Data suggests that 94% of the officers are at minimal risk, 4% at advisable risk and 2% are at actionable risk.

The brutal custodial death of George Floyd has sparked worldwide protests. Not only it has revealed the bitter reality of police misconduct, but has also shredded light on the skewed judicial system. Though the protests started after George Floyd was killed due to gruesome racial bias, but police brutality has existed in the society for a long time.

Moreover, the USA is not the only country where the responsibility of the police is being questioned. In India, the custodial death of Father-Son duo Jayaraj and Phoenix has put police accountability under heavy scrutiny. Nonetheless, it has also called upon the need for global policy reforms so that custodial deaths can be mitigated.

For a very long time, the use of technology such as Facial Recognition was held responsible for police misconducts in the USA. Owing to the algorithmic biases of Artificial intelligence, companies like IBM and Google pulled out from the research work of facial recognition when the death of George Floyd became a national issue. Furthermore, the big tech organizations and police have become more vigilant while utilizing artificial intelligence.

But, now this technology, which was partially blamed to be the reason for biases, is being utilized for police reforms. In this article, we will discuss two such technologies that have shown positive results.

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Can Police Brutality be Reformed Using Artificial Intelligence?
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