The Influence of AI Applications on Human Growth and Development
DOI:
https://doi.org/10.63282/3050-922X.ICAILLMBA-112Keywords:
Artificial Intelligence, Human Development, Education, Healthcare, Ethics, PolicyAbstract
Despite its transformative potential, the rapid adoption of Artificial Intelligence (AI) risks reinforcing existing social inequalities due to ethical, governance, and accessibility challenges. This study examines how AI-driven innovations in education and healthcare can promote inclusive global development while addressing concerns related to algorithmic bias, data privacy, and workforce displacement. The primary objectives are to assess equity-enhancing AI applications and to identify governance strategies that ensure responsible deployment. Using a qualitative methodology based on case study analysis and trend evaluation, the study investigates real-world implementations of adaptive learning platforms and AI-enabled healthcare services. The findings indicate that AI can significantly improve access to education and healthcare in underserved regions when guided by transparent, accountable, and human-centered frameworks. The study proposes strategic governance measures, including bias auditing and data protection regulations, and concludes that coordinated action among policymakers, technologists, and civil society is essential to ensure AI advances equitable and sustainable development.
References
[1] UNESCO. (2021). “AI and education: Guidance for policy-makers”. UNESCO Publishing.
[2] World Economic Forum. (2023). “The future of jobs report 2023”. World Economic Forum.
[3] OECD. (2023). “OECD AI principles: Progress and implementation”. Organization for Economic Co-operation and Development.
[4] European Commission. (2023). “The EU Artificial Intelligence Act: Ensuring trustworthy AI”. Publications Office of the European Union.
[5] World Health Organization. (2023). “Ethics and governance of artificial intelligence for health”. WHO Press.
[6] Floridi, L., Cowls, J., Beltrametti, M., et al. (2022). AI4People "An ethical framework for a good AI society. Minds and Machines”, 32(1), 1–25. https://doi.org/10.1007/s11023-021-09559-9.
[7] Buolamwini, J., & Gebru, T. (2018). “Gender shades: Intersectional accuracy disparities in commercial gender classification. Proceedings of Machine Learning Research”, 81, 1–15.
[8] Russell, S., & Norvig, P. (2020). “Artificial intelligence: A modern approach (4th ed.)”. Pearson.
[9] Food and Agriculture Organization of the United Nations. (2023). “Artificial intelligence and digital agriculture”. FAO.
[10] United Nations Development Programme. (2024). “Human development report 2023/2024: Breaking the gridlock Reimagining cooperation in a polarized world”. UNDP.
[11] L. Zhao, “AI in Education: Case Studies from China”. Singapore: Springer, 2023. https://link.springer.com/book/10.1007/978-981-19-9472-9