Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Book Chapter Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Harnessing Technology for a Sustainable Future in Finance: The Role of Artificial Intelligence in Promoting Environmental Responsibility Subject The topic of the resource Artificial intelligence; ESG integration; Sustainable finance Description An account of the resource The integration of artificial intelligence (AI) into sustainable finance has become a focal point in recent years, propelled by global concerns about the environment and the pressing need for sustainable development. AI technologies, equipped with advanced capabilities, offer significant opportunities to address challenges faced by financial institutions, investors, and policymakers, ushering in the prospect of a more sustainable and inclusive economy. AI's applications in sustainable finance cover diverse areas such as environmental risk assessment, green investment analysis, climate change modeling, and the integration of Environmental, Social, and Governance (ESG) factors. By leveraging advanced data analytics and machine learning algorithms, AI empowers financial institutions to assess environmental risks associated with investments and portfolios, identifying climate-related opportunities and seamlessly integrating ESG factors into decision-making processes. Furthermore, AI-driven technologies streamline the collection, processing, and analysis of extensive data from varied sources, facilitating precise and timely sustainability reporting. These technologies contribute to identifying sustainable investment trends and play a crucial role in monitoring the progress of sustainability initiatives. AI algorithms also aid in crafting predictive models for climate-related events, assisting investors and policymakers in evaluating the long-term financial implications of climate change and formulating effective mitigation strategies. While the adoption of AI in sustainable finance offers immense potential, it is not without challenges and risks. Ethical considerations, data quality and biases, transparency, and the interpretability of AI models are among the key concerns that require careful attention. Additionally, the establishment of regulatory frameworks and industry standards is essential to ensure the responsible and ethical use of AI technologies in finance. In spite of these challenges, the integration of AI in sustainable finance holds great promise for expediting the transition towards a greener and more sustainable future. It empowers stakeholders to make well-informed decisions, advocates for responsible investment practices, and contributes significantly to the attainment of global sustainability goals. By harnessing the capabilities of AI, financial institutions and policymakers can unlock new opportunities, mitigate risks, and cultivate a financial system that is not only sustainable but also resilient. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. Creator An entity primarily responsible for making the resource Singh S.; Yadav S.; Singh A.; Krishna Y.J.; Singh A. Source A related resource from which the described resource is derived Studies in Systems, Decision and Control, Vol-536, pp. 367-378. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-63402-4_30" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-63402-4_30</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205127213&amp;doi=10.1007%2F978-3-031-63402-4_30&amp;partnerID=40&amp;md5=f91b647802c14f6388037029d94ae7b6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205127213&amp;doi=10.1007%2f978-3-031-63402-4_30&amp;partnerID=40&amp;md5=f91b647802c14f6388037029d94ae7b6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21984182 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singh S., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Delhi NCR, India; Yadav S., School of Commerce, Finance and Accountancy, CHRIST (Deemed to be University), Delhi NCR, India; Singh A., Kristu Jayanti College (Autonomous), Bangalore, India; Krishna Y.J., Christ College of Science and Management, Bangalore, India; Singh A., School of Management Science, Varanasi, India