Enhancing the Issuance and Monitoring of Sustainable Finance Instruments through AI (Artificial Intelligence, Finance, and Sustainability)
Yazarlar (2)
Suliman Alshahmy
Dr. Öğr. Üyesi Mehmet ŞAHİNER Yalova Üniversitesi, Türkiye
| Bölüm Adı | Enhancing the Issuance and Monitoring of Sustainable Finance Instruments through AI | ||
| Kitap Adı | Artificial Intelligence, Finance, and Sustainability | ||
| Bölüm Sayfaları | 217-241 | ||
| Kitap Türü | Kitap Bölümü | ||
| Kitap Alt Türü | Alanında uluslararası yayınlanan kitap bölümü | ||
| Kitap Niteliği | Diğer uluslararası bilimsel kitap | ||
| Kitap Dili | İngilizce | Basım Tarihi | 01-2024 |
| DOI Numarası | 10.1007/978-3-031-66205-8_9 | ISBN | 978-3-031-66205-8 |
| Basıldığı Ülke | İsviçre | Basıldığı Şehir | |
| Kitap Linki | https://doi.org/10.1007/978-3-031-66205-8_9 | ||
| Özet |
| The integration of artificial intelligence (AI) in the financial industry has significantly driven the convergence between finance and sustainability by optimizing resource allocation and enhancing decision-making processes. This has empowered financial institutions to utilize AI algorithms and predictive analytics to evaluate sustainable investments and innovative ESG-compliant financial solutions. In 2020, the green capital markets witnessed a surge, generating approximately $400 billion in green and sustainability bonds. As industries increasingly adopt AI, understanding its impact on sustainability and green financing is paramount. This research provides a comprehensive overview of AI’s role in sustainable finance, explaining its capacity to align investments with the United Nation’s Sustainable Development Goals (SDGs) and its instrumental role in digitizing the green finance sector. Key findings include AI’s efficiency in evaluating sustainable investments, with a 25% improvement in ESG data analysis accuracy. AI-driven risk models demonstrate a 30% improvement in the accuracy of predicting financial downturns, and AI-enhanced monitoring systems reduce the time required for sustainability audits by 40%. This chapter also addresses challenges in AI-driven sustainable finance, such as data privacy concerns and algorithmic biases. It highlights the importance of regulatory frameworks in balancing innovation with ethical standards. The chapter further explores potential vulnerabilities, emphasizing the necessity of robust regulatory frameworks. Ultimately, the research offers insights for policymakers and stakeholders on harnessing AI for a resilient and sustainable global economy. |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
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