ploying more resources to zones where
the health code is already the most
stringently enforced. To the contrary, we
might want to deploy resources to areas
where the health code is underenforced
due to inspector lenience.
Third, there is considerable debate
about whether health code violations
predict foodborne illness outbreaks.
One study in King County found an
association between violations and
outbreaks, 29 but studies in Miami-
Dade County and in Tennessee found
none. 30, 31 Part of the explanation for
such mixed findings is that inspectors
may not conceive of their role as mind-
less checklisting, but rather as identify-
ing the greatest health risks that can be
remediated. As one scholar wrote, “If
all meat-inspection regulations were
enforced to the letter, no meat proces-
sor in America would be open for busi-
ness...[T]he inspector is not expected to
enforce strictly every rule, but rather to
decide which rules are worth enforcing
Last, crafting enforcement based
on social media can set up perverse
incentives. Users and competitors, for
instance, can submit suspicious terms to
trigger health inspections, without the
procedural and scientific protections of
health department screenings of com-
plaints. Health department reporting
systems typically build in the systematic
collection of symptoms and food histo-
ries to facilitate investigation, which is
lost through unstructured speculation
on social media.
Fairness Is Still a Challenge
One of the emerging areas of con-
cern is that algorithms, rather than
addressing human bias, can encode
it. Google searches are systematically
more likely to turn up advertisements
of criminal records for black-sounding
names (e.g., Latanya) than for white-
sounding names (e.g., Allison). 32 Gender
prediction based on facial recognition
technology is prone to error for darker
skin tones. 33 And there are serious ques-
tions about bias with criminal risk as-
sessment scores used for pretrial deten-
tion and sentencing. 34 In the food safety space, the leading paper used words such as
“Vietnamese” and “Chinese” to infer that an establishment was dirty and words like
“Belgian” and “European” to infer that an establishment was clean. 15
Bias can be more subtle too, stemming from lack of representativeness in the
data. Recall the shortcoming of GFT: The lack of Google search terms in the poor
regions of the developing world made it useless where its need was most vital.
Another example comes from Virginia Eubanks, who documents that the risk for
child welfare determinations in Allegheny County may import bias because much
of the data come from social welfare programs, such as Temporary Assistance for
Artificial Intelligence and Food Safety
AI in Security Systems: Innovations to Help Food
The introduction of intelligent video surveillance with artificial
intelligence (AI) applications has vastly improved the way security is
managed and used. Breakthrough security technologies present a suite of
features that can be an integral part of a good food defense plan.
Before now, food manufacturers deployed access control and video
surveillance as a security measure only, without any consideration for food
regulatory requirements or good working practices.
Food manufacturing companies can think differently about their security
systems. It is now possible to deploy physical security that will also provide
an additional tier of confidence for the Food Safety Modernization Act
intentional adulteration and compliance mandates. Our solution offers:
• Seamless integration between security systems
and the food production lines.
• Self-learning video analytics with a directory of
event and warning notifications.
• Appearance search to indicate unknown
persons at internal and external areas.
• Flexible configurations for workflow routines,
access levels, and integrated video feeds.
• License plate recognition and improved
security automation for transport and logistics
• New security projects to include specific design
emphasis for the food industry.
• Upgraded systems to provide additional
intelligent features that work for food
The operation and functionality of a security system’s performance will
improve with superior video quality and enterprise-level access control.
Find out more on how your systems can be working better for you.
Contact ivelah, your security expert that understands food.
www.ivelah.com/ • email@example.com • 1.800.216.0805