This course explores ethical issues in AI, focusing on generative models like large language models (LLMs). Participants gain a non-technical understanding of machine learning’s power and ethical implications, preparing engineers for responsible AI use.

Dates: Spring 2025
Time: 9–11 a.m.
CEUs: 0.4 | PDHs: 4 | Price: $189
Location: Online Synchronous
Instructor: Dr. Andrew McAninch

Who Should Attend
Professional engineers at any stage of their careers including:

• Entry level
• Leaders
• Decision makers at the highest levels
• Individuals interested in learning about the topic

Learning Objectives

• Describe the basic components of modern AI technologies and how those components create unique applications and risks.
• Identify key ethical inquiries surrounding machine learning technologies, emphasizing the unique considerations of generative AI models.
• Assess the ethical complexities and potential pitfalls of AI technologies within the context of engineering or business environments.
• Articulate and apply ethical principles to proactively address ethical concerns and challenges in professional practice related to AI implementation.