生態学および毒性学ジャーナル

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AI Mogul ? From Theory to Application: Using AI to Deploy Tactical Solutions for Pollution Control

Sarah Sajedi

Research into pollution control and sustainable manufacturing
has discovered innovative new approaches and
ideas – but there remains a barrier between transforming
academic theory into applicable practice that is scalable
and practical. Artificial Intelligence and automation,
the next frontier of technology, have enormous potential
for pollution control and sustainable development.
AI Mogul is a purpose-built tool for academic and scientific
researchers to develop technology solutions that
activate their research into actionable processes using an
AI engine to automate the necessary logical processes, calculations,
data relations, group controls, and data management.
Born out of scientific research into pollution
prevention and emissions reporting done alongside Canada’s
National Research Council, AI Mogul is a platform
designed by scientists to allow scientists to create cloudbased
software applications and mobile applications that
deploy theory as tangible outcomes. Presentation will introduce
the framework through which AI Mogul is able
to operate, the types of logic processes that can undergo
automation, practical applications for pollution control,
and case studies of the application at work in industry
sectors including: waste container tracking for hazardous
chemicals; chemical inventory auditing to assess for
chemical hazards and required Safety Data Sheets; automated
approval/disapprovals for chemical mixing and creating
chemical containers; chemical movement tracking
between laboratories and/or between climate-controlled
storage areas. Demonstration of how academics and scientific
researchers in the pollution control, sustainable
development, and natural sciences fields can easily shift
from research to solution which can be broadly deployed.