Nidal Zaqeeba

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About

Nidal Zaqeeba is a rising scholar at the intersection of artificial intelligence and public finance, whose work is reshaping how governments approach tax administration. Her most-cited research, "The impact of using types of artificial intelligence technology in monitoring tax payments" (2024, 11 citations), provides a critical examination of how machine learning algorithms and other AI technologies can revolutionize tax compliance and enforcement. By conducting a thorough literature review, Zaqeeba systematically analyzes the relationship between different AI tools—from predictive analytics to automated auditing systems—and their effectiveness in monitoring tax payments. Her work offers practical insights for policymakers seeking to modernize revenue collection while addressing concerns about algorithmic bias and transparency. Though early in her career, Zaqeeba’s research has already garnered attention for its timely focus on the ethical and operational challenges of deploying AI in sensitive governmental functions. She continues to explore how emerging technologies can create more efficient, equitable tax systems, positioning herself as a key voice in the growing field of AI-driven public administration.