AIML05 - Ethics of A.I.
1024606
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Program Description
This course explores ethical issues in A.I., 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 A.I. use.
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 A.I. technologies and how those components create unique applications and risks.
- Identify key ethical inquiries surrounding machine learning technologies, emphasizing the unique considerations of generative A.I. models.
- Assess the ethical complexities and potential pitfalls of A.I. 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 A.I. implementation.
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