Integrating Digital DNA for AI's Entities: Advancing Ethical AI Frameworks in the Altug Scenario

This study aims to develop a direction of action focused on integrating ethical values into AI entities through the DNA Digital AI (dDNAAI) framework. The applied methodology is qualitative, using a transdisciplinary and reflexive approach. This methodology involves clarifying aspects related to organic and digital DNA, clarifying the main components of the architecture of AI entities, locating the elements that must integrate the 12 Meta-Commandments and 24 Meta-Rules (12MC:24MR) and incorporating these ethical meta-rules in the AI core of AI's entities. Integration refers to two essential steps in the automatic generation of AI algorithms: conforming and adapting the automatically generated algorithms to 12MC:24MR minimal requests and evaluating and certifying their conformance. The results indicate that technological integration of dDNAAI is difficult at present. Although there is the possibility of using a physical chip to store digital DNA, this approach faces significant obstacles, such as high cost, long integration time, and risks associated with potential degradation of the stored content. In conclusion, while integrating ethical considerations into AI entities is crucial for their responsible deployment and operation, achieving this through dDNAAI involves considerable technological and practical challenges. This study insists that technological advances, particularly quantum computing, may eventually provide more feasible solutions for implementing these ethical frameworks in AI entities.