Data-driven decision-making has long been a mission enabler for the federal government, but the proliferation of new artificial intelligence and machine learning (AI/ML) tools presents bothopportunities and challenges for agencies.

Mandates from the top, including the ExecutiveOrder on responsible AI, are asking agencies tointegrate these tools as quickly as possible. However,ensuring robust data governance and building holisticguidelines for responsible AI can be a daunting task for agencies that may not have the budget orbandwidth to dedicate personnel to address thesespecific challenges. These and other competingpriorities can be overwhelming.

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