Engineering Ethics in the Age of AI
This online engineering CPD course examines how professional engineers should apply the ethical canons established by different organizations, such as the National Society of Professional Engineers (NSPE), when using AI-assisted technologies.
Artificial intelligence (AI) is increasingly integrated into engineering workflows, influencing analysis, modeling, drafting, design generation, simulation, and decision support. These tools extend analytical capability in ways that were impractical even a decade ago. However, the use of AI does not replace the professional judgment, legal accountability, or ethical obligations of the licensed engineer.
This course addresses the practical responsibilities that arise when AI systems influence engineering analysis and design. They include verifying automated outputs, maintaining human oversight, documenting AI-assisted workflows, and managing professional risk in environments where computational tools operate faster, and at greater scale than any individual engineer can directly supervise.
This 2 CPD online course is applicable to all engineers, as well as other technical professionals who are interested in learning more about using AI technologies within engineering workflows.
This PE continuing education course is intended to provide you with the following specific knowledge and skills:
- Identifying licensed engineers’ responsibilities when using AI tools, regardless of the technology involved
- Explaining how established engineering ethics codes (NSPE, ASCE, ASME, IEEE) apply to AI-assisted engineering practice
- Describing engineers’ verification obligations for AI-generated outputs, including order-of-magnitude checks, sensitivity analysis, and cross-verification with traditional methods
- Recognizing automation bias and applying structured independent judgment when reviewing AI-generated results
- Understanding the documentation and traceability requirements for AI-assisted engineering workflows
- Identifying the professional liability, data confidentiality, and intellectual property risks associated with the use of commercial AI platforms
- Applying ethical principles to organizational AI governance, including tool approval, internal controls, training, and quality management
- Analyzing real-world case studies (Boeing 737 MAX, IBM Watson for Oncology, Samsung Electronics) to draw lessons applicable to engineering AI use
In this professional engineering CEU course, you need to review the course document titled, “Engineering Ethics in the Age of AI”, which is prepared by Jeelan Moghraby.
Once you complete your course review, you need to take a multiple-choice quiz consisting of ten (10) questions to earn 2 CPD credits. The quiz will be based on the entire document.
Upon successful completion of the quiz, print your Certificate of Completion instantly. (Note: if you are paying by check or money order, you will be able to print it after we receive your payment.) For your convenience, we will also email it to you. Please note that you can log in to your account at any time to access and print your Certificate of Completion.