IJCA Vol 4 i1 2025 webmag - Flipbook - Page 41
2025 | Volume 4, Issue 1
In measurement science, AI is revolutionizing data
acquisition and analysis. Advanced AI models
can re昀椀ne measurement uncertainty calculations,
improving con昀椀dence levels in scienti昀椀c experiments.
AI-enabled virtual metrology systems offer real-time
data analysis and corrections without interrupting
production lines, signi昀椀cantly improving e昀케ciency in
semiconductor manufacturing and nanotechnology
applications.
The Pros and Cons of AI in Metrology and
Conformity Assurance
As AI continues to evolve, its impact can be seen
across all aspects of quality and measurement.
Below are some of the primary advantages and
disadvantages of AI in these 昀椀elds:
Pros of AI:
1. Operational Ef昀椀ciency: AI operates at peak
e昀케ciency, surpassing human capabilities in data
analysis, pattern recognition, and repetitive task
completion.
2. High Precision: AI minimizes errors in complex
calculations and enables real-time, high-accuracy
decision-making.
3. Speed and Scalability: AI processes vast amounts
of data at unmatched speeds— delivering insights
in seconds that would take humans hours or even
days.
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4. Widening Inequality: AI often bene昀椀ts
organizations with greater technological access,
increasing the gap between tech-enabled and
resource-limited entities.
5. Cybersecurity Exposure: Despite its role in
enhancing security, AI systems are themselves
vulnerable to adversarial attacks and sophisticated
hacking, posing risks to critical infrastructure.
AI Applications Across Industries
AI is making signi昀椀cant contributions to a wide
range of sectors beyond metrology and conformity
assurance:
• Automotive: AI-powered vision systems enhance
manufacturing e昀케ciency and enable early defect
detection, as demonstrated by BMW's AI-driven
quality inspection processes.
• Healthcare: AI-driven imaging technologies
support early diagnosis and personalized
treatment planning.
• Aerospace: AI is used to improve predictive
maintenance of aircraft components, helping
companies like Boeing minimize unplanned
downtime.
• Pharmaceuticals: Companies such as P昀椀zer
leverage AI to strengthen risk-based conformity
assessments to meet FDA compliance standards.
4. Innovation Enablement: AI drives innovation,
transforming industries and supporting solutions
once thought unattainable.
Additional examples of AI applications in metrology—
including virtual metrology tools, AI-driven
microscopy, and computed tomography—are provided
in Appendix B.
5. Enhanced Security: AI strengthens cybersecurity
by using advanced algorithms to detect and
respond to threats with increased precision.
The Present: AI’s Role in Metrology and Quality
Assurance
Cons of AI:
1. Job Replacement Risks: Automation through AI
poses a signi昀椀cant threat to employment, with
estimates suggesting 400 million to 800 million
jobs could be automated by 2030. Sectors such as
manufacturing, transportation, and retail may be
most affected,
2. Privacy Concerns: AI’s reliance on large-scale data
collection raises serious privacy issues, including
the risk of misuse, surveillance, and data breaches.
3. Over-Reliance and System Vulnerability:
Dependence on AI can introduce systemic
vulnerabilities, with the potential for catastrophic
outcomes if systems fail or are compromised.
To illustrate how arti昀椀cial intelligence is rede昀椀ning
precision measurement and conformity assessment,
the following 昀椀ve case studies highlight innovations
from global industry leaders:
Case Study 1: GE Aviation (United States) – AIPowered Vision Systems for Jet Engine Component
Inspection
Company: GE Aviation
Application: Manufacturing jet engine components
Challenge:
GE needed a faster and more accurate method for
inspecting high-precision turbine parts. Traditional
dimensional checks were slow and susceptible to
error.
