Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences
Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences
Artificial intelligence (AI) has recently seen transformative breakthroughs in the life sciences, expanding possibilities for researchers to interpret biological information at an unprecedented capacity, with novel applications and advances being made almost daily. In order to maximise return on the growing investments in AI-based life science research and accelerate this progress, it has become urgent to address the exacerbation of long-standing research challenges arising from the rapid adoption of AI methods. We review the increased erosion of trust in AI research outputs, driven by the issues of poor reusability and reproducibility, and highlight their consequent impact on environmental sustainability. Furthermore, we discuss the fragmented components of the AI ecosystem and lack of guiding pathways to best support Open and Sustainable AI (OSAI) model development. In response, this perspective introduces a practical set of OSAI recommendations directly mapped to over 300 components of the AI ecosystem. Our work connects researchers with relevant AI resources, facilitating the implementation of sustainable, reusable and transparent AI. Built upon life science community consensus and aligned to existing efforts, the outputs of this perspective are designed to aid the future development of policy and structured pathways for guiding AI implementation.
Gavin Farrell、Eleni Adamidi、Rafael Andrade Buono、Mihail Anton、Omar Abdelghani Attafi、Salvador Capella Gutierrez、Emidio Capriotti、Leyla Jael Castro、Davide Cirillo、Lisa Crossman、Christophe Dessimoz、Alexandros Dimopoulos、Raul Fernandez-Diaz、Styliani-Christina Fragkouli、Carole Goble、Wei Gu、John M. Hancock、Alireza Khanteymoori、Tom Lenaerts、Fabio G. Liberante、Peter Maccallum、Alexander Miguel Monzon、Magnus Palmblad、Lucy Poveda、Ovidiu Radulescu、Denis C. Shields、Shoaib Sufi、Thanasis Vergoulis、Fotis Psomopoulos、Silvio C. E. Tosatto
Department of Biomedical Sciences, University of Padova, Padova, ItalyAthena Research and Innovation Center, Marousi, GreeceVIB.AI Center for AI and Computational Biology, Ghent, BelgiumELIXIR Europe Hub, EMBL-EBI, Hinxton, United KingdomDepartment of Biomedical Sciences, University of Padova, Padova, ItalyBarcelona Supercomputing CenterDepartment of Pharmacy and Biotechnology, University of Bologna, Bologna, Italy and Computational Genomics Platform, IRCCS University Hospital of Bologna, Bologna, ItalyZB MED Information Centre for Life Sciences, Cologne, GermanyBarcelona Supercomputing CenterSequenceAnalysis.co.uk, United Kingdom and University of East Anglia, Norwich, United KingdomDepartment of Computational Biology, University of Lausanne, Lausanne, Switzerland and Swiss Institute of Bioinformatics, Lausanne, SwitzerlandInstitute for Fundamental Biomedical Science, Biomedical Sciences Research Center Alexander Fleming, Vari, Greece and Department of Informatics & Telematics, School of Digital Technology, Harokopio University, Athens, GreeceSchool of Medicine, University College Dublin, Dublin, Ireland and Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland and IBM Research Dublin, Dublin, IrelandInstitute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, Greece and Department of Biology, National & Kapodistrian University of Athens, Athens, GreeceDepartment of Computer Science, University of Manchester, Manchester, United KingdomLuxembourg National Data Service, Esch-sur-Alzette, LuxembourgInstitute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Ljubljana, SloveniaDepartment of Psychology, University of Freiburg, Freiburg, GermanyMachine Learning Group, Universite Libre de Bruxelles, Brussels, Belgium and Artificial Intelligence Lab, Vrije Universiteit Brussel, Brussels, Belgium and Interuniversity Institute of Bioinformatics in Brussels, ULB-VUB, Brussels, Belgium and FARI, AI for the common good institute, ULB-VUB, Brussels, Belgium and Center for Human-Compatible AI, UC Berkeley, Berkeley, CA, USAELIXIR Europe Hub, EMBL-EBI, Hinxton, United KingdomELIXIR Europe Hub, EMBL-EBI, Hinxton, United KingdomDepartment of Biomedical Sciences, University of Padova, Padova, ItalyLeiden University Medical Center, Leiden, NetherlandsSwiss Institute of Bioinformatics, Lausanne, SwitzerlandLPHI, University of Montpellier, CNRS, INSERM, Montpellier, FranceSchool of Medicine, University College Dublin, Dublin, Ireland and Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, IrelandDepartment of Computer Science, University of Manchester, Manchester, United KingdomAthena Research and Innovation Center, Marousi, GreeceInstitute of Applied Biosciences, Centre for Research and Technology Hellas, Thessaloniki, GreeceDepartment of Biomedical Sciences, University of Padova, Padova, Italy and Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies, National Research Council
生物科学现状、生物科学发展计算技术、计算机技术
Gavin Farrell,Eleni Adamidi,Rafael Andrade Buono,Mihail Anton,Omar Abdelghani Attafi,Salvador Capella Gutierrez,Emidio Capriotti,Leyla Jael Castro,Davide Cirillo,Lisa Crossman,Christophe Dessimoz,Alexandros Dimopoulos,Raul Fernandez-Diaz,Styliani-Christina Fragkouli,Carole Goble,Wei Gu,John M. Hancock,Alireza Khanteymoori,Tom Lenaerts,Fabio G. Liberante,Peter Maccallum,Alexander Miguel Monzon,Magnus Palmblad,Lucy Poveda,Ovidiu Radulescu,Denis C. Shields,Shoaib Sufi,Thanasis Vergoulis,Fotis Psomopoulos,Silvio C. E. Tosatto.Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences[EB/OL].(2025-05-22)[2025-06-30].https://arxiv.org/abs/2505.16619.点此复制
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