The impact of artificial intelligence on research efficiency
Artificial intelligence (AI) is changing the research landscape through automation, data analysis, and better decision-making in various ways that are of immense help to researchers in conquering obstacles and accelerating their discoveries. From literature search to data analysis, to design experim...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-06-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025008205 |
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| author | Mitra Madanchian Hamed Taherdoost |
| author_facet | Mitra Madanchian Hamed Taherdoost |
| author_sort | Mitra Madanchian |
| collection | DOAJ |
| description | Artificial intelligence (AI) is changing the research landscape through automation, data analysis, and better decision-making in various ways that are of immense help to researchers in conquering obstacles and accelerating their discoveries. From literature search to data analysis, to design experiments and manuscript writing, AI-powered tools using robotics, machine learning (ML), and natural language processing (NLP) go a long way in facilitating easy research. Technology enhances efficiency by summarizing articles, recommending publications, and pointing researchers in the right path. However, challenges such as bias in algorithms, concerns about data privacy, and deficiencies in the infrastructure impede wide-scale application. Training and supporting policies are needed for skill shortages and to surmount resistance to change in order for full utilization of AI in research. The present review has sought to explore how AI has influenced the efficiency of research through an analysis of its uses, advantages, disadvantages, and consequences across many fields. By examining the current tools and making projections on future trends, this study aims at educating academics, policymakers, and institutions on how AI might influence research in a fair and sustainable way. |
| format | Article |
| id | doaj-art-b1889eb3d1cb42bcb42e6aef489bbab5 |
| institution | DOAJ |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-b1889eb3d1cb42bcb42e6aef489bbab52025-08-20T03:18:54ZengElsevierResults in Engineering2590-12302025-06-012610474310.1016/j.rineng.2025.104743The impact of artificial intelligence on research efficiencyMitra Madanchian0Hamed Taherdoost1Department of Arts, Communications, and Social Sciences, School of Arts, Science and Technology, University Canada West, Vancouver, CanadaDepartment of Arts, Communications, and Social Sciences, School of Arts, Science and Technology, University Canada West, Vancouver, Canada; GUS Institute | Global University Systems, London, United Kingdom; Corresponding author.Artificial intelligence (AI) is changing the research landscape through automation, data analysis, and better decision-making in various ways that are of immense help to researchers in conquering obstacles and accelerating their discoveries. From literature search to data analysis, to design experiments and manuscript writing, AI-powered tools using robotics, machine learning (ML), and natural language processing (NLP) go a long way in facilitating easy research. Technology enhances efficiency by summarizing articles, recommending publications, and pointing researchers in the right path. However, challenges such as bias in algorithms, concerns about data privacy, and deficiencies in the infrastructure impede wide-scale application. Training and supporting policies are needed for skill shortages and to surmount resistance to change in order for full utilization of AI in research. The present review has sought to explore how AI has influenced the efficiency of research through an analysis of its uses, advantages, disadvantages, and consequences across many fields. By examining the current tools and making projections on future trends, this study aims at educating academics, policymakers, and institutions on how AI might influence research in a fair and sustainable way.http://www.sciencedirect.com/science/article/pii/S2590123025008205Machine learningResearchLiterature discoveryData analysisWriting assistanceCollaboration tools |
| spellingShingle | Mitra Madanchian Hamed Taherdoost The impact of artificial intelligence on research efficiency Results in Engineering Machine learning Research Literature discovery Data analysis Writing assistance Collaboration tools |
| title | The impact of artificial intelligence on research efficiency |
| title_full | The impact of artificial intelligence on research efficiency |
| title_fullStr | The impact of artificial intelligence on research efficiency |
| title_full_unstemmed | The impact of artificial intelligence on research efficiency |
| title_short | The impact of artificial intelligence on research efficiency |
| title_sort | impact of artificial intelligence on research efficiency |
| topic | Machine learning Research Literature discovery Data analysis Writing assistance Collaboration tools |
| url | http://www.sciencedirect.com/science/article/pii/S2590123025008205 |
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