
Why AI is Considered to be the Next Gen Anti-Corruption Technology?
Projects involving many countries, as well as different languages, currencies, or reporting methodologies, may require considerable ‘cleaning’ before an AI software can monitor well enough to spot probable irregularities with a high degree of
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CIO Applications Europe | Friday, September 03, 2021

Projects involving many countries, as well as different languages, currencies, or reporting methodologies, may require considerable ‘cleaning’ before an AI software can monitor well enough to spot probable irregularities with a high degree of precision
Fremont, CA: Artificial intelligence (AI) is a term that describes technologies that allow machines to mimic human intelligence to solve complex problems. There are approaches in which a computer process that decides or suggests a result is directed by an algorithm or a “recipe” for dealing with a specific set of inputs. Machine learning (ML) is a subsection of this field that employs various methodologies with varying degrees of sophistication to address a wide range of problems. To teach the algorithm on how to deal with the data, some of these methods require a dataset.
Development organizations are upbeat about the advantages of new technologies but cautious about the drawbacks. New, computerized methods are included in some designs, which eliminate previously corruptible occupations. Other programs take a more “direct” approach to detecting previously hidden transactions or fraudsters. In many cases, digitized interactions between society and its residents serve as the foundation for AI applications. In some instances, reconfiguring business or governance procedures to allow for automation and AI assistance may reduce the risk of fraudulent behavior.
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Corruption and fraud in donor holdings are one issue where new technologies could accelerate investigations or make questionable occurrences more visible. The International Aid Transparency Initiative (IATIOpenAid) is a long-standing concept that several governments have adopted. For AI to be effective, transactions and reporting must be synced.
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