A community-based approach to ethical decision-making in AI for health care

Artificial Intelligence (AI) is transforming healthcare by improving diagnostics, treatment recommendations, and resource allocation. However, its implementation also raises ethical concerns, particularly regarding biases in AI algorithms trained on inequitable data, which may reinforce health disparities. This paper introduces the AI CODE (COmmunity-based Ethical Dialogue and DEcision-making) framework to embed ethical deliberation into AI development, focusing on Electronic Health Records (EHRs). We propose the  AI CODE framework as a structured approach to addressing ethical challenges in AI-driven healthcare and ensuring its implementation supports health equity. To develop this framework, we conducted a narrative synthesis of case studies from the literature that discussed ethical challenges and proposed solutions in applying AI to EHR datasets, as well as an analysis of current AI-related regulations. We examine the framework’s role in mitigating AI biases through structured ..., , # Data from: A community-based approach to ethical decision-making in AI for health care

Dataset DOI: [10.5061/dryad.pzgmsbd0v](10.5061/dryad.pzgmsbd0v)

## Description of the data and file structure

We have submitted the Metadata (***Metadata.pdf***), and the  list of references to develop the AI CODE framework (***List_of_references_to_develop_the_AI_CODE_framework.pdf***), 

## Descriptions

### Metadata

Title: Title of the manuscript (contains authors’ names, the title of the manuscript and the name of the journal)

Methodology: The method employed to develop the framework.

Authors: List of authors of the manuscript

                  Name of the author: co-author of the manuscript

                  Affiliation: Department or research lab affiliation

### List_of_references_to_develop_the_AI_CODE_framework

Number of references: A total of 43 references were used to develop and discuss the framework.

References: contain authors’ names, the name of the journal, the journal’s na...,