NLS Workshop on Enhancing Consumer Grievance Redressal through Large Language Models Saturday, March 16, 2024, 11:00 am

The National Law School of India University (NLSIU), in collaboration with the Indian Institute of Technology Bombay (IIT Bombay), is hosting an online workshop on ‘Enhancing Consumer Grievance Redressal through Large Language Models (LLMs).’ This event is scheduled for Saturday, March 16, 2024, from 11:00 am to 1:00 pm.

Background

In November 2023, the National Law School of India University, with support from Meta, announced a new research project in the field of generative AI and legal system reforms. This project aims to explore how large language models (LLMs) can enhance the efficiency of India’s consumer grievance redressal system. The project will be executed along with the Indian Institute of Technology Bombay (IIT Bombay), and in collaboration with the Department Of Consumer Affairs (DoCA) as the knowledge partner.

In this project, we will use Llama 2, Meta’s publicly accessible large language model, to develop and test a citizen-focused chatbot and a decision-assist tool in consumer law. The chatbot’s purpose is to streamline consumer complaint procedures and provide answers to consumer law queries in India. The decision-assist tool, also a part of this research, aims to facilitate the search and summarization of case laws, offering support to judicial authorities in consumer affairs. The project will be anchored with the Chair on Consumer Law and Practice (CLAP).

About the Workshop

The workshop will discuss the possibilities and challenges of using LLMs for the purpose of consumer grievance redressal in India. In particular, the workshop will discuss:

• Innovative Use of LLMs in the Legal Sector: Exploring the transformative potential and the hurdles.
• Benchmarking LLMs for Legal Tasks: Analysis of current LLMs’ performance in legal applications.
• The Consumer Law Chatbot Initiative: Key elements in designing a custom chatbot from open source LLM models.
• Mapping and Developing a Training Corpus for Consumer Landscape: Strategies for crafting an exhaustive and effective dataset.
• The Imperative for a Consumer Needs Survey: The need to identify and bridge service gaps.
• Lessons from the Adoption of LLMs in Other Industries

This workshop aims to foster a collaborative dialogue among professionals and academics working at the confluence of AI, law, and consumer rights. Your expertise and insights would be invaluable to shaping the future direction of the project.