TOAST Framework: A Multidimensional Approach to Ethical and Sustainable AI Integration in Organizations

TL;DR

The paper introduces the TOAST framework, a comprehensive, multidisciplinary approach to guide ethical, sustainable, and effective AI integration in organizations, demonstrated through healthcare case studies.

Contribution

It presents the TOAST framework, a novel multidimensional model that aligns technical, ethical, and societal aspects for AI implementation in high-stakes environments.

Findings

Demonstrates the framework's practicality in healthcare settings.

Shows how TOAST enhances AI reliability and ethical compliance.

Provides a replicable model for other sectors.

Abstract

Artificial Intelligence (AI) has emerged as a transformative technology with the potential to revolutionize various sectors, from healthcare to finance, education, and beyond. However, successfully implementing AI systems remains a complex challenge, requiring a comprehensive and methodologically sound framework. This paper contributes to this challenge by introducing the Trustworthy, Optimized, Adaptable, and Socio-Technologically harmonious (TOAST) framework. It draws on insights from various disciplines to align technical strategy with ethical values, societal responsibilities, and innovation aspirations. The TOAST framework is a novel approach designed to guide the implementation of AI systems, focusing on reliability, accountability, technical advancement, adaptability, and socio-technical harmony. By grounding the TOAST framework in healthcare case studies, this paper provides a robust evaluation of its practicality and theoretical soundness in addressing operational, ethical, and regulatory challenges in high-stakes environments, demonstrating how adaptable AI systems can enhance institutional efficiency, mitigate risks like bias and data privacy, and offer a replicable model for other sectors requiring ethically aligned and efficient AI integration.