Artificial intelligence

Abstract: The article is devoted to the issue of children's interaction with artificial intelligence agents. The main stages of the digital transformation of society in the 21st century are studied and how it has affected the development, learning and well-being of children and adolescents. The role of artificial intelligence in these processes is determined. Changes in the cognitive, psychological and social skills of children and adolescents as a result of their use of various artificial intelligence algorithms are described. In particular, it was found that artificial intelligence agents, if they were developed taking into account the principles of learning, can be useful and very effective, but cannot and should not replace real interaction and communication with real people: friends, parents, classmates, etc. The importance and necessity of teaching literacy in the field of artificial intelligence at an early age was emphasized. The issue was considered from the perspective of generational theory, and it was determined that the majority of children and adolescents currently belong to the Alpha generation, whose representatives don’t simply perceive the digital environment as something natural, but were the first to be born in the digital age. Because of this, some researchers are quite optimistic about the potential impact of the revolution in artificial intelligence, in particular, on the psychological health of "alphas", unlike, for example, representatives of generation Z, who appeared earlier and are also partially related to this study. Nevertheless, it is important to remember that the principles of the human brain are fundamentally different from the principles of artificial intelligence, and a significant quantitative and qualitative change in the processes occurring in the environment leads to psychological stress, social problems and even the loss of certain cognitive skills.

Keywords: artificial intelligence (AI), children, adolescents, education, development, well-being, digitalization, AI literacy.

References:

