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Southern New Hampshire University *
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Mechanical Engineering
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Dec 6, 2023
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1
5-2 Assignment
Jeff Routson
Southern New Hampshire University
DAT-260
Dr. Anthony Sulpizio
09/30/2023
2
The industry that I know the best and have spent the majority of career involved in, is the
engineering, research, and development of HVAC products. For this assignment I will explore
the way artificial intelligence (AI) and machine learning (ML) will impact and change this
industry.
Currently, the use of machine learning and artificial intelligence within my selected
industry is gaining more traction as each day passes. Specifically, AI and ML algorithms are
currently being used to design and optimize mechanical systems, also simulations are leveraged
to analyze and forecast performance, identify potential issues, and suggest changes [ CITATION
Ara22 \l 1033 ]. Today AI/ML eases challenges within the design process, decreases test time to
prove concepts with the use of simulation models, and helps identify weaknesses in designs
earlier, allowing for faster response time to correct issues.
In my opinion as the use and understanding of AI and ML continues to grow and the
technology advances, we will see changes within the engineering R&D industry. Most notably, I
believe an increase in productivity and efficiency will be seen. AI and ML can perform tasks at a
pace humans are not capable of, such as forecasting, predictions, and the processing of massive
amounts of data [ CITATION CGC23 \l 1033 ]. Another benefit is the ability of AI/ML to
identify current and potential pain points. This identification will allow these issues to be
remedied before they become actual problems and a faster and more agile response to problems
that do arise.
AI/ML offers many benefits in terms of increased efficiency for engineering R&D. Task
automation, improved quality, improved designs, and cost reductions are benefits of the
implementation of AI/ML [ CITATION Ski231 \l 1033 ]. Many fear that with these process
improvements the elimination of existing jobs will take place, according to experts the use of
3
AI/ML will cause the creation new jobs within the engineering field [ CITATION God23 \l
1033 ]. While some industries (especially those involving unskilled labor) will see job
eliminations due to AI/ML, this will not be the case with engineering. Increased productivity,
more and better tools to complete tasks from AI/ML use will benefit engineering R&D
employees working conditions, work life balance, and overall workload.
The main potential threats that must be considered with the adoption of AI/ML are data
privacy, data poisoning, and model extraction [ CITATION Art23 \l 1033 ]. For the engineering
industry a chief concern would be the protection of sensitive data such as intellectual property,
patents, designs, algorithms, and forecasting models. An organization will have to ensure proper
security measures are in place and assess their own risk tolerance as the use of AI/ML increases
within engineering R&D.
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References
Artificial Intelligence/Machine Learning Risk & Security Working Group. (2023, October 1).
Wharton University of Penn
. Retrieved from AIAB Wharton:
https://aiab.wharton.upenn.edu/research/artificial-intelligence-risk-
governance/#:~:text=Most%20of%20the%20known%20potential,organization's%20risk
%20posture%20and%20controls.
CGC. (2023, October 1).
Will Mechanical Engineering be replaced by AI?
Retrieved from CGC:
https://www.cgc.ac.in/blog/will-mechanical-engineering-be-replaced-by-ai#:~:text=The
%20future%20of%20AI%20and,making%20predictions%20about%20the%20future.
Makalesi, A. (2022). Applications of Artificial Intelligence in Mechanical Engineering.
European Journal of Science and Technology
, 159-163.
Skill Lync. (2023, April 19).
Applications of Machine Learning and AI in Mechanical
Engineering
. Retrieved from Skill Lync: https://skill-lync.com/blogs/technical-
blogs/design-applications-of-machine-learning-and-ai-in-mechanical-engineering
Stephen, G. T. (2023, March 9).
Will AI take away the jobs of mechanical design engineers?
Retrieved from LinkedIn: https://www.linkedin.com/pulse/ai-take-away-jobs-mechanical-
design-engineers-thottungal-stephen/
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