The Accountability, Responsibility & Governance as a Unified Strategy for AI

Abstract

This research meticulously evaluates U.S. National AI strategies, assessing their alignment with the OECD AI Principles within the U.S. National Security and Intelligence Community (IC) Nexus. The study analyzes the profound implications of integrating Artificial Intelligence (AI) by crucial U.S. Government agencies responsible for these domains to navigate the complex interplay between AI capabilities and ethical imperatives. The research delves into critical concerns surrounding algorithmic bias, the "explainability gap" that can undermine trust in AI-driven insights, the ethical dimensions of AI-enabled surveillance technologies, the need for robust data governance across often-fragmented agencies, and the development of comprehensive AI Governance frameworks. The research aims to generate actionable knowledge through a robust qualitative methodology encompassing narrative research, case studies of AI implementations within the intelligence community, and systematic content analysis of U.S. National AI Strategies vis-à-vis the OECD AI Principles. The findings will provide practitioners with practical guidelines, contribute to a more nuanced scholarly rendition of AI Governance in U.S. National Security environments, and inform the development of a Unified National AI Strategy that prioritizes human-centered values, transparency, accountability, and international collaboration.