates novel and complex ethical issues" and provides guidance that "these ethical issues do not necessitate changing established ethical norms of science, they require the scientific community to develop new guidance for the appropriate use of AI."

Research paradigm

normative/prescriptive ethical analysis

Author conclusions

The authors conclude that the scientific community needs to "develop new guidance for the appropriate use of AI" and offer nine specific recommendations, including that "Researchers are responsible for identifying, describing, reducing, and controlling AI-related biases and random errors" and that "Researchers should disclose, describe, and explain their use of AI in research, including its limitations, in language that can be understood by non-experts."

Open questions raised

The paper identifies a gap in existing guidance: the scientific community lacks specific ethical guidance for responsible use of AI in research despite the novel and complex ethical issues it raises.
The paper identifies the need for new ethical guidance specific to AI use in research, suggesting that existing ethical norms are insufficient for addressing novel AI-related ethical issues.

Data: not_statedCode: not_statedExtracted from: pdfAgreement 80%

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