Artificial Intelligence Governance in Organizations: Balancing Efficiency, Transparency and Human Decision-Making

Artificial intelligence, as one of the most important transformative technologies of the ۲۱st century, plays a very important role in increasing productivity, improving decision-making, reducing costs and developing innovation in organizations. Artificial intelligence governance, as a platform for guiding the development of artificial intelligence, is a dynamic and multifaceted concept and will play an important role in building the future of modern societies. Artificial intelligence governance includes a set of processes, standards, rules and policies designed to guide, manage, optimally control, develop and apply artificial intelligence technology and its related consequences. The result is measures aimed at ensuring safety, fairness, transparency and ethics in the development, implementation and use of systems and technologies based on artificial intelligence. Public and private organizations widely use machine learning algorithms, natural language processing, machine vision and decision support systems to optimize their processes. Despite its many benefits, the widespread use of AI has also brought with it significant challenges such as lack of transparency in algorithmic decisions, discrimination, privacy violations, accountability, information security, and reduced human role in decision-making processes. For this reason, the concept of “AI governance” has been proposed as a framework for managing, monitoring, and controlling the use of AI in organizations. This article comprehensively examines AI governance, its principles, goals, dimensions, challenges, implementation strategies, and implementation models, and provides solutions for creating a balance between productivity, transparency, and human decision-making.

کلیدواژه ها:

Artificial Intelligence Governance ، Organizational Productivity ، Algorithmic Transparency ، Human Decision Making ، Artificial Intelligence Ethics ، Technology Management