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Record STMT-W1BFFB0Advisory

Artificial intelligence in science - Promises or perils for creativity?

Report Institutional policyEuropean Unionadopted

This EU publication explores the impact of artificial intelligence on scientific creativity, examining its use across 80 fields from 2000 to 2022. It finds that AI adoption has surged since the early 2010s, with China leading in output, novelty, and impact compared to the US and EU. The study concludes that AI generally enhances scientific creativity, though effects vary significantly across different academic fields.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

European CommissionGovernment (executive)
Lead issuer
Legal forceAdvisory
Under whose authorityInstitutional policy
Judged fromfull text

Who it governs

Researchers and academicsGeneral publicNational governmentPublic sector bodies

Researchers, policymakers, and public sector bodies interested in the intersection of artificial intelligence and scientific research policy should read this.

Sectors
Research and science · scientific research

What the document contains

What's covered

The paper covers the impact of AI on scientific creativity across 80 fields from 2000 to 2022, analyzing regional disparities, publication outputs, and the moderating role of knowledge structures.

What's missing

Regulatory frameworks, binding enforcement mechanisms, and specific legal definitions of AI are not included in this research report.

Key takeaways
  • AI adoption has surged across nearly all of 80 examined scientific fields since the early 2010s.
  • China has taken the lead in AI-driven research, outpacing the US and the EU in output, novelty, and impact.
  • AI generally enhances scientific creativity, measured by novelty and impact, though effects vary by field.
  • Most fields benefit from AI, but some show little improvement and a few experience negative impacts.
  • AI's influence is moderated by the structural organisation of knowledge within fields, showing greater potential in fragmented knowledge spaces.
Issued7 April 2025
Length411 words
FormatNot recorded
Scopeglobal

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

0/5

Clear responsibility for AI outcomes

Publication metadata

screening score · 2026-10-23

Fairness

0/5

Non-discrimination and equitable treatment

Publication metadata

screening score · 2026-10-23

Human Dignity

0/5

Respect for the inherent worth of persons

Publication metadata

screening score · 2026-10-23

Human Oversight

0/5

Humans remain in control of consequential decisions

Publication metadata

screening score · 2026-10-23

Privacy

0/5

Protection of personal data and private life

Publication metadata

screening score · 2026-10-23

Transparency

0/5

Openness about how AI systems work and are used

Publication metadata

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

Publication metadata

screening score · 2026-10-23

Impact Assessment

0/5

Required assessment of an AI system's risks/impacts before or during use

Publication metadata

screening score · 2026-10-23

Topics

artificial_intelligence scientific_research research_policy knowledge_management regional_disparity