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Research Gaps
Research gaps refer to areas where existing knowledge, best practices, or empirical evidence are insufficient to guide AI governance decisions and implementation. Identifying these gaps is critical for enterprises because unclear or unstudied aspects of AI risk management, compliance frameworks, or technical controls leave organizations vulnerable to unforeseen issues and regulatory misalignment. Organizations tracking research gaps can prioritize investment in studies that directly address their governance challenges and avoid relying on incomplete guidance when making high-stakes decisions about AI deployment and oversight.
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