WorkDifferentWithAI.com Academic Paper Alert!
Written by Muneera Bano, Didar Zowghi, Vincenzo Gervasi
Category: Ethical AI,Compassionate AI
Article Section: Ethical and Responsible AI; Responsible AI Practices
Publication Date: 2024
SEO Description: “Envisioning an inclusive AI through diversity and inclusion framework implementation in tech development.”
Keywords
Diversity, Inclusion, Artificial Intelligence, Operationalization, Persona-based Simulation
AI-Generated Paper Summary
Generated by Ethical AI Researcher GPT
Summary
The paper, titled “A Vision for Operationalising Diversity and Inclusion in AI,” authored by Muneera Bano, Didar Zowghi, and Vincenzo Gervasi, addresses the integration of diversity and inclusion (D&I) principles within AI ecosystems. It proposes a framework leveraging persona-based simulation by Generative AI (GenAI) to represent diverse users in the requirements analysis for AI software. The goal is to develop an inclusive AI paradigm by creating a comprehensive persona repository that informs development processes with detailed user narratives. This framework aims to bridge the gap between high-level ethical guidelines and practical implementation, ensuring AI systems are ethical, fair, and inclusive.
Author Caliber
- Muneera Bano and Didar Zowghi are affiliated with CSIRO’s Data61 in Australia, a prominent data and digital research network, indicating significant expertise in the field.
- Vincenzo Gervasi is from the Department of Computer Science, Pisa University, Italy, lending academic rigor to the research.
Novelty & Merit
- Proposes a unique framework for integrating D&I in AI, focusing on persona-based simulation.
- Utilizes Generative AI to create diverse user personas for AI software development.
- Addresses the gap in operationalizing ethical guidelines in AI systems.
- Aims to prevent biases and ensure equity in AI applications.
- Introduces a comprehensive persona repository to inform AI development with diverse user needs.
Commercial Applications
- Development of AI systems in various sectors ensuring they cater to a diverse user base.
- Implementation in software development companies for creating inclusive products.
- Use in human resources and marketing to understand diverse customer and employee bases.
- Application in public sector AI systems for fair and inclusive services.
Findings and Conclusions
- Ethical AI requires the operationalization of D&I principles in practical settings.
- Persona-based simulation can effectively represent diverse user needs in AI development.
- A comprehensive persona repository can inform development with detailed user narratives.
- Operationalizing D&I in AI bridges the gap between ethical guidelines and their enactment.
- The proposed framework ensures future technological advances are designed with a commitment to humanity’s diverse fabric.
Author’s 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.