Three years ago in Detroit, Robert Williams arrived home from work to find the police waiting at his front door, ready to arrest him for a crime he hadn’t committed.
Facial recognition technology used by officers had mistaken Williams for a suspect who had stolen thousands of dollars worth of watches.
The system linked a blurry CCTV image of the suspect with Williams in what is considered to be the first known case of wrongful arrest owing to the use of the AI-based technology.
The experience was “infuriating”, Mr Williams said.
“Imagine knowing you didn’t do anything wrong… And they show up to your home and arrest you in your driveway before you can really even get out the car and hug and kiss your wife or see your kids.”
Mr Williams, 45, was released after 30 hours in custody, and has filed a lawsuit, which is ongoing, against Detroit’s police department asking for compensation and a ban on the use of facial recognition software to identify suspects.
There are six known instances of wrongful arrest in the US, and the victims in all cases were black people.
Artificial intelligence reflects racial bias in society, because it is trained on real-world data.
A US government study published in 2019 found that facial recognition technology was between 10 and 100 times more likely to misidentify black people than white people.
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This is because the technology is trained on predominantly white datasets. This is because it doesn’t have as much information on what people of other races look like, so it’s more likely to make mistakes.
There are growing calls for that bias to be addressed if companies and policymakers want to use it for future decision-making.
One approach to solving the problem is to use synthetic data, which is generated by a computer to be more diverse than real-world datasets.
Chris Longstaff, vice president for product management at Mindtech, a Sheffield-based start-up, said that real-world datasets are inherently biased because of where the data is drawn from.
“Today, most of the AI solutions out there are using data scraped from the internet, whether that is from YouTube, Tik Tok, Facebook, one of the typical social media sites,” he said.
As a solution, Mr Longstaff’s team have created “digital humans” based on computer graphics.
These can vary in ethnicity, skin tone, physical attributes and age. The lab then combines some of this data with real-world data to create a more representative dataset to train AI models.
One of Mindtech’s clients is a construction company that wants to improve the safety of its equipment.
The lab uses the diverse data it has generated to train the company’s autonomous vehicles to recognise different types of people on the construction site so it can stop moving if someone is in their way.
Toju Duke, a responsible AI advisor and former programme manager at Google, said that using computer-generated, or “synthetic,” data to train AI models has its downsides.
“For someone like me, I haven’t travelled across the whole world, I haven’t met anyone from every single culture and ethnicity and country,” he said.
“So there’s no way I can develop something that would represent everyone in the world and that could lead to further offences.
“So we could actually have synthetic people or avatars that could have a mannerism that could be offensive to someone else from a different culture.”
The problem of racial bias is not unique to facial recognition technology, it has been recorded across different types of AI models.
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The vast majority of AI-generated images of “fast food workers” showed people with darker skin tones, even though US labour market figures show that the majority of fast food workers in the country are white, according to a Bloomberg experiment using Stability AI’s image generator earlier this year.
The company said it is working to diversify its training data.
A spokesperson for the Detroit police department said it has strict rules for using facial recognition technology and considers any match only as an “investigative lead” and not proof that a suspect has committed a crime.
“There are a number of checks and balances in place to ensure ethical use of facial recognition, including: use on live or recorded video is prohibited; supervisor oversight; and weekly and annual reporting to the Board of Police Commissioners on the use of the software,” they said.
Sam Moore, who sang Soul Man and other 1960s hits in the legendary Sam & Dave duo, has died aged 89.
Moore, who influenced musicians including Michael Jackson, Al Green and Bruce Springsteen, died on Friday in Coral Gables, Florida, due to complications while recovering from surgery, his publicist Jeremy Westby said.
No additional details were immediately available.
Moore was inducted with Dave Prater, who had died in a 1988 car crash, into the Rock and Roll Hall of Fame in 1992.
The duo, at the Memphis, Tennessee-based Stax Records, transformed the “call and response” of gospel music into a frenzied stage show and recorded some of soul music’s most enduring hits, including Hold On, I’m Comin’.
Many of their records were written and produced by the team of Isaac Hayes and David Porter and featured the record label’s house band Booker T & the MGs.
Sam & Dave faded after their 1960s heyday but Soul Man hit the charts again in the late 1970s when the Blues Brothers, John Belushi and Dan Aykroyd, recorded it with many of the same musicians.
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Moore had mixed feelings about the hit becoming associated with the Saturday Night Live stars, remembering how young people believed it originated with the Blues Brothers.
Sam & Dave broke up in 1970 and neither had another major hit.
Moore later said his drug habit played a part in the band’s troubles and made record executives wary of giving him a fresh start.
He married his wife Joyce in 1982, and she helped him get treatment for his addiction that he credited with saving his life.
