AI & Science

Europe’s AI autonomy depends on reliable access to critical capabilities Investment commitments must become operational infrastructure Scientific talent needs institutions that retain and develop its work The question of Eur

Declaring AI use does not demonstrate understanding of the resulting research Training should develop verification, methodological judgment and reproducibility Institutions and researchers share responsibility for competent AI-assisted work

Correctness, reproducibility and significance require different judgments Mathematical proof offers lessons without making any discipline immune to error Publishing standards should connect every important claim to an inspectable basis S

Retractions reveal problems and the willingness to address them Journal evaluation should examine patterns, response times and editorial failures Transparent correction protects readers while supporting responsible publishers A ret

Automated search can produce discoveries when candidates meet explicit checks Scientific validity extends beyond benchmark scores and manuscript acceptance External verification must connect generated claims to evidence and context <

AI-assisted writing makes manuscript volume a less informative measure of contribution Writing assistance, research quality and misconduct are different questions Evaluation should combine substantive review with transparent, contextual indicators

Europe's research strengths coexist with limited access to AI infrastructure Compute capacity and the skills to use it must develop together Shared facilities should be assessed by the scientific opportunities they create <

Dependence on external AI services can constrain scientific control Autonomy requires usable infrastructure, continuity and independent evaluation Research talent needs sustained access to tools and opportunities Sc

High performance inside a tutoring system may conceal weak transfer outside it Scientific reasoning depends on exceptions, source quality and changes of representation AI tutoring should be evaluated as an epistemic instrument, not only an instructional product