Calderón SJV, Camacho CR

Language: Spanish
References: 10
Page: 65-69
PDF size: 302.25 Kb.

ABSTRACT

The amount of information generated, placed, circulating and consulted in cyberspace now a days is unimaginable; the case of scientific and technological knowledge is no exception. Artificial intelligence faces the challenge of compiling, organizing, summarizing, interrelating and even trying to predict a result based on the analysis of the information generated. The way in which we can deal with the oceans of information through artificial intelligence requires new approaches from researchers and from the preparation of students. However, it must be recognized that artificial intelligence has not yet reached the creativity, imagination and divergent thoughts that humans possess, which are essential characteristics for scientific activity. Will we be able to adapt at the necessary speed to match such a tool and face the challenges that its use presents?

REFERENCES

1. Wang, H., Fu, T., Du, Y., Gao, W., Huang, K., Liu,Z., Chandak, P., Liu, S., Van Katwyk, P., Deac, A.,Anandkumar, A., Bergen, K., Gomes, C., Ho, S.,Kohli, P., Lasenby, J., Leskovec, J., Liu, T., Manrai,A., Marks, D., Ramsundar, B., Song, L., Sun, J.,Tang, J., Velickovic, P., Welling, M., Zhang, L.,Coley, C., Bengio, Y., & Zitnik, M. (2023).Scientific discovery in the age of artificialintelligence. Nature, 620, 47-60.https://doi.org/10.1038/s41586-023-06221-2.

2. Bianchini, S., Müller, M., & Pelletier, P. (2022).Artificial intelligence in science: An emerginggeneral method of invention. Research Policy.https://doi.org/10.1016/j.respol.2022.104604.

3. Sourati, J., & Evans, J. (2023). Accelerating sciencewith human-aware artificial intelligence. NatureHuman Behaviour, 7, 1682 - 1696.https://doi.org/10.1038/s41562-023-01648-z.

4. Xu, Y., Wang, Q., An, Z., Wang, F., Zhang, L., Wu,Y., Dong, F., Qiu, C., Liu, X., Qiu, J., Hua, K., Su,W., Xu, H., Han, Y., Cao, X., Liu, E., Fu, C., Yin, Z.,Liu, M., Roepman, R., Dietmann, S., Virta, M.,Kengara, F., Huang, C., Zhang, Z., Zhang, L., Zhao,T., Dai, J., Yang, J., Lan, L., Luo, M., Huang, T., Liu,Z., Qian, S., An, T., Liu, X., Zhang, B., He, X.,Cong, S., Liu, X., Zhang, W., Wang, F., Lu, C., Cai,Z., Lewis, J., Tiedje, J., & Zhang, J. (2021).Artificial intelligence: A powerful paradigm forscientific research. The Innovation, 2.https://doi.org/10.1016/j.xinn.2021.100179.

5. Sak, J., & Suchodolska, M. (2021). ArtificialIntelligence in Nutrients Science Research: AReview. Nutrients, 13.https://doi.org/10.3390/nu13020322.

6. Salehi, H., & Burgueño, R. (2018). Emergingartificial intelligence methods in structuralengineering. Engineering Structures.https://doi.org/10.1016/J.ENGSTRUCT.2018.05.084.

7. Piccinotti, D., Macdonald, K., Gregory, S., Youngs,I., & Zheludev, N. (2020). Artificial intelligence forphotonics and photonic materials. Reports onProgress in Physics, 84.https://doi.org/10.1088/1361-6633/abb4c7.

8. Almasri, F. (2024). Exploring the Impact ofArtificial Intelligence in Teaching and Learning ofScience: A Systematic Review of EmpiricalResearch. Research in Science Education.https://doi.org/10.1007/s11165-024-10176-3.

9. Garg, P. (2021). Overview of Artificial Intelligence.Artificial Intelligence.https://doi.org/10.1201/9781003140351-2.

10. Rafael Camacho Carranza y José Víctor CalderónSalinas. Editorial. creatividad y patentes en méxico,un asunto pendiente. Revista de EducaciónBioquímica (REB) 44(1):3-9, 2025.