Building Inclusive AI: Integrating Relational Ethics with Compositional Design

Abstract

As AI technologies advance, ensuring their transparency, scalability, and ethical governance becomes increasingly vital. Traditional AI paradigms, rooted in a rational framework, prioritize efficiency, problem-solving, and optimization. This paradigm emphasizes autonomy and a task-oriented approach, but often leads to AI systems that are monolithic and opaque. Moreover, this approach neglects crucial aspects such as societal impact, ethical considerations, and long-term maintainability. To address these gaps, we propose integrating relational ethics, exemplified by feminist philosophies, with compositional AI principles from software engineering. This integration emphasizes community, interconnectedness, modularity, and transparency, ensuring that AI systems are both socially responsible and technologically robust, capable of meeting the complex demands of modern socio-ecological systems.