Psychological Framework for AI in Natural Science Research, 2026

A 110.5 KB PDF authored by Xinyi Qi and published on figshare in April 2026. The document presents a perspective paper proposing a four-part psychological framework for understanding AI's role in natural science research. It addresses themes of labor visibility, identity stability, accountability, and institutional climate in the context of AI tools like large language models and autonomous laboratories.

Use Cases

• Analyzing psychological impacts of AI adoption based on the described framework of labor visibility and identity stability.
• Studying institutional climate for responsible AI in science based on the discussion of agency and interpretive responsibility.
• Investigating human-AI delegation and accountability in research settings based on the concepts of delegated cognition.
• Examining researcher attitudes and technostress related to AI tools like autonomous labs and LLMs mentioned in the description.

Strengths

• File size is precisely 110.5 KB, indicating a concise document.
• License is clearly specified as CC-BY-4.0, permitting reuse with attribution.
• Author and precise publication date (2026-04-16) are provided.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Xinyi Qi via figshare.

Collection Method

Likely an authored academic perspective paper.

Time Range

Publication date is 2026.

Freshness

Last updated 2026-04-16 05:25:26; freshness should be verified.

Geography

null