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"Trust and transparency"

A global study shows public sector organizations lose 16% of budgets to fraud, waste, and abuse. While 85% prioritize combating fraud, only 52% use AI for detection. Yet, 97% plan to adopt generative AI within two years to boost efficiency and rebuild trust. Explore this research for data-driven fraud prevention strategies.

Public sector organizations face pressure to combat fraud, waste, and abuse (FWA) under tight budgets and demands for transparency. FWA consumes 16% of budgets, eroding trust and diverting resources. This study highlights AI as a key tool, with 85% of leaders prioritizing fraud prevention and 97% planning generative AI adoption within two years. Insights include:

• AI boosts workforce efficiency and fraud detection
• Large language model adoption to rise from 18% to 84%
• Five strategies for responsible AI-driven fraud prevention

Explore this research for data-driven strategies to enhance public program efficiency.

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