Topic outline

  • Engineering Ethics: In the Age of Artificial Intelligence Technologies

    Credits: 3 PDH

    PDH Course Description:

    This course examines how professional engineers should apply the ethical canons established by professional organizations, such as the National Society of Professional Engineers (NSPE), when using AI-assisted technologies in professional practice.

    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: 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. Case studies drawn from documented engineering practice and adjacent technical fields illustrate how the profession's core ethical principles apply when automated systems are part of the analytical process.

    Topics:

    Upon successful completion of this course, participants will be able to:
    • Apply established engineering ethical canons when using AI tools in professional practice.
    • Recognize the continuing professional responsibility of licensed engineers for all AI-assisted engineering outputs.
    • Identify ethical risks associated with automated design and AI-generated analytical results.
    • Apply verification and validation procedures for AI-assisted engineering analysis.
    • Document AI-assisted design methods in a transparent and professionally accountable manner.
    • Analyze the liability and risk management implications of AI use in engineering workflows.
    • Integrate professional ethical frameworks into AI-supported engineering practice at the individual and organizational level.

    To take this course:

    1.) Enroll in Course: Click below to enroll:
    (must be logged into your user account)


    2.) Study: Once enrolled, click below to begin the course:

    Download the Study Guide

    3.) Test: Once you've thoroughly read the course materials, please click below to take the final examination.

    Take the final exam

    4.) Certificate: A passing grade of 70% or higher on the exam, is required to receive the certificate of completion for this PDH course.
         NOTE: After the exam is completed, you will need to return to this page, in order to print (download) the certificate of completion.

    Print the Certificate of Completion

    Intended Audience: This course is intended for licensed professional engineers across disciplines including civil, structural, environmental, electrical, mechanical, aerospace, geotechnical, industrial, and systems engineering., as well as engineering professionals who use or anticipate using AI technologies within engineering workflows. The course is particularly relevant for engineers involved in computational modeling, simulation, design automation, digital engineering environments, and AI-assisted analytical systems.
    Publication Source: MondoScience Courseware

    Jeelan Moghraby, PhD., MBA

    • Topic 1