Ensure the Ethical Use of LLMs in Data Projects
Navigate the complexities of ethically using LLMs in data projects. This course will teach you to identify biases, implement responsible practices, and engage stakeholders effectively.
What you'll learn
In the rapidly evolving field of AI, the ethical use of Large Language Models (LLMs) in data projects presents a critical challenge. With the increasing reliance on LLMs for decision-making and content generation, there's a growing concern about biases and their societal impacts.
In this course, Ensure the Ethical Use of LLMs in Data Projects, you will learn to implement LLMs responsibly and ethically in various data-driven projects.
First, you’ll explore the ethical dimensions and inherent biases of LLMs. This includes understanding how biases manifest in LLM-generated content and decisions and the potential societal impacts of these biases.
Next, you’ll discover practical strategies for detecting and mitigating biases in LLMs.
Finally, you’ll learn how to effectively engage with stakeholders and communicate the ethical considerations of LLMs.
When you’re finished with this course, you’ll have the skills and knowledge of ethical LLM implementation needed to ensure responsible and fair use of these powerful tools in your data projects.
Table of contents
About the author
Kesha Williams is an award-winning technology leader with 25+ years of experience in tech. She's passionate about hands-on building and developing the next generation of leaders. She's versed in Java, AI/ML, and AWS and shares her knowledge with thousands of engineers around the globe through authoring courses, speaking at conferences, and writing technical blog posts.