TOAST Framework: A Multidimensional Approach to Ethical and Sustainable AI Integration in Organizations
It addresses the problem of ethical and sustainable AI integration for organizations, particularly in high-stakes sectors like healthcare, though it appears incremental as it builds on existing multidisciplinary insights.
The paper tackles the challenge of implementing AI systems by introducing the TOAST framework, which guides AI integration with a focus on ethical values and socio-technical harmony, demonstrating through healthcare case studies that it can enhance efficiency and mitigate risks like bias.
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.