Fundamentals of legislation for autonomous artificial intelligence systems
This addresses the need for legal frameworks to govern autonomous AI systems in corporate settings, but it is incremental as it builds on existing regulatory concepts.
The article tackles the problem of defining operational contexts for autonomous AI systems in corporate management by proposing a dual-version approach to local regulations, enabling these systems to function within required standards.
The article proposes a method for forming a dedicated operational context in course of development and implementation of autonomous corporate management systems based on example of autonomous systems for a board of directors. The significant part of the operational context for autonomous company management systems is the regulatory and legal environment within which corporations operate. In order to create a special operational context for autonomous artificial intelligence systems, the wording of local regulatory documents can be simultaneously presented in two versions: for use by people and for use by autonomous systems. In this case, the artificial intelligence system will get a well-defined operational context that allows such a system to perform functions within the required standards. Local regulations that provide for the specifics of the joint work of individuals and autonomous artificial intelligence systems can create the basis of the relevant legislation governing the development and implementation of autonomous systems.