A Framework for Contextual Regulation Needs of Artificial Intelligence
Hadi sadjadi
1
(
Faculty member
)
Helia Yousefnejad
2
(
)
Keywords: Artificial Intelligence, Governance, Regulation, Contextual Analysis, PEST,
Abstract :
The widespread use of artificial intelligence in areas such as autonomous vehicles, health and medical diagnosis, assisting researchers using large language models, robotics and defense fields indicates the increasing importance of this technology in various functional areas. In this regard, industries and governments around the world, with incentives such as increasing economic efficiency and quality of life, eliminating labor shortages, dealing with population aging and strengthening national defense power, are interested in obtaining the potential benefits of artificial intelligence and have accelerated the development and deployment of this technology in various fields through various means, including development-oriented policymaking and regulation. Along with the undeniable applications and benefits of this technology, unintended consequences are also created that have raised concerns. Although a significant literature has been developed on the governance and regulation dimensions of artificial intelligence, the context-based regulation of artificial intelligence has been largely neglected. Contextual regulation in this study refers to the analysis of regulatory needs from the perspective of distinct functional domains, each of which has different expectations, requirements, stakeholders, actions, and generally the discourse governing it. The present study selected these domains based on the PEST model and analyzed examples of context-based regulation in the core dimensions of AI regulation, including accountability, safety and security, privacy, transparency, explainability, fairness and non-discrimination, human control of technology, professional responsibility, and promotion of human values, in each of the domains of the aforementioned model, including the political, economic, social, and technological domains, and presented regulatory needs based on that.
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