As the use of sharing economy apps such as Uber has grown in the past decade, their economic value has grown as well. Although discrimination throughout these apps has been seen as well. LSU is developing software that will help identify this discrimination as well as how to fight it.

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In today's technological climate, there has been a significant increase in the use of online applications such as sharing economy apps. Sharing economy apps are the apps that offer services to users, such as Lyft and DoorDash.

Recent studies show that these applications may have underlying bias. According to reports by AzCentral, 6% of black Uber drivers' users would cancel opposed to 2% of white Uber drivers. 

"They continue to draw attention to racism and trigger push back from people," said SE user, Kia Lewis. 

The bias discovered in these sharing economy applications are known as digital discrimination. A team in the LSU Computer Science & Engineering Department is developing a software to combat this discrimination.

"We're gonna hear what the people have to tell us then we are going to take that information because we are software engineers, we're gonna try to translate that information into what we call software specifications," said LSU Computer Science & Engineering Associate Professor, Nash Mahmoud. "Basically, specification are how we are gonna build that software." 

LSU's software will also identify digital discrimination in other platforms as well as provide solutions to eradicate it. The first phase of the developmental process is to listen to the community's concerns and hear their input in finding solutions. 

The second phase of the process will utilize the research results to build the software, which is expected to cost $1.5 million. Once completed, this software will decrease discrimination found in sharing economy apps. LSU also plans to release an app of its own to aid users.