Academic articles on artificial intelligence and public policy

This article provides a critical and in-depth analysis of America's AI Action Plan, evaluating its global leadership objectives and practical implications for the business sector. It offers an essential perspective on the intersection of government AI policy, deregulation, and governance challenges for businesses. The study directly addresses how federal actions impact AI privacy, compliance, and vendor risk.

This article is crucial for understanding the intersection of artificial intelligence and public policy, directly addressing the challenges of data governance in the context of AI. It provides a critical conceptual framework for implementing ethical and responsible practices in the development and use of AI systems, highlighting the need for controlled delegation of authority.

This essay offers a profound analysis of the practical implementation of fairness in artificial intelligence systems, a crucial topic in public policy. It provides a roadmap for regulated industries, highlighting the transition from ethical principles to enforceable and continuously monitored AI governance. Its focus on operationalization and regulatory implications makes it a valuable contribution to understanding the intersection of AI and policy.

This article offers crucial insight into the perceptions and attitudes of local US policymakers regarding AI, a fundamental aspect for public policy formulation. Its analysis of expectations concerning AI's impact and regulation in local communities provides essential empirical data for the debate on artificial intelligence governance.

This ethical framework is fundamental to AI public policy by providing principles for the responsible development and deployment of AI technologies. It directly addresses the need to mitigate biases and establish accountability, which are crucial aspects for public trust and effective AI regulation.

This article provides a comprehensive review of AI regulation, identifying key challenges and regulatory needs in a rapidly advancing field. Its in-depth analysis of the difficulties in regulating AI, including its global nature and speed of development, makes it a fundamental contribution to public policy.

This study presents a comprehensive framework for AI regulation, tackling the complex task of balancing innovation with risk management. Its focus on establishing an AI Risk Mitigation System (AIMS) offers a practical methodology for organizations to ensure the safety and success of their AI initiatives, making it highly relevant to public policy discourse.

This article provides a comprehensive analysis of AI policies and regulatory frameworks in the U.S., addressing both federal and state legislation. It offers a critical perspective on balancing innovation with regulation, a central theme in the current debate on artificial intelligence governance.