A Hands-On Introduction to Large Language Models for Fairness, Accountability, and Transparency Researchers

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!

Grab it

Gain hands-on experience with large language models (LLMs) in this comprehensive tutorial designed for researchers focusing on fairness, accountability, and transparency. Explore the fundamentals of LLMs and their applications in ethical AI research over the course of 1 hour and 36 minutes. Delve into practical exercises and case studies that demonstrate how to leverage these powerful tools to address critical issues in responsible AI development and deployment.

Syllabus

Tutorial 11: An Introduction to LLMs for Fairness, Accountability, and Transparency Researchers

Taught by

ACM FAccT Conference

Reviews

Start your review of A Hands-On Introduction to Large Language Models for Fairness, Accountability, and Transparency Researchers

Taught by

Responsible AI - Principles and Ethical Considerations

Building Production-Ready Apps with Large Language Models

Decoding the Law - What Will Large Language Models Mean Under the Law?

Toward a Theory of Race for Fairness in Machine Learning

Responsible AI in Industry - Lessons Learned in Practice

Generative AI Meets Responsible AI - Practical Challenges and Opportunities

Never Stop Learning.