A Vision for Operationalising Diversity and Inclusion in AI
This addresses the problem of bias and inequity in AI applications for society, but it is incremental as it builds on existing ethical guidelines with a new tool-focused approach.
The study tackles the gap between ethical diversity and inclusion (D&I) principles and their practical implementation in AI systems, proposing a framework using Generative AI for persona-based simulation to better represent diverse user needs in software development.
The growing presence of Artificial Intelligence (AI) in various sectors necessitates systems that accurately reflect societal diversity. This study seeks to envision the operationalization of the ethical imperatives of diversity and inclusion (D&I) within AI ecosystems, addressing the current disconnect between ethical guidelines and their practical implementation. A significant challenge in AI development is the effective operationalization of D&I principles, which is critical to prevent the reinforcement of existing biases and ensure equity across AI applications. This paper proposes a vision of a framework for developing a tool utilizing persona-based simulation by Generative AI (GenAI). The approach aims to facilitate the representation of the needs of diverse users in the requirements analysis process for AI software. The proposed framework is expected to lead to a comprehensive persona repository with diverse attributes that inform the development process with detailed user narratives. This research contributes to the development of an inclusive AI paradigm that ensures future technological advances are designed with a commitment to the diverse fabric of humanity.