Retailers Are Quietly Deploying Controversial Technology To Combat Crime Spree | Forbes sh technology

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Macy’s and a dozen other large retailers are quietly using controversial facial-recognition technology to fight a rise in smash-and-grab robberies and other coordinated attacks. It’s part of a larger push to turn retailers’ existing security cameras — those ubiquitous black gadgets that produce thousands of hours of mostly useless footage — into a more sophisticated artificial-intelligence surveillance system, capable of automatically identifying people, license plates and other information that can be used to alert store employees of unfolding threats and ultimately prosecute offenders. The technology has new appeal at a time when theft and violence is on the rise, particularly from organized crime groups that steal millions of dollars in merchandise and then sell the products online. Organized retail crime has risen by 60% since 2015, according to the National Retail Federation, with nearly 70% of retailers reporting an increase in 2021. As much as $69 billion worth of products are stolen from the nation’s retailers each year, or 1.5% of sales, according to estimates from the Retail Industry Leaders Association and the Buy Safe America Coalition. A record 523 people were killed during robberies and other violent retail incidents in the US in 2020, including 256 customers and 139 employees. This month, the federal government charged 29 people with stealing $10 million in over-the-counter medicine and other items from Walmart, Costco, CVS, GNC and others, then reselling the products on sites like Amazon and eBay. Facial-recognition technology is controversial because research has shown it’s often inaccurate when identifying people of color and women. The worst technology has an error rate of up to 35% when scanning darker-skinned women, but less than 1% with lighter-skinned men, according to one research report. The reason? Early versions of the algorithms were trained using images of celebrities that skewed white and male. Companies have been working to address the racial bias, and between 2014 and 2018, facial-recognition software got 20 times better at searching a database to find a matching photograph, according to the National Institute of Standards and Technology. However, as of 2019, the government found that some software still misidentified African-American and Asian people 10 to 100 times more often than white men. Read the full story on Forbes: Subscribe to FORBES: Stay Connected Forbes newsletters: Forbes on Facebook: Forbes Video on Twitter: Forbes Video on Instagram: More From Forbes: Forbes covers the intersection of entrepreneurship, wealth, technology, business and lifestyle with a focus on people and success. ,

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Retailers Are Quietly Deploying Controversial Technology To Combat Crime Spree | Forbes

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Retailers Are Quietly Deploying Controversial Technology To Combat Crime Spree | Forbes
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आप यहां बहुत सारी उपयोगी जानकारी देख सकते हैं।: यहाँ और देखें
आप यहां बहुत सारी उपयोगी जानकारी देख सकते हैं।: यहाँ और देखें

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15 comments

SmallAxe 22/02/2022 - 2:00 Sáng

Or you could simply prosecute thieves accordingly. Fines, jail time, no trespassing. 99% of these people are not stealing food. Stop feeling sorry for criminals.

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C m 22/02/2022 - 2:00 Sáng

It isn't "AI", it's ML, or even just simple algorithms.

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Nir 22/02/2022 - 2:00 Sáng

as a brown skinned..i'm proud of the machine for only detecting whites..W racist machine

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OneRockGroup 22/02/2022 - 2:00 Sáng

this is hilarious so its easy to identified white people lol no wonder my white friends are afraid of the law.

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Sylas Coker 22/02/2022 - 2:00 Sáng

A lot of people in the comments feeling some type of way about the racial biases these systems bring up in their evaluations, maybe instead of commenting borderline racist comments actually listen to what the video actually says and the arguments it brings up. For example the system is biased as most of the data actually comes from systems already installed in lower income neighbourhoods which envelope races such as Black, Asian, Mexicans and white, so therefore systems installed in higher income neighbourhoods will target minorities in the neighbourhood because it’s the data it’s been given from the lower income neighbourhoods which by all means is a terrible way to deploy technology.

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coolinspire funnybook 22/02/2022 - 2:00 Sáng

america decision to banned face recognition in the name of protecy privacy is so bullshit coz actually it can do more good for society such as lowering crime.

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Harakah 22/02/2022 - 2:00 Sáng

Why controversial?
They lose millions due to theft every month

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Mary Fox 22/02/2022 - 2:00 Sáng

BLM mm mm mm watcha gonna do

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austin mejia 22/02/2022 - 2:00 Sáng

Here come people crying about racial profiling

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@im.not.typical 22/02/2022 - 2:00 Sáng

Good! Can't stand thieves. I wish we could semi permanent tattoo them as thieves

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Mathieu Riesling 22/02/2022 - 2:00 Sáng

My god the problem is staring right at you yet you overlook it. You are actually hurting us and not helping us with this dishonesty or maybe you are just that stupid. Many more Quintez Brown's will be created all because of your refusal to actually conduct proper journalism.

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Людмила Кириленко 22/02/2022 - 2:00 Sáng

ytx7ob

vom.red

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WastelandWanderer 22/02/2022 - 2:00 Sáng

Wet them up problem solved.

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Robert Harris 22/02/2022 - 2:00 Sáng

Having a more equitable economic system would help.

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ORF 22/02/2022 - 2:00 Sáng

If prosecuters did their job retailers wouldn't have to do anything different

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