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Brianna White

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Staff member
Jul 30, 2019
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Corruption is one of the several unwanted constants around the world every year. According to an annual report created by Transparency International, in 2020, corruption was still widely prevalent—and, in several nations, rampant—across the world. What’s worse, the study also found that corruption affected and, in many cases, slowed down the global response to Covid-19. Unfortunately, the point about corruption and catastrophes feeding off each other still holds true to this day. While corruption in certain countries may be higher than in others, it is still everybody’s problem to solve. Eliminating it completely is impossible as it is too ingrained in our social fabric now.
Modern technology provides some hope in our collective crusade against global corruption. For example, the usage of AI in smart cities shows how governments can disperse citizen services efficiently with minimal to non-existent corruption present in the process. The potential of AI to detect and, eventually, reduce corruption in various places of power is high. Therefore, a problem like corruption needs to be handled with AI, along with other elements to support it.
Data Mining to Combat Corruption
Unsurprisingly, if AI is used as an anti-corruption tool, big data and analytics will contribute heavily towards the process too. Here’s a summary of how big data can assist AI with combating corruption: Initially, big data will play a significant role in collecting and compiling corruption-related information from various sources. This information is then fed into AI systems for processing and predictive analysis.
Continue reading: https://www.forbes.com/sites/naveenjoshi/2021/09/19/can-ai-be-used-as-an-anti-corruption-tool/?sh=7d18cad87569
 

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