Artificial intelligence (AI) continues to be deployed in many different areas and for many different applications. Brookings brought us this interesting information in their article, “Using AI and machine learning to reduce government fraud.”
Both public and private sector organizations are looking to this emerging technology to manage financial resources and monitor fraud. Advanced algorithms can spot abnormalities and outliers that can be referred to human investigators to determine if fraud actually has taken place.
Most organizations have little knowledge of how AI systems make the decisions they do, and as a result, how the results are being applied in the various fields that AI and machine learning are being applied. Explainable AI allows users to comprehend and trust the results and output created by machine learning algorithms. Explainable AI is used to describe an AI model, its expected impact and potential biases. Explainability becomes critical when the results can have an impact on data security or safety.
Melody K. Smith
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