Dispelling Myths About Artificial Intelligence for Government Service Delivery

Abstract

This brief addresses common misconceptions about artificial intelligence (AI) in government service delivery. It highlights the lack of a shared definition for AI and the tendency to label various technologies as AI, even when they don't involve AI. It emphasizes that deep learning has driven significant advancements in AI. The article also warns that AI is not inherently objective or fair and may introduce biases. It notes that deploying AI requires substantial resources, including technical expertise, data access, and ongoing oversight. Government agencies are advised to carefully evaluate AI's suitability for their tasks, consider potential biases, and prioritize transparency and explainability in their decision-making processes.