Open and Sustainable AI: challenges, opportunities and the road ahead in the life sciences (October 2025 -- Version 2)
Abstrak
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.
Penulis (30)
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
Akses Cepat
- Tahun Terbit
- 2025
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