Legal Challenges in the Development of Green AI to Support Indonesia's National and International Commitments to Sustainable Technology
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Abstract
Green AI has great potential in supporting sustainability efforts through the application of environmentally friendly technologies that can reduce energy consumption and carbon emissions. However, legal arrangements related to the development of Green AI in Indonesia are still limited, despite the urgency to integrate AI in the sustainable technology ecosystem. Environmental protection through Green AI policy requires a clear and in-depth legal framework to ensure the contribution of this technology to sustainability goals. This research aims to analyze the legal and policy challenges needed to support the development of Green AI in Indonesia. The method used in this research is juridical-normative research, by analyzing secondary data from primary, secondary, and tertiary legal materials. The results show that Green AI has great potential to support sustainability in Indonesia, but is hampered by the lack of specific regulations. The government needs to develop policies that include operational standards, green certification, and incentives for companies that adopt green technologies. Concrete steps such as accelerating licensing, supporting research, and encouraging public-private sector collaboration will significantly increase the practical impact of Green AI.
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References
Alzoubi, Y. I., & Mishra, A. (2024). Green artificial intelligence initiatives: Potentials and challenges. Journal of Cleaner Production, 468, 143090. https://doi.org/10.1016/j.jclepro.2024.143090
Cicerone, G., Faggian, A., Montresor, S., & Rentocchini, F. (2023). Regional artificial intelligence and the geography of environmental technologies: Does local AI knowledge help regional green-tech specialization? Regional Studies, 57(2), 330–343. https://doi.org/10.1080/00343404.2022.2092610
Das, S., Dey, A., Pal, A., & Roy, N. (2015). Applications of Artificial Intelligence in Machine Learning: Review and Prospect. International Journal of Computer Applications, 115(9), 31–41. https://doi.org/10.5120/20182-2402
ESDM. (2021). “Government Optimistic to Achieve 23% of Renewable Energy by 2025. Kementrian ESDM”. https://www.esdm.go.id/id/berita-unit/direktorat-jenderal-ketenagalistrikan/pemerintah-optimistis-ebt-23-tahun-2025-tercapai
Imaz, M., & Sheinbaum, C. (2017). Science and technology in the framework of the sustainable development goals. World Journal of Science, Technology and Sustainable Development, 14(1), 2–17. https://doi.org/10.1108/WJSTSD-04-2016-0030
Indonesia. (2009). Undang-undang No. 32 Tahun 2009 Tentang Perlindungan dan Pengelolaan Lingkungan Hidup.
Indonesia. (2017). Peraturan Presiden Nomor 22 Tahun 2017 tentang Rencana Umum Energi Nasional.
Jarvis, P. (2020). Environmental technology for the sustainable development goals (SDGs). Environmental Technology, 41(17), 2155–2156. https://doi.org/10.1080/09593330.2020.1772547
Jorzik, P., Antonio, J. L., Kanbach, D. K., Kallmuenzer, A., & Kraus, S. (2024). Sowing the seeds for sustainability: A business model innovation perspective on artificial intelligence in green technology startups. Technological Forecasting and Social Change, 208, 123653. https://doi.org/10.1016/j.techfore.2024.123653
JRE. (2021). Paris Agreement: The World’s Climate Change Prevention Aspirations. Jakarta Rendah Emisi. https://rendahemisi.jakarta.go.id/article/43/perjanjian-paris-aspirasi-pencegahan-perubahan-iklim-dunia#:~:text=Perjanjian%20Paris%20atau%20Paris%20Climate,yang%20sedang%20berlangsung%20saat%20ini.
Khanzode, K. C. A. (2022). Advantages And Disadvantages Of Artificial Intelligence And Machine Learning: A Literature Review.
Laila, K. (2024). AI Energy Consumption Disrupts Google and Microsoft’s Emissions Promise. BETAHITA. https://betahita.id/news/detail/10397/konsumsi-energi-ai-ganggu-janji-emisi-google-dan-microsoft.html?v=1720226711
Leal Filho, W., Vidal, D. G., Chen, C., Petrova, M., Dinis, M. A. P., Yang, P., Rogers, S., Álvarez-Castañón, L., Djekic, I., Sharifi, A., & Neiva, S. (2022). An assessment of requirements in investments, new technologies, and infrastructures to achieve the SDGs. Environmental Sciences Europe, 34(1), 58. https://doi.org/10.1186/s12302-022-00629-9
Levvin, K. (2022). 6 Major Findings of the IPCC 2022 Report on Climate Impacts, Adaptation and Vulnerability. World Resources Institute. https://www.wri.org/insights/ipcc-report-2022-climate-impacts-adaptation-vulnerability
Muhammad, G. (2023). PLN Expands Use of Artificial Intelligence to Improve Customer Service Quality. PLN. https://web.pln.co.id/media/siaran-pers/2023/08/pln-perluas-penggunaan-artificial-intelligence-untuk-tingkatkan-kualitas-layanan-pelanggan
Putranti, D., & Putri, U. T. (2024). Enforcement of Copyright Law on Non-Fungible Token (NFT) Through Smart Contracts. Kosmik Hukum, 24(1), 40. https://doi.org/10.30595/kosmikhukum.v24i1.18476
Quddus, Muh. S. (2024). Implications law in ethics sustainable business in Indonesia. Gema Wiralodra, 15(1), 596–605. https://doi.org/10.31943/gw.v15i1.693
Schwartz, R., Dodge, J., Smith, N. A., & Etzioni, O. (2020). Green AI. Communications of the ACM, 63(12), 54–63. https://doi.org/10.1145/3381831
Sui, B., & Yao, L. (2023). The impact of digital transformation on corporate financialization: The mediating effect of green technology innovation. Innovation and Green Development, 2(1), 100032. https://doi.org/10.1016/j.igd.2022.100032
UN. (2017). Sustainable Development Gaols. United Nations. https://sustainabledevelopment.un.org/memberstates/sweden
Verdecchia, R., Sallou, J., & Cruz, L. (2023). A systematic review of Green AI. WIREs Data Mining and Knowledge Discovery, 13(4), e1507. https://doi.org/10.1002/widm.1507
Xue, L., Zhang, Q., Zhang, X., & Li, C. (2022). Can Digital Transformation Promote Green Technology Innovation? Sustainability, 14(12), 7497. https://doi.org/10.3390/su14127497
Zhang, X., Hou, Y., & Geng, K. (2024). Environmental Regulation, Green Technology Innovation, and Industrial Green Transformation: Empirical Evidence from a Developing Economy. Sustainability, 16(16), 6833. https://doi.org/10.3390/su16166833