Food Protection Trends - November/December 2020 - 467

iii. Data inaccuracy. All data must undergo some type of
clean or verification testing to ensure they are accurate
and representative of what they are measuring.
iv. Regulatory requirements. Relatively new food
safety laws and regulations in many countries allow
government inspectors to have access to all food safety
and quality data, including that generated as the result of
using AI.
v. Liability. The liability of the AI processed data is
important. Does the use of AI technology create a larger
liability burden for a company related to its food safety
and quality programs? Similarly, what is the impact
related to liability insurance companies agreeing to insure
food manufacturing companies using AI as a tool?
vi. Trust. Is the food manufacturer's senior management
willing to trust a food safety and quality-related
prediction from a software algorithm instead of a human?
The future outlook for AI for food safety and quality
Hybrid models of AI application can be the best
tools for improving food safety and quality programs
for food manufacturers by using internal and external
data points collected from many sources and then
integrating and analyzing them to predict the likelihood

of unfavorable food safety events. The application of AI
with human instinct and experience from internal and
external inspectors, auditors, and food safety and quality
professionals will support detection, preventive action, and
identification of risk factors, recognizing that food safety
and quality professionals and company senior management
retain the ultimate responsibility for making the right food
safety and quality decisions.
CONCLUSION
With the government and food industry focus on
prevention of foodborne illness, having predictive tools that
can identify when the food safety and quality risk has crossed
the acceptable threshold is a necessity (6, 15). Food safety
is considered a high-risk operation by the U.S. Government
Accountability Office, the investigative arm of the U.S.
Congress (12).
The industry is taking small steps toward addressing
key issues using AI-powered solutions, but there is a long
way to go before this tool becomes a routine part of a
food manufacturer's food safety and quality program. AI
technology is available today and has proved its value in other
industries, such as medicine, so the time to use it in the food
safety and quality arena is now.

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Food Protection Trends - November/December 2020

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