Criteria for selecting artificial intelligence tools
Abstract
Artificial Intelligence (AI) represents a transformative force across numerous sectors, from healthcare and finance to automotive and public services. The selection and deployment of AI tools are critical to leveraging this technology’s potential while adhering to ethical standards, regulatory compliance, and ensuring societal benefit. The European Union (EU) has been at the forefront of establishing frameworks and criteria to guide the development, deployment, and selection of AI systems to foster innovation while protecting citizens’ rights and societal values. The EU’s proactive stance in establishing these criteria aims to balance innovation with ethical considerations and societal welfare, setting a benchmark for responsible AI development and deployment globally. The aim of the article is to present general criteria for the selection of artificial intelligence tools, as well as those specific to the field of publishing. The research was carried out based on the analysis of scientific and other sources. The results of the study can be useful for organizations and individuals that must be interested in selecting and using the right AI tools.
Downloads
References
2. Dupps Jr, W. J. (2023). Artificial intelligence and academic publishing. Journal of Cataract & Refractive Surgery, 49(7), 655-656.
3. Felzmann, H., Fosch-Villaronga, E., Lutz, C., & Tamò-Larrieux, A. (2020). Towards transparency by design for artificial intelligence. Science and Engineering Ethics, 26 (6), 3333-3361.
4. High-level expert group on artificial intelligence. (2019a). A definition of AI: Main capabilities and scientific disciplines. https://ec.europa.eu/ newsroom/dae/document.cfm?doc_id=60651
5. High-level expert group on artificial intelligence. (2019b). Ethics Guidelines for Trustworthy AI, 6. https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai
6. High-level expert group on artificial intelligence. (2020). Assessment List for Trustworthy AI (ALTAI). https://digital-strategy.ec.europa.eu/en/ library/assessment-list-trustworthy-artificial-intelligence-altai-self-assessment
7. International Monetary Fund. (2024). Gen-AI: Artificial Intelligence and the Future of Work. https://www.imf.org/en/Publications/Staff-Discussion-Notes/Issues/2024/01/14/Gen-AI-Artificial-Intelligence-and-theFuture-of-Work-542379?cid=bl-com-SDNEA2024001
8. Kaur, D., Uslu, S., & Durresi, A. (2021). Requirements for Trustworthy Artificial Intelligence – A Review. In L. Barolli, K. F. Li, T. Enokido, & M. Takizawa (Eds.). Advances in Networked-Based Information Systems (pp. 105–115). https://doi.org/10.1007/978-3-030-57811-4_11
9. Kurian, N., James, D., Varghese, V. S., Cherian, J. M., & Varghese, K. G. (2023). Artificial intelligence in scientific publications. The Journal of the American Dental Association, 154(12). doi: 10.1016/j.adaj.2023.03.015
10. Mhlanga, D. (2023). Artificial intelligence and machine learning for energy consumption and production in emerging markets: a review. Energies, 16(2), 745.
11. Midhun Moorthi C, Dr. K. Vimala Devi, Dr. V. Manjula, Tareek Pattewar. (2023). ChatGPT: Comprehensive Study On Generative AI Tool. (n.p.): Academic Guru Publishing House.
12. Pividori, M., & Greene, C. S. (2023). A publishing infrastructure for AIassisted academic authoring. BioRxiv. doi: 10.1101/2023.01.21.525030
13. Pongrac, H, Z. (2024). AI in scholarly communication. Food technology and biotechnology, 62(1), 127-129.
14. Reyes Rodríguez, A., & Moraga Muñoz, R. (2020). Criterios de selección de una revista científica para postular un artículo: breve guía para no ‘quemar’un paper. Sophia, 16(1), 93-109.
15. Šarlauskienė, L., & Šarlauskas, A. (2018). Publishing quality of scholarly journals. Inovacijos leidybos, poligrafijos ir multimedijos technologijose. https://ojs.kaunokolegija.lt/index.php/TMPK/article/view/233
16. Smeds, M. R., Mendes, B., O’Banion, L. A., & Shalhub, S. (2023). Exploring the pros and cons of using artificial intelligence in manuscript preparation for scientific journals. Journal of Vascular Surgery Cases, Innovations and Techniques, 9(2).
17. Tague, N. R. (2023). The quality toolbox. Quality Press.
18. Tarasevičienė, A., & Šutienė, K. (2022). Intelektikos pagrindai. Technologija. https://doi.org/10.5755/e01.9786090218068
19. The EU Artificial Intelligence Act. (2024). https://artificialintelligenceact. eu/
20. Veale, M., Matus, K., & Gorwa, R. (2023). AI and global governance: Modalities, rationales, tensions. Annual Review of Law and Social Science, 19, 255-275.
21. Visuotinė lietuvių enciklopedija. (2024). Kriterijus. https://www.vle.lt/ straipsnis/kriterijus-1/
