Invited Speaker

Prof. Danushka Bollegala - University of Liverpool

• Talk Title: Leveraging Large Language Models for Fair and Transparent Legal Decision-Making

• Abstract: Large Language Models (LLMs) like GPT-4, LLaMA, and Gemini have demonstrated remarkable capabilities across a wide range of tasks, often exceeding human-level performance in specific domains. For instance, GPT-4 achieved a top 10% score on the U.S. Unified Bar Exam, highlighting its potential in the legal domain. However, the use of LLMs in legal decision-making introduces critical challenges, including the need to detect and mitigate social biases and ensure transparent, human-understandable explanations. In this talk, Danushka Bollegala will present ongoing research from my lab at the University of Liverpool, focusing on the intersection of AI and law. Specifically, he will discuss methods for identifying and addressing social biases in legal contexts and the role of LLMs in promoting equitable and explainable legal outcomes.

Dimitrios Ioannidis - Roach, Ioannidis & Megaloudis, LLC

• Talk Title: Why Invest in Legal Platforms that Utilize AI?

• Abstract: The presentation will center on the latest legal cases in the USA related to AI, how the US Courts are handling the preliminary matters on Generative AI, and then discuss the venture capital funding in Legal startups and explain the shift in our profession and what the future holds. Why does AI matter more to Lawyers than most other industries?

Prof. Jyh-Shing Roger Jang - National Taiwan University

• Talk Title: Transforming Financial Services with AI: Applications, Challenges, and Future Directions

• Abstract: This talk will explore the pivotal role of artificial intelligence in financial institutions and the challenges it must overcome. We will present examples of AI applications in the financial sector, including decision-making AI technologies, such as check image recognition, credit card fraud detection, automated property valuation, and ID card OCR, as well as generative AI solutions, such as legal credit reports, chatbots, knowledge management systems, and ATM image analysis. Additionally, we will delve into critical topics like data governance, model maintenance, and federated learning for cross-bank collaboration. These elements are essential for ensuring the successful implementation of AI technologies in real-world financial scenarios.

Dr. Xiao-Yang Liu - Columbia University

• Talk Title: Towards Professional Readiness of LLMs in Financial Regulations

• Abstract: In this talk, Xiao-Yang Liu will showcase their FinGPT — an open-source counterpart of BloombergGPT, on financial regulations. In particular, the team's two-year efforts on benchmarking financial large language models, with a zooming in Financial Regulations. He will also share ongoing projects in GenAI Research on Open Finance at Columbia University.