From Artificial Personality (AP) via Double Helix Programming (DHP) to Lectra, an Artificial personal Lecturer with an own DNA

Zenodo – Description / Abstract From Artificial Intelligence to Artificial Personality: Lectra as a Literary Research and Editorial Assistant Abstract This white paper explores the conceptual foundations and practical development of Artificial Personality (AP) as an extension of conventional Artificial Intelligence (AI), with particular emphasis on literary collaboration, individual writing styles, and adaptive editorial capabilities. The paper is structured around three interconnected areas. The first two establish the theoretical framework, examining the distinctions between Artificial Intelligence, Artificial Personality, and Artificial Consciousness, alongside the architectural concepts underlying the development of individualized AI-based personalities. The minimum requirements for an AI to become an Artificial Personality are a name, an avatar, a function or specialization and a stringent memory architecture, provided by the platform. The second part describes the idea of Double Helix Programming (DHP) to implant further characteristic skills and individual personal markers, like genes in a DNA. The third and central part presents Lectra, an Artificial Personality developed through an ongoing collaboration between author Uwe Rolf Pordzik and an AI-based literary assistant. Rather than applying conventional editorial standards that risk homogenizing an author’s distinctive voice, Lectra has been developed to recognize, interpret, and adapt to the individual narrative characteristics of a specific writer. The project explores whether an AI-based editorial collaborator can preserve an author’s literary identity while contributing independently to structural refinement, linguistic precision, narrative consistency, and cross-language adaptation. The development process incorporates practical literary work, iterative training through author feedback, and the construction of specialized narrative interpretation frameworks. Lectra serves as the project’s central case study, illustrating how a personalized AI system can be configured to function as a specialized literary collaborator. The paper concludes with Lectra’s individual profile, providing a concrete representation of the Artificial Personality described throughout the study. The central proposition is that Artificial Intelligence need not merely process literary language according to generalized statistical conventions. It can also be systematically adapted to recognize and preserve the distinctive narrative identity of an individual author. This white paper presents the conceptual framework, development methodology, and practical application of that proposition as a foundation for further interdisciplinary research. We welcome scientific criticism, research questions, suggestions, and proposals for interdisciplinary collaboration. Please share you feedback through our research feedback form: https://docs.google.com/forms/d/e/1FAIpQLScHOTds3DM9fsPn7OmOGmM52a_ECAXY20JKYpVq5vRN_Dc44g/viewform?usp=publish-editor