Tanwir Tanwir
Universitas Sains dan Teknologi Jayapura, Indonesia

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A Comprehensive Review of the Transformative Impact of Artificial Intelligence on Sustainable Development Sri Widiastuti; Loso Judijanto; Tanwir Tanwir; Arnes Yuli Vandika; Abdul Muid Fabanyo
Journal of Artificial Intelligence and Development Vol. 1 No. 2 (2022): AI Development
Publisher : Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/jaid.v1i2.333

Abstract

This comprehensive review article examines the transformative impact of Artificial Intelligence (AI) on Sustainable Development, covering diverse sectors such as environmental conservation, energy efficiency, healthcare, and socio-economic inclusion. The integration of AI technologies has the potential to revolutionize traditional practices and contribute significantly to achieving sustainable development goals. The primary objective is to comprehensively analyze AI's transformative impact across various domains of sustainable development, highlighting key applications, challenges, and future trends. The research methodology involves a Systematic Literature Review (SLR) approach, encompassing a structured search, selection, and analysis of relevant scholarly articles, reports, and studies on AI and sustainable development. The findings reveal that AI is crucial in environmental monitoring, energy optimization, healthcare innovation, and socio-economic inclusion. However, ethical considerations, data privacy, and regulatory frameworks are essential aspects to address for responsible AI deployment in sustainable development initiatives.
Ethical Considerations in the Development and Application of Artificial Intelligence for Social and Economic Progress Loso Judijanto; Jackson Yumame; Tanwir Tanwir; Gusma Afriani; Arnes Yuli Vandika
Journal of Artificial Intelligence and Development Vol. 1 No. 1 (2022): AI Development
Publisher : Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/jaid.v1i1.335

Abstract

This study investigates the ethical considerations surrounding the development and application of artificial intelligence (AI) for social and economic progress. This research aims to analyze the impact of AI on fairness, transparency, accountability, privacy, and social outcomes. The research method uses a systematic literature review (SLR) to collect and synthesize relevant findings from previous research and theoretical frameworks. The data is collected, and the data analysis technique used in the SLR method is to carry out stages such as study selection, evaluation of study quality, extraction of relevant data, and synthesis of findings from the selected studies. This research results in the importance of mitigating bias, increasing transparency and accountability, protecting privacy and data, and evaluating the social impact of AI. In conclusion, this research underscores the critical need for ethical frameworks and regulations to guide AI's responsible development and deployment to drive equitable and beneficial social and economic progress.