EDAI Framework for Integrating Equity, Diversity, and Inclusion Throughout the Lifecycle of AI to Improve Health and Oral Health Care: Qualitative Study.

ABSTRACT:

Background

Recent studies have identified significant gaps in equity, diversity, and inclusion (EDI) considerations within the lifecycle of artificial intelligence (AI), spanning from data collection and problem definition to implementation stages. Despite the recognized need for integrating EDI principles, there is currently no existing guideline or framework to support this integration in the AI lifecycle.

Objective

This study aimed to address this gap by identifying EDI principles and indicators to be integrated into the AI lifecycle. The goal was to develop a comprehensive guiding framework to guide the development and implementation of future AI systems.

Methods

This study was conducted in 3 phases. In phase 1, a comprehensive systematic scoping review explored h

SUBMITTER: Abbasgholizadeh Rahimi S 

PROVIDER: S-EPMC11607576 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature