Accountability Frameworks for Autonomous AI Decision-Making Systems

Abstract

As artificial intelligence systems become more sophisticated at making judgments on their own, it will become increasingly difficult to enforce accountability, responsibility, and adherence to moral and legal standards. In order to support the structured responsibility for assignment and proof of AI systems, this paper will address the nature of an accountability framework and its associated issues. Important elements like openness, human oversight, and flexibility are incorporated into the proposed framework to regulate AI in order to meet the accountability difficulties that have been highlighted. Through industrial case studies, some important guidelines for implementing and expanding the framework were also supplied, ensuring that businesses boost compliance, trust, and responsible adoption of AI technology.