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| 008 | 250227s2025 fr |||||s|||| 00| 0 eng d | ||
| 040 | _cES-MaBCM | ||
| 100 | 1 |
_aCastle, David _9130357 |
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| 245 | 1 | 0 |
_aPreparing National Research Ecosystems for AI _cDavid Castle, Vanessa McBride, Dureen Samandar Eweis _h[Recurso electrónico] |
| 250 | _a2ª ed. | ||
| 260 |
_aParis, France _b : The International Science Council _c , 2025 |
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| 300 | _a118 p. | ||
| 500 | _aThe first edition of the paper including the previous case studies updated in this version can be found on the same page: URL: https://council.science/publications/ai-science-systems | ||
| 504 | _aIncluye referencias bibliográficas. | ||
| 520 | _aThe dominant notion communicated today on the influence of artificial intelligence (AI) is its capacity to change everything across all sectors, including science (Khalif et al., 2023; Nature, 2023; Van Noorden and Perkel, 2023; Miller, 2024). Beyond the promises of new advances in different fields of research, a set of critical questions is emerging about the impact of AI on the documentation, funding and reporting of science: • How is the increasing use of AI going to influence research funding allocation? • What research data standards will evolve? How will AI change the nature of scientific outputs? • How will scientific careers evolve with the increasing use of AI in research? • What investments in infrastructures are required for the successful uptake of AI by the science sector? • What legal adjustments are needed to enable the use of AI in research while ensuring high standards in the responsible conduct of science? • How is AI going to affect international research collaborations? Discussions around these questions are critical for the future of science and research systems. Research institutions and ministries are beginning to tackle them, although with limited resources to guide them. As this study will show, there remains a notable absence of comprehensive literature regarding the impact of AI on the structural aspects of science and research. | ||
| 650 | 7 | _aInteligencia artificial | |
| 650 | 7 | _aInvestigación científica | |
| 650 | 0 | _aProgreso científico | |
| 700 | 1 |
_aMcBride, Vanessa _9130358 |
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| 700 | 1 |
_aEweis, Dureen Samandar _9130359 |
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| 856 |
_uhttps://mpr.koha.es/cgi-bin/koha/opac-retrieve-file.pl?id=6e81fe6e364af8dee1a85cfc632506ef _yDESCARGAR DOCUMENTO |
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