Titlebook: Artificial Intelligence, Finance, and Sustainability; Economic, Ecological Thomas Walker,Dieter Gramlich,Akram Sadati Book 2024 The Editor(

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Predicting Carbon Emissions with Explainable Machine Learning Models: Applications for China’s Provirbon emissions. The projection of carbon emissions and the clarification of the factors that have a substantial influence on them are crucial in effectively controlling carbon emissions. In this analysis, the K-means method is implemented to sort the carbon emissions of the 30 provinces in China int

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Assessing Physical Climate Risks: An AI-Powered Tool for Businessesitions, disrupting supply chains and impacting operations and assets. Business leaders urgently require practical, innovative tools to assess and adapt to physical climate risks. Current solutions, often akin to credit and environmental, social, and governance (ESG) ratings, typically provide a sing

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The Implications of Adopting Artificial Intelligence in the Auditing Process—while also acknowledging the challenges and ethical implications of these processes. The study reveals how artificial intelligence has been integrated into the audit process of the four largest international accounting firms in Nigeria using data available from their artificial intelligence reports

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Artificial Intelligence to Advance Sustainability: A Review of Progresss for the future of AI, sustainability, and finance. In addition, this chapter responds to the need for additional research to determine how to maximize the use of emerging intelligent technologies to address sustainability challenges, particularly climate change.

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https://doi.org/10.1007/b104806s for the future of AI, sustainability, and finance. In addition, this chapter responds to the need for additional research to determine how to maximize the use of emerging intelligent technologies to address sustainability challenges, particularly climate change.