1. The world needs a ‘premortem’ on generative AI and its use in education. Brookings. Retrieved from https://www.brookings.edu/articles/the-world-needs-a-premortem-on-generative-ai-and-its-use-in-education/
2. Experts warn about the dangers of Artificial Intelligence for children. Vietnam.vn. Retrieved from https://www.vietnam.vn/en/chuyen-gia-canh-bao-ve-nhung-nguy-co-cua-tri-tue-nhan-tao-doi-voi-tre-em/
3. Social Media and Mental Health: Are You Addicted to Social Media? HelpGuide.org. Retrieved from:https://www.helpguide.org/mental-health/wellbeing/social-media-and-mental-health
4. Su, J., Ng, D. & Chu, S. (2023). Artificial Intelligence (AI) Literacy in Early Childhood Education: The Challenges and Opportunities. Computers and Education: Artificial Intelligence, 4, 100-124. https://doi.org/10.1016/j.caeai.2023.100124.
5. How will artificial intelligence affect a child's development? Smart Mama. Retrieved from https://smartmama.com.ua/novini/yak-na-rozvytok-dytyny-vplyvatyme-shtuchnyy-intelekt/
6. Duggan, S. (2020). AI in Education: Change at the speed of Learning. UNESCO, Institute for Information Technologies.
7. Zhmai, A., Vashkovskaya, M. (2021). Influence of soft skills on career development during coronacrisis. Innovative entrepreneurship: status and development prospects, 106-109.
8. Yang, W. (2022). Artificial Intelligence education for young children: Why, what, and how in curriculum design and implementation. Computers and Education: Artificial Intelligence, 3, 100061. https://doi.org/10.1016/j.caeai.2022.100061.
9. Scherer, R., Siddiq, F., & Sánchez Viveros, B. (2019). The cognitive benefits of learning computer programming: A meta-analysis of transfer effects. Journal of Educational Psychology, 111(5), 764-792. https://doi.org/10.1037/edu0000314.
10. Yukhymets, S., Koliasa, O. (2023). Training of translators and implementation of AI in the educational process: challenges and prospects. Artificial intelligence, 2, 33-40. https://doi.org/10.15407/jai2023.02.033.
11. Will Children's Education Change After the Introduction of Artificial Intelligence: Pros and Cons. Comments.ua. Retrieved from https://society.comments.ua/ua/news/science-and-learning/chi-zminitsya-osvita-ditey-pislya-vprovadzhennya-shtuchnogo-intelektu-plyusi-ta-minusi-743395.html
12. Bastani, H., Bastani, O., Sungu, A., Ge, H., Kabakcı, Ö. R. (2024). Generative AI Can Harm Learning. The Wharton School Research Paper. http://dx.doi.org/10.2139/ssrn.4895486.
13. The Impact of AI on Children's Development. Harvard Graduate School of Education. Retrieved from https://www.gse.harvard.edu/ideas/edcast/24/10/impact-ai-childrens-development
14. Xu, Y., Warschauer, M. (2020). What Are You Talking To?: Understanding Children's Perceptions of Conversational Agents. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, 1-13. https://doi.org/10.1145/3313831.3376416.
15. Most Teens Think AI Won’t Hurt Their Mental Health, Teachers Disagree. Education Week. Retrieved from https://www.edweek.org/technology/most-teens-think-ai-wont-hurt-their-mental-health-teachers-disagree/2024/03
16. How Will Artificial Intelligence (AI) Affect Children? HealthyChildrens.org. Retrieved from https://www.healthychildren.org/English/family-life/Media/Pages/how-will-artificial-intelligence-AI-affect-children.aspx
17. I set up a ChatGPT my 3-year old. Here's how it went. AI Snake Oil. Retrieved from http://surl.li/qlltfl
18. Zhmai, O., Mozghalova, M. (2022). Differentiation of Personnel Motivation in the Context of Generational Theory. Herald of the Economic Sciences of Ukraine, 1(42), 94-100. https://doi.org/10.37405/1729-7206.2022.1(42).94-100.
19. 2023 Annual Report, Born connected: The rise of the AI generation. Quostodio. Retrieved from https://static.qustodio.com/public-site/uploads/2024/01/19122535/ADR_2023-24_EN.pdf?_gl=1*iu072x*_gcl_au*Njg2NjU0Mjk3LjE3Mzg2MDI0MTY.
20. Generative AI predictions for 2024. CB Insights. Retrieved from https://www.cbinsights.com/research/report/generative-ai-predictions-2024/
21. PISA 2022 U.S. Results. National Center for Education Statistics. Retrieved from https://nces.ed.gov/surveys/pisa/pisa2022/index.asp
22. What the heck happened in 2012? The Intrinsic Perspective. Retrieved from https://www.theintrinsicperspective.com/p/what-the-heck-happened-in-2012
23. Brinkmann, L., Baumann, F., Bonnefon, JF. et al. (2023). Machine culture. Nat Hum Behav 7, 1855–1868. https://doi.org/10.1038/s41562-023-01742-2.
24. 2023 Bad Bot Report. Imperva. Retrieved from https://www.imperva.com/resources/reports/2023-Imperva-Bad-Bot-Report.pdf.
25. 2024 Bad Bot Report. Imperva. Retrieved from https://palai.media/wp-content/uploads/2024/04/imperva-bad-bot-report-2024.pdf.
26. Yang, K.-C., Menczer, F. (2024) Anatomy of an AI-powered malicious social botnet. Journal of Quantitative Description: Digital Media, 4. https://doi.org/10.51685/jqd.2024.icwsm.7.
27. AI scores high in China’s ‘gaokao’ language tests, low in math. Nation Thailand. Retrieved from https://www.nationthailand.com/news/world/40039077
28. First AI Gaokao Assessment Results Released: GPT-4o Takes Second Place. AIbase. Retrieved from https://www.aibase.com/news/9680.
29. OpenAI Unveils o3 Model Family: Advancing Reasoning, Coding, and Safety. Maginative. Retrieved from https://www.maginative.com/article/openai-unveils-o3-model-family-advancing-reasoning-coding-and-safety/.
30. Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training. LessWrong. Retrieved from https://www.lesswrong.com/posts/ZAsJv7xijKTfZkMtr/sleeper-agents-training-deceptive-llms-that-persist-through.
31. The near-term impact of AI on the cyber threat. National Cyber Security Centre. Retrieved from https://www.ncsc.gov.uk/report/impact-of-ai-on-cyber-threat.