As the world increasingly recognizes the importance of sustainability, businesses and investors are looking for ways to integrate sustainable practices into their operations and investment decisions. At the same time, advancements in artificial intelligence (AI) and technology are transforming the finance industry and are enabling more data-driven decision-making. The intersection of these fields presents a significant opportunity to accelerate progress towards a more sustainable future, while also improving financial performance.
This book explores the crucial role of AI in sustainability and finance, examining how financial technologies and machine learning are shaping the approach of finance professionals towards environmental, social, and governance (ESG) issues. It provides a comprehensive and integrated perspective on how these areas are becoming increasingly intertwined and examines the ethical and social implications of AI in finance and its potential to unlock new opportunities for sustainability. By focusing on the practical implications of these intersections and including both case studies and expert analysis, the book provides valuable insights for practitioners, policymakers, academics, and students alike.
INTRODUCTION.
Chapter 1: Artificial Intelligence, Finance, and
Sustainability: An Overview.- PART 1: CONCEPTUAL (INTEGRATIVE) FRAMEWORKS.-
Chapter 2: A Panoramic Overview of the Opportunities and Challenges
Artificial Intelligence Brings to ESG Investing.
Chapter 3: Measuring
Sustainability with Artificial Intelligence.
Chapter 4: Enhancing
Sustainable Finance Advisory and Literacy through AI-based Personalization.-
Chapter 5: Artificial Intelligence to Advance Sustainability: A Review of
Progress.
Chapter 6: The Future of Sustainable Finance: AI-Driven
Sustainable Pairs Trading in Market-Neutral Investing.- PART II: CLIMATE AND
ENERGY.
Chapter 7: Predicting Carbon Emissions with Explainable Machine
Learning Models: Applications for Chinese Provinces.
Chapter 8: Assessing
Physical Climate Risks: An AI-Powered Tool for Businesses.
Chapter 9: The
Role of Artificial Intelligence in Energy Efficiency and Finance.- PART III:
REPORTING AND REGULATION.
Chapter 10: Enhancing the Issuance and Monitoring
of Sustainable Finance Instruments through Artificial Intelligence.
Chapter
11: The Law of Fintech: How Artificial Intelligence and Innovative
Technologies Contribute to a Sustainable Financial Industry and Its Effective
Regulation.
Chapter 12: Corporate Digital Responsibility for Artificial
Intelligence: Towards a Disclosure Framework.
Chapter 13: The Implications
of Adopting Artificial Intelligence in the Auditing Process.
Thomas Walker is a Professor of Finance and Concordia University Research Chair in Emerging Risk Management at Concordia University, Montreal, Canada. Prior to academia, he worked for several years in the German consulting and industrial sector at Mercedes Benz, Utility Consultants International, Lahmeyer International, Telenet, and KPMG Peat Marwick.
Dieter Gramlich is a Professor at DHBW Baden-Wuerttemberg Cooperative State University in Heidenheim, Germany, where he serves as Head of the Banking Department. He previously studied at the University of Mannheim and was an interim professor and Chair of Banking & Finance at the University of Halle. His research focuses on sustainable finance.
Akram Sadati is a Finance MSc candidate at the John Molson School of Business, Concordia University. She serves as a teaching assistant and research associate for the Emerging Risks Information Center. In addition, she has experience as a financial analyst and data analyst in the banking and financial services industry. Akram completed her undergraduate and graduate degrees in Financial Management in Iran. She has been awarded several scholarships and awards for her academic performance.
Daugiau apie elektronines knygas