A Vision for Operationalising Diversity and Inclusion in AI

TL;DR

This paper proposes a framework using Generative AI to operationalize diversity and inclusion in AI development, aiming to create more equitable and representative AI systems by simulating diverse user personas.

Contribution

It introduces a novel persona-based simulation framework leveraging GenAI to better incorporate D&I principles into AI development processes.

Findings

Framework for persona repository with diverse attributes

Enhanced representation of user needs in AI requirements

Potential to reduce biases in AI systems

Abstract

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.