Avoiding basic mistakes when programming the use of artificial intelligence in soil and environmental science research

被引：4

作者：

Nunez-Delgado, Avelino ^{[1
]}

机构：

[1] Univ Santiago De Compostela, Engn Polytech Sch, Dept Soil Sci & Agr Chem, Campus Univ S-N, Lugo 27002, Spain

来源：

SCIENCE OF THE TOTAL ENVIRONMENT | 2024年 / 934卷

关键词：

Artificial intelligence; Programming investigation; Research proposals; Soil and environmental sciences;

D O I：

10.1016/j.scitotenv.2024.173310

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this discussion text (proposed as an opinionated exposition on a relevant scientific issue, with the aim of stimulating further discussion in a broader scientific forum) the author comments on mistakes that should be avoided when trying to use artificial intelligence (AI) in research, with special focus on soil science and environmental sciences. The author indicates aspects of research where it would not be reasonable (and/or correct) to use AI, while showing other aspects where an appropriate use of AI tools could be of real help for researchers in these fields and the whole society. The use of AI in investigation is a cutting-edge theme needing reflection and proposals to extract its best without causing an inappropriate deviation of resources, as well as a waste of time for people involved in direct research tasks or assessment, and without provoking undesirable side effects.

引用

页数：5

共 31 条

[1] How to use generative AI as a human resource management assistant [J].

Aguinis, Herman ;

Beltran, Jose R. ;

Cope, Amando .

ORGANIZATIONAL DYNAMICS, 2024, 53 (01)

[2] Perspectives on using cost-benefit analysis to set environmental targets - a compilation and discussion of arguments informed by the process leading to the 2016 EU air pollution emission targets [J].

Astrom, Stefan .

ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 2023, 98

[3] AI and machine learning for soil analysis: an assessment of sustainable agricultural practices [J].

Awais, Muhammad ;

Naqvi, Syed Muhammad Zaigham Abbas ;

Zhang, Hao ;

Li, Linze ;

Zhang, Wei ;

Awwad, Fuad A. ;

Ismail, Emad A. A. ;

Khan, M. Ijaz ;

Raghavan, Vijaya ;

Hu, Jiandong .

BIORESOURCES AND BIOPROCESSING, 2023, 10 (01)

[4]

Ayling J., 2022, AI Ethics, V2, P405, DOI [DOI 10.1007/S43681-021-00084-X, 10.1007/s43681-021-00084-x]

[5] Early soil knowledge and the birth and development of soil science [J].

Brevik, Eric C. ;

Hartemink, Alfred E. .

CATENA, 2010, 83 (01) :23-33

[6] Privacy-Preserving Deep Learning Model for Decentralized VANETs Using Fully Homomorphic Encryption and Blockchain [J].

Chen, Jianguo ;

Li, Kenli ;

Yu, Philip S. .

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 23 (08) :11633-11642

[7] A Domain Adaptive Density Clustering Algorithm for Data With Varying Density Distribution [J].

Chen, Jianguo ;

Yu, Philip S. .

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2021, 33 (06) :2310-2321

[8] On generating trustworthy counterfactual explanations [J].

Del Ser, Javier ;

Barredo-Arrieta, Alejandro ;

Diaz-Rodriguez, Natalia ;

Herrera, Francisco ;

Saranti, Anna ;

Holzinger, Andreas .

INFORMATION SCIENCES, 2024, 655

[9] Our Environment: Everything Is Natural on Earth, but ... Editorial Piece on Current and Future Soil and Environmental Research [J].

Delgado, Avelino Nunez .

PROCESSES, 2023, 11 (01)

[10] Threats by artificial intelligence to human health and human existence [J].

Federspiel, Frederik ;

Mitchell, Ruth ;

Asokan, Asha ;

Umana, Carlos ;

McCoy, David .

BMJ GLOBAL HEALTH, 2023, 8 (05)

← 1 2 3 4 →