The Impact of Artificial Intelligence in Science

Oliveira, Arlindo

Publicação

The Impact of Artificial Intelligence in Science

2025-12-05Texto

datacite.subject.fos	Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
dc.contributor.author	Oliveira, Arlindo
dc.contributor.editor	Academia das Ciências de Lisboa
dc.date.accessioned	2025-12-05T15:09:25Z
dc.date.available	2025-12-05T15:09:25Z
dc.date.issued	2025-12-05
dc.description.abstract	Generative artificial intelligence has significantly impacted scientific research by enabling new methods for data analysis, hypothesis generation, and experimental design. These technologies have accelerated discoveries in fields such as drug development, materials science, and climate modeling by automating the generation of novel solutions and simulations. By enhancing data-driven insights, generative AI has also improved the accuracy and efficiency of predictive models, opening new avenues for interdisciplinary research. However, the use of artificial intelligence raises ethical concerns regarding data integrity, reproducibility, fake results, and the potential for bias, highlighting the need for responsible and transparent implementation in scientific processes and workflows. This article addresses several of these issues, using as the starting point the SAPEA evidence review report on the successful and timely uptake of artificial intelligence in science.	eng
dc.identifier.uri	http://hdl.handle.net/10400.26/60272
dc.language.iso	eng
dc.peerreviewed	no
dc.rights.uri	N/A
dc.title	The Impact of Artificial Intelligence in Science	por
dc.type	text
dspace.entity.type	Publication
oaire.citation.startPage	13
oaire.version	http://purl.org/coar/version/c_970fb48d4fbd8a85