Moore spent years suing Prater after his former partner hired a substitute and toured as the New Sam & Dave.
He also lost a lawsuit claiming the pair of aging, estranged singers in the 2008 movie Soul Men was too close to the duo.
In another legal case, he and other artists sued multiple record companies and the American Federation of Television and Radio Artists in 1993, claiming he had been cheated out of retirement benefits.
Despite his million-selling records, he said in 1994 his pension amounted to just 2,285 US dollars (£1,872), which he could take as a lump sum or in monthly payments of 73 US dollars (£60).
“Two thousand dollars for my lifetime?” Moore said at the time. “If you’re making a profit off of me, give me some too. Don’t give me cornbread and tell me it’s biscuits.”
Moore wrote Dole Man, based on Soul Man, for Republican Bob Dole’s 1996 presidential campaign and was one of the few entertainers who performed at President Donald Trump’s inaugural festivities in 2017.
Eight years earlier, he objected to Democratic presidential candidate Barack Obama’s use of the song Hold On, I’m Comin’ during his campaign.
The fires that have been raging in Los Angeles County this week may be the “most destructive” in modern US history.
In just three days, the blazes have covered tens of thousands of acres of land and could potentially have an economic impact of up to $150bn (£123bn), according to private forecaster Accuweather.
Sky News has used a combination of open-source techniques, data analysis, satellite imagery and social media footage to analyse how and why the fires started, and work out the estimated economic and environmental cost.
More than 1,000 structures have been damaged so far, local officials have estimated. The real figure is likely to be much higher.
“In fact, it’s likely that perhaps 15,000 or even more structures have been destroyed,” said Jonathan Porter, chief meteorologist at Accuweather.
These include some of the country’s most expensive real estate, as well as critical infrastructure.
Accuweather has estimated the fires could have a total damage and economic loss of between $135bn and $150bn.
“It’s clear this is going to be the most destructive wildfire in California history, and likely the most destructive wildfire in modern US history,” said Mr Porter.
“That is our estimate based upon what has occurred thus far, plus some considerations for the near-term impacts of the fires,” he added.
The calculations were made using a wide variety of data inputs, from property damage and evacuation efforts, to the longer-term negative impacts from job and wage losses as well as a decline in tourism to the area.
The Palisades fire, which has burned at least 20,000 acres of land, has been the biggest so far.
Satellite imagery and social media videos indicate the fire was first visible in the area around Skull Rock, part of a 4.5 mile hiking trail, northeast of the upscale Pacific Palisades neighbourhood.
These videos were taken by hikers on the route at around 10.30am on Tuesday 7 January, when the fire began spreading.
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At about the same time, this footage of a plane landing at Los Angeles International Airport was captured. A growing cloud of smoke is visible in the hills in the background – the same area where the hikers filmed their videos.
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The area’s high winds and dry weather accelerated the speed that the fire has spread. By Tuesday night, Eaton fire sparked in a forested area north of downtown LA, and Hurst fire broke out in Sylmar, a suburban neighbourhood north of San Fernando, after a brush fire.
These images from NASA’s Black Marble tool that detects light sources on the ground show how much the Palisades and Eaton fires grew in less than 24 hours.
On Tuesday, the Palisades fire had covered 772 acres. At the time of publication of Friday, the fire had grown to cover nearly 20,500 acres, some 26.5 times its initial size.
The Palisades fire was the first to spark, but others erupted over the following days.
At around 1pm on Wednesday afternoon, the Lidia fire was first reported in Acton, next to the Angeles National Forest north of LA. Smaller than the others, firefighters managed to contain the blaze by 75% on Friday.
On Thursday, the Kenneth fire was reported at 2.40pm local time, according to Ventura County Fire Department, near a place called Victory Trailhead at the border of Ventura and Los Angeles counties.
This footage from a fire-monitoring camera in Simi Valley shows plumes of smoke billowing from the Kenneth fire.
Sky News analysed infrared satellite imagery to show how these fires grew all across LA.
The largest fires are still far from being contained, and have prompted thousands of residents to flee their homes as officials continued to keep large areas under evacuation orders. It’s unclear when they’ll be able to return.
“This is a tremendous loss that is going to result in many people and businesses needing a lot of help, as they begin the very slow process of putting their lives back together and rebuilding,” said Mr Porter.
“This is going to be an event that is going to likely take some people and businesses, perhaps a decade to recover from this fully.”
The Data and Forensics team is a multi-skilled unit dedicated to providing transparent journalism from Sky News. We gather, analyse and visualise data to tell data-driven stories. We combine traditional reporting skills with advanced analysis of satellite images, social media and other open source information. Through multimedia storytelling we aim to better explain the world while also showing how our journalism is done.