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Looking Back Looking Forward (LBLF)

LBLF provides a concise and analytical discussion of issues relating to the intersection of finance, technology, regulation, globalization and sustainable development.

 

Led by Professor Douglas Arner, LBLF focuses on major current issues in global finance, presenting them in their wider context.

 

Topics include digitization and datafication of finance, major trends and themes in global finance and its regulation, and the role of finance in sustainable development.

 

LBLF goes out every month to over 100,000 learners on the HKU-edX Professional Certificate in FinTech.

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11 Years After Haiyan: Confronting the Climate Crisis

Looking Back Looking Forward

with Professor Douglas Arner

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This special episode of Looking Back Looking Forward with Professor Douglas Arner, reflects on the 11th year since Super Typhoon Haiyan (Yolanda) and explores how the Philippines and the broader global community are addressing the escalating climate crisis. The narrative connects the devastating legacy of Haiyan, which claimed over 6,000 lives and caused nearly USD 13 billion in damages, to the current efforts in disaster preparedness, financial resilience, and accountability for climate change contributors. Local experts and leaders, such as Dr. Jaime Aristotle Alip discuss the socioeconomic challenges of frequent typhoons and the critical role of systems like microfinance and insurance in fostering recovery and resilience.

 

Professor Arner emphasizes the need for financial systems that not only provide immediate disaster response but also support long-term adaptation and sustainable development. The video calls for global collaboration to address the urgent disparities in climate impact and ensure resources reach those most affected by the crisis.

 

This LBLF Special episode offers a glimpse into an upcoming HKU Fintech documentary on advancing financial inclusion through finance, technology, regulation, and sustainability.

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AI in Finance: Disrupting the Industry
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AI in Finance: Disrupting the Industry

In this episode of Looking Back, Looking Forward, Professor Douglas Arner explores the impact of ChatGPT and generative AI on finance. He traces the historical adoption of AI in areas such as securities trading, payments, asset management, risk management, and compliance. Factors like increased computing power, data availability, and algorithm advancements have fueled the rapid development of AI in finance. He highlights the transformative nature of ChatGPT and its ability to interface with diverse data sources, including proprietary models and institutional data. He discusses macro and micro regulatory concerns, such as the impact on employment, discrimination, and accountability. He also highlights that existing regulatory frameworks and explainability systems address these concerns, ensuring transparency and responsibility. Data and human rights laws, like GDPR, also influence AI use in finance. Despite challenges, Professor Arner underscores the immense transformative potential of generative AI systems in finance as well as the maximum value people can get from data and analytics. Further Reading: Artificial Intelligence in Finance: Challenges, Opportunities and Regulatory Developments edited by Nydia Remolina and Aurelio Gurrea-Martinez - https://www.amazon.com/Artificial-Intelligence-Finance-Opportunities-Developments/dp/1803926163 Topic Guide: 0:00 Introduction 0:19 ChatGPT and Generative AI in Finance 1:20 Securities Trading: Automation and AI in Action 3:17 Payments and Fraud: Enhancing Security and Efficiency 4:15 Asset Management: The Rise of Robo Advisory Services 4:49 Risk Management, Compliance, and More: AI Applications in Finance 6:18 Factors Driving AI Development in Financial Services 7:39 The Transformative Power of ChatGPT in Finance 9:57 Macro and Micro Regulatory Considerations 11:14 The Role of Explainability Systems in Addressing Concerns
LBLF Season 3
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