Ethics of Artificial Intelligence: Dialectics of Artificial Intelligence Policy for Humanity
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Abstract
Artificial Intelligence is now widely used by humans. The use of this technology is based on the view that Artificial Intelligence can make their lives easier. Many sectors have utilized this technology, including government, private, social, health, to education. Even though Artificial Intelligence is felt to have many benefits, there are perceived threats so that appropriate policies are needed. Thus, the aim of this research is to find out policies that can be recommended for the use of Artificial Intelligence that focus on humanitarian aspects. This research uses a qualitative approach to deepen the literature review that has been carried out. The results of this research show that the presence of Artificial Intelligence provides quite large benefits, especially as a technology for predicting the future. However, to regulate the use of this technology, appropriate policies are needed to avoid increasingly widespread digital crimes. In formulating Artificial Intelligence policies, humanitarian aspects need to be considered to provide appropriate protection. Especially for vulnerable groups who have low access to the use of Artificial Intelligence.
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References
A. Z. Yonatan, “Menilik Penggunaan AI di Perusahaan Dunia 2017-2022,” data.goodstats.id. Accessed: Sep. 30, 2023. [Online]. Available: https://data.goodstats.id/statistic/agneszefanyayonatan/menilik-penggunaan-ai-di-perusahaan-dunia-2017-2022-H7YTL
C. M. Annur, “Aplikasi Artificial Intelligence/AI yang Paling Banyak Digunakan di Indonesia (April 2023),” databoks.katadata.id. Accessed: Sep. 30, 2023. [Online]. Available: https://databoks.katadata.co.id/datapublish/2023/06/21/deretan-aplikasi-ai-paling-banyak-digunakan-di-indonesia-chatgpt-teratas
Y. S. Pongtambing et al., “Peluang dan Tantangan Kecerdasan Buatan Bagi Generasi Muda,” Bakti Sekawan: Jurnal Pengabdian Masyarakat, vol. 3, no. 1, pp. 23–28, 2023, doi: 10.35746/bakwan.
D. N. Sari, “Tantangan dan Peluang Implementasi Artificial Intelligence pada Perbankan,” Jurnal Manajemen dan Bisnis, vol. 09, no. 01, pp. 1–8, 2023.
A. Z. Rahmawan and Z. Efendi, “Implementasi Society 5.0 dalam Kebijakan dan Strategi Pendidikan pada Pandemi Covid-19,” STRATEGY: Jurnal Inovasi Strategi dan Model Pembelajaran, vol. 2, no. 1, pp. 34–43, 2021.
M. W. S. Dluha, “Relevansi Filsafat Dialektika Hegel pada Perang Diponegoro Tahun 1825-1830,” Criksetra: Jurnal Pendidikan Sejarah, vol. 10, no. 2, pp. 143–158, 2021.
Y. A. Aliano, “Neo-Modern Capitalism 4.0 ‘New Face’ of Dialectics and Materialism Karl Marx,” AGGIORNAMENTO: Jurnal Filsafat-Teologi Kontekstual, vol. 3, no. 1, pp. 1–17, 2022.
Y. Pangestutiani, “Kritik Terhadap Hegel (Oleh Karl Marx dan Soren Aabey Kierkegaard),” Spiritualis, vol. 4, no. 1, pp. 90–103, 2018.
A. R. A. Aziz, “Korelasi Dialektika Hegel dan Pancasila,” Sophia Dharma: Jurnal Filsafat, Agama Hindu, dan Masyarakat, vol. 5, no. 1, pp. 30–54, 2022.
Y. K. Dwivedi et al., “Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy,” Int J Inf Manage, vol. 57, pp. 1–47, 2021, doi: 10.1016/j.ijinfomgt.2019.08.002.
Z. Allam, G. Dey, and D. S. Jones, “Artificial Intelligence (AI) Provided Early Detection of the Coronavirus (COVID-19) in China and Will Influence Future Urban Health Policy Internationally,” AI (Switzerland), vol. 1, pp. 156–165, 2020, doi: 10.3390/ai1020009.
I. Ulnicane, W. Knight, T. Leach, B. C. Stahl, and W.-G. Wanjiku, “Framing governance for a contested emerging technology: insights from AI policy,” Policy Soc, vol. 40, no. 2, pp. 158–177, 2021, doi: 10.1080/14494035.2020.1855800.
P. M. Krafft, M. Young, M. Katell, K. Huang, and G. Bugingo, “Defining AI in Policy versus Practice,” in AIES’20, New York, 2020, pp. 72–78.
C. Yang and C. Huang, “Quantitative mapping of the evolution of AI policy distribution, targets and focuses over three decades in China,” Technol Forecast Soc Change, vol. 174, pp. 1–17, 2022, doi: 10.1016/j.techfore.2021.121188.
S. Chatterjee, “AI strategy of India: policy framework, adoption challenges and actions for government,” Transforming Government: People, Process and Policy, pp. 1–19, 2021, doi: 10.1108/TG-05-2019-0031.
J. Crawford, M. Cowling, S. Ashton-hay, J. Kelder, and R. Middleton, “Artificial Intelligence and Authorship Editor Policy: ChatGPT, Bard Bing AI, and beyond,” Journal of University Teaching & Learning Practice, vol. 20, no. 5, pp. 1–13, 2023.
M. M. Uzun, M. Yildiz, and M. Onder, “Sciences Big Questions of Artificial Intelligence (AI) in Public Administration and Policy,” SİYASAL : Journal of Political, vol. 31, no. 2, pp. 423–442, 2022, doi: 10.26650/siyasal.2022.31.1121900.
L. Miller et al., “AI for monitoring the Sustainable Development Goals and supporting and promoting action and policy development,” in 2020 IEEE / ITU International Conference on Artificial Intelligence for Good (AI4G), 2020, pp. 180–185.
A. Wilk, “Teaching AI , Ethics , Law and Policy,” pp. 1–15, 2019.
D. Schiff, J. Biddle, J. Borenstein, and K. Laas, “What’s Next for AI Ethics, Policy, and Governance? A Global Overview,” in AIES’20, New York, 2020, pp. 153–158.
S. C. Robinson, “Trust, transparency, and openness: How inclusion of cultural values shapes Nordic national public policy strategies for artificial intelligence (AI),” Technol Soc, vol. 63, pp. 1–15, 2020, doi: 10.1016/j.techsoc.2020.101421.
H. Salo-Pottinen and P. Saariluoma, “Reflections on the human role in AI policy formulations: how do national AI strategies view people?,” Discover Artificial Intelligence, vol. 2, no. 3, pp. 1–24, 2022, doi: 10.1007/s44163-022-00019-3.