Engineers and Geoscientists BC
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Using AI in Professional Engineering and Geoscience Practice

Date(s):
Tuesday, May 7, 2024
11:45 AM-12:00 PM Pacific time: Registration and Login
12:00 PM-1:30 PM Pacific time: Webinar
Format:
Webinar
Status:
Active

Eligible for 1.5 CE Hour(s) of Technical Learning

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This webinar will NOT be recorded.

Event Details


Cost

Free

Contact

Jennifer Wu | Continuing Education Coordinator
Direct: 236.521.9709
Toll Free: 1.888.430.8035 ext.9709
Email: [email protected]

Event Presenter(s)


Amy Fehr, P.Eng. (she/her)

Manager, Professional Practice Advice Program
Professional Practice, Standards & Development Department, Engineers and Geoscientists BC 

As Manager of the Professional Practice Advice Program, Amy is responsible for overseeing a team that assists registrants with professional practice-related issues. This includes practice advice services, practice guideline development, advisory group support, and external party engagement regarding practice issues that affect registrants. 

Ms. Fehr is a registered professional engineer with experience in various fields related to civil engineering. She holds a Bachelor of Science in Civil Engineering from the University of Saskatchewan. She spent over 15 years as a consulting engineer performing roles related to structural engineering, hydrotechnical engineering, and quality management before joining Engineers and Geoscientists BC in 2017. Her background in consulting gives her a solid understanding of many practice issues facing registrants and allows her to bring an efficient and constructive approach to her work. 

 

Simon Diemert, M.Sc., P.Eng.

VP of Engineering, Critical Systems Labs

Simon Diemert is the VP of Engineering at Critical Systems Labs, a Vancouver-based engineering firm specializing in safety and security-critical systems. He has experience working with software-intensive systems in the automotive, marine, health, and rail sectors. He also leads the development of tools to support the engineers working with critical systems, most recently Critical Systems Labs’ Socrates – Assurance Case Editor tool. Simon is one of three co-authors of Engineers and Geoscientists BC's Professional Practice Guideline on the Development of Safety-Critical Software and has been a member of Engineers and Geoscientists BC's Software and High-Technology Advisory Groups since 2019. He is currently pursuing a Ph.D. in Computer Science at the University of Victoria and holds previous degrees in Software Engineering and Computer Science. Simon is a registered Professional Engineer (P.Eng.) with Engineers and Geoscientists of British Columbia.

Simon’s professional and research activities involve work with machine learning and artificial intelligence enabled systems in different industries. For instance, he led the analysis of autonomous vehicle sensing and perception systems, which depend on machine learning models to identify objects such as pedestrians and vehicles. Simon is also participating in several research initiatives related to the application of Generative AI models to engineering tasks.
 

Kirk Richardson, AScT, EIT

Kirk Richardson is an Electrical Engineer and Technologist with over 12 years of experience in various high-tech industries, including marine, renewables, and entertainment. He has held various technical roles, including consultant, product designer, and product line manager, specializing in embedded electronics, mechatronics, systems, and product development. 

He has taught as an Adjunct Professor within the Integrated Engineering department at UBC, co-teaching their third-year capstone project course for multiple years.

Kirk has been a member of Engineers and Geoscientists BC's Software and High-Technology Advisory Groups since 2019 supporting the development and review of practice guidelines. He has utilized various AI support tools in the area of electronics and software in past projects and continues to evaluate the addition of these tools into the workflow of current projects. 

 

Matt Murdoch, P.Eng.

Director of Program Management, EarthDailyAnalytics (EDA)

Matt Murdoch, P.Eng. is currently the Director of Program Management at EarthDaily Analytics (EDA) responsible for managing software and space projects. EDA is a Vancouver-based vertically integrated software and analytics space company developing world-first technologies in data services, satellite processing, machine learning, and actionable insights. Matt completed his B.Eng at UVic in Computer Engineering, holds his PMP, and is a certified career coach. Matt has nineteen years of experience as a software engineer, technical lead, and program manager in the fields of earth observation systems and high-definition video surveillance. Matt has also successfully led teams from start to finish on several multi-million dollar projects at MDA Corporation, Avigilon, UrtheCast, and EarthDaily Analytics. 

About the Event


Recent advances in Artificial Intelligence (AI) have resulted in a wide range of new applications, including some that impact the practice of geoscience and engineering in British Columbia. AI-based technology has potential to enable new types of engineered systems and to enhance productivity. Indeed, practitioners might already depend on AI-based technologies as part of their work. However, the risk associated with the use of AI is not fully understood. Therefore, engineers and geoscientists should exercise caution when relying on these technologies, especially for making critical decisions.
 

Seminar Description

This webinar will provide foundational knowledge to engineers and geoscientists about AI-based technologies, with a focus on AI-based tools used in professional work. The webinar will equip participants with a framework for understanding the risk that AI-based tools might pose and mitigation strategies. The webinar will include a set of practice-oriented examples that describe a use case for an AI-based tool, the associated risks, and potential mitigations.
 

Objectives

By the end of the webinar, participants will be able to:
  • Differentiate between the use of AI as a tool to support engineering work versus AI as a component of a deployed system.
  • Describe different types of AI algorithms and their potential use cases as part of larger tools or systems.
  • List important characteristics of AI-based technology (trustworthiness, privacy, repeatability, sensitivity, etc.)
  • Identify sources of risk arising from the use of AI-based technology in engineering and geoscience projects.
  • Describe a range of mitigations that can be used to manage risk related to AI-based technology. 
  • Describe strategies for managing risk related to AI-based technology in engineering and geoscience organisations.
 

Target Audience

This webinar is focused mainly on AI as a tool to support engineering and geoscience work. This webinar is broadly applicable to engineering and geoscience professionals who are interested in incorporating AI-based tools and technology into their practice. No prior knowledge or experience in computer science or AI is required.