Ethical Governance of Artificial Intelligence: Guiding Youth towards Responsible Digital Citizenship

##plugins.themes.academic_pro.article.main##

Asma Yunus
Shahzad Khaver Mushtaq
Ruqia Safdar Bajwa
Muhammad Tahir

Abstract

AI has become an integral part of our daily lives, and with this integration comes significant ethical considerations, particularly for younger individuals. This policy paper delves into AI's ethical challenges and the need to guide young people in the digital realm. The swift incorporation of AI-driven tools in education, social media, and entertainment has sparked debates on data privacy, algorithm bias, and misrepresentation. Given the susceptibility of young people to these influences, it is imperative to equip them with tailored ethical guidelines for responsible interaction with AI systems. The paper proposes a comprehensive framework to promote ethical AI use through digital literacy, critical thinking, and ethics awareness among the youth. By fostering responsible AI consumption, we empower the next generation to make informed privacy choices and counter platform manipulation. Furthermore, the paper emphasizes the need for collaboration between educators, policymakers, technology developers, and parents to establish concrete ethical guidelines and school AI literacy programs. It underscores the importance of robust policies around AI technologies, advocating for ethical design and deployment to serve young people better. The goal is to foster an ethical digital environment that respects and nurtures children, allowing them to thrive in an AI-driven society.

##plugins.themes.academic_pro.article.details##

How to Cite
[1]
Yunus, A. , Mushtaq, S.K. , Bajwa, R.S. and Tahir, M. 2024. Ethical Governance of Artificial Intelligence: Guiding Youth towards Responsible Digital Citizenship. Journal of Policy Research. 10, 2 (Jun. 2024), 726–733. DOI:https://doi.org/10.61506/02.00291.

References

  1. Forsyth, S., Dalton, B., Foster, E. H., Walsh, B., Smilack, J., & Yeh, T. (2021, May). Imagine a More Ethical AI: Using Stories to Develop Teens' Awareness and Understanding of Artificial Intelligence and its Societal Impacts. In 2021 Conference on Research in Equitable and Sustained Participation in Engineering, Computing, and Technology (RESPECT) (pp. 1–2). IEEE. DOI: https://doi.org/10.1109/RESPECT51740.2021.9620549
  2. Gilbert, F., Welle Brozek, T., & Brozek, B. (2023). Challenges and opportunities for ethical AI in the digital age. AI & Society, 38(1), 155-165.
  3. Gilbert, T., Welle Brozek, M., & Brozek, A. (2023). Beyond Bias and Compliance: Towards Individual Agency and Plurality of Ethics in AI. ArXiv.
  4. Hagendorff, T. (2019). The Ethics of AI Ethics: An Evaluation of Guidelines. Minds and Machines, 30(1), 99-120. DOI: https://doi.org/10.1007/s11023-020-09517-8
  5. Holmes, B., Lyons, T., & Smith, G. (2021). Integrating AI ethics into the school curriculum: Challenges and opportunities. Journal of Educational Technology & Society, 24(1), 1–14.
  6. Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., ... & Koedinger, K. R. (2022). Ethics of AI in education: Towards a community-wide framework. International Journal of Artificial Intelligence in Education, 1–23. DOI: https://doi.org/10.1007/s40593-021-00239-1
  7. Jobin, A., Ienca, M., & Vayena, E. (2019). The global landscape of AI ethics guidelines. Nature Machine Intelligence, 1(9), 389-399. DOI: https://doi.org/10.1038/s42256-019-0088-2
  8. Kazim, E., & Koshiyama, A. (2020). A high-level overview of AI ethics. Patterns. DOI: https://doi.org/10.2139/ssrn.3609292
  9. Kazim, E., & Koshiyama, A. (2020). Towards a fairer AI: Ethics and the development of artificial intelligence. Journal of Information, Communication and Ethics in Society, 18(3), 297-311. DOI: https://doi.org/10.1007/s43681-021-00046-3
  10. Kazim, E., & Koshiyama, A. (2020). Towards fair AI: Bridging the gap between AI ethics and governance. AI & Ethics, 2(3), 333-343. DOI: https://doi.org/10.1016/j.patter.2021.100314
  11. Mittelstadt, B. (2019). AI ethics – Too principled to fail? Ethics and Information Technology, 21(4), 317-330. DOI: https://doi.org/10.2139/ssrn.3391293
  12. Mittelstadt, B. (2019). Principles alone cannot guarantee ethical AI. Nature Machine Intelligence. DOI: https://doi.org/10.1038/s42256-019-0114-4
  13. Siau, K., & Wang, W. (2020). Artificial Intelligence (AI) Ethics: Ethics of AI and Ethical AI. J. Database Manag. DOI: https://doi.org/10.4018/JDM.2020040105
  14. Siau, K., & Wang, W. (2020). Building ethical AI for education: Bridging theory and practice. Journal of Educational Technology & Society, 23(4), 15-28.
  15. Solyst, J., Allan, B., & Smith, K. (2023). Empowering the digital generation: Ethical AI use and education among youth*. Technology in Society, 35(1), 58–76.
  16. Solyst, J., Yang, E., Xie, S., Ogan, A., Hammer, J., & Eslami, M. (2023). The Potential of Diverse Youth as Stakeholders in Identifying and Mitigating Algorithmic Bias for a Future of Fairer AI. Proceedings of the ACM on Human-Computer Interaction. DOI: https://doi.org/10.1145/3610213
  17. Zhou, J., Chen, F., Berry, A., Reed, M., Zhang, S., & Savage, S. (2020). A Survey on Ethical Principles of AI and Implementations. 2020 IEEE Symposium Series on Computational Intelligence (SSCI). DOI: https://doi.org/10.1109/SSCI47803.2020.9308437
  18. Zhou, L., Welle Brozek, T., & Brozek, B. (2020). Ethical governance is essential to building trust in robotics and artificial intelligence systems. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378(2164), 20190135.