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Искусственный интеллект в ландшафте НИОКР
Аннотация
Проведен анализ факторов, оказывающих первостепенное влияние на внедрение
ИИ в ландшафт НИОКР, в целях сокращения периода исследований, повышения их
производительности, снижения затрат и создания конкурентоспособного продукта.
Представлен сравнительный анализ характеристик некоторых ИИ-моделей,
отражающий отраслевую специализацию и доказанную практическую
эффективность в НИОКР.
Об авторах
С. МихневичБеларусь
Сергей Михневич, доктор экономических наук
В. Жукова
Академия управления при Президенте Республики Беларусь
Беларусь
Беларусь
Владислава Жукова, аспирант Института управленческих кадров
Список литературы
1. PwC’s Global Artificial Intelligence Study: Exploiting the AI Revolution // https://www.pwc.com/gx/en/issues/artificial-intelligence/publications/artificialintelligence-study.html#:~:text=Total%20economic%20impact%20of%20AI%20in%20the%20period%20to%202030&text=AI%20could%20contribute%20up%20to,come%20from%20consumption%2Dside%20effects.
2. Generative AI could raise global GDP by 7% // https://www.goldmansachs.com/insights/articles/generative-ai-could-raise-global-gdp-by-7-percent.
3. The economic potential of generative AI: The next productivity frontier // https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/the-economicpotential-of-generative-ai-the-next-productivity-frontier#key-insights.
4. Artificial Intelligence (AI) Market Size, Share, and Trends 2025 to 2034 // https://www.precedenceresearch.com/artificial-intelligence-market.
5. Artificial Intelligence in Healthcare Market Size, Share and Trends 2025 to 2034 // https://www.precedenceresearch.com/artificial-intelligence-in-healthcare-market.
6. The 2025 AI Index Report // https://hai.stanford.edu/ai-index/2025-ai-index-report.
7. Scientific AI: Unlocking the next frontier of R&D productivity // https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/tech-forward/scientificai-unlocking-the-next-frontier-of-r-and-d-productivity.
8. The advancement of artificial intelligence in biomedical research and health innovation: challenges and opportunities in emerging economies // https://globalizationandhealth.biomedcentral.com/articles/10.1186/s12992-024-01049-5.
9. Realizing Transformative Value from AI & Generative AI in Life Sciences // https://www2.deloitte.com/content/dam/Deloitte/us/Documents/us-realizingtransformative-value-from-AI-GenAI-in-life-sciences-032124.pdf.
10. Optimizing financial success: The synergistic impact of artificial intelligence and R&D investments in U.S. firms // https://www.researchsquare.com/article/rs5911014/v1.
11. Artificial Intelligence (AI) for Sustainable Resource Management and Chemical Processes // https://pubs.acs.org/doi/10.1021/acssuschemeng.4c01004.
12. Advancing sustainability: Biodegradable electronics and materials discovery through artificial intelligence // https://www.researchgate.net/publication/381986722_Advancing_sustainability_Biodegradable_electronics_and_materials_discovery_through_artificial_intelligence.
13. Technology and Innovation Repor t: Inclusive Ar tificial Intelligence for Development // https://unc tad.org/system/files/official-document/tir2025overview_en.pdf.
14. FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare // https://www.bmj.com/content/388/bmj-2024-081554.
15. Why agents are the next frontier of generative AI // https://www.mckinsey.com/capabilities/mckinsey-digital/our-insights/why-agents-are-the-next-frontier-ofgenerative-ai
16. Exploring AI-driven Innovation in Public Sector R&D Organizations // http://apjcriweb.org/content/vol10no7/7.pdf.
Рецензия
Для цитирования:
Михневич С., Жукова В. Искусственный интеллект в ландшафте НИОКР. Наука и инновации. 2025;(7):11-16.
For citation:
Mikhnevich S., Zhukova V. Artificial intelligence in the R&D landscape. Science and Innovations. 2025;(7):11-16. (In Russ.)
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