What Should Be Considered to Support well-being with AI: Considerations Based on Responsible Research and Innovation

2024-07-02

arXiv.org

AI Summary

This study addresses the fundamental tension between universal health definitions and individual autonomy in AI-enabled wellbeing applications. Using running apps as a case study, it systematically integrates the four dimensions of Responsible Research and Innovation—anticipation, reflection, inclusion, and responsiveness—into an ethical design framework for AI health systems, drawing on techno-ethics, human factors engineering, and AI design principles. Methodologically, it employs interdisciplinary analysis to identify and mitigate ethical and societal risks often overlooked during early design stages. The contribution is a theoretically rigorous yet practically actionable design guideline that bridges the gap between standardized health metrics and personalized wellbeing needs. By centering human values and agency, the framework advances AI wellbeing applications toward a human-centered, value-sensitive, and sustainable development paradigm.

Technology Category

• Philosophy and Ethics of AI: Applications
• Humans and AI: AI for Accessibility
• Machine Learning: Ethics, Bias, and Fairness

Application Category

• Responsible Web: Machine-in-the-loop, human agency and autonomy
• User Modeling, Personalization and Recommendation: Accountability, Transparency, and Ethics for personalization
• Economics, Online Markets and Human Computation: Fairness and ethical considerations in crowd work and in human-in-the-loop AI systems

Abstract

To achieve people's well-being with AI systems, we should enable each user to be guided to a healthier lifestyle in a way that is appropriate for her or him. However, there is a dilemma between general well-being as defined in academic and medical discussions and the autonomy users should have when deciding how to promote their well-being. In this position paper, we discuss the difficulty for AI application developers to fully consider in the design phase what might happen to the user, taking an example of a running application (app). We sort out the required factors to enable AI apps that support well-being to address the dilemma between unilaterally defined well-being and human autonomy based on the four dimensions required for responsible innovation: inclusion, anticipation, reflexivity, and responsiveness.

Problem

• Balancing AI-driven well-being support with user autonomy
• Addressing design challenges in AI health applications
• Integrating responsible innovation dimensions for ethical AI

Innovation

• AI guides personalized healthier lifestyles
• Balances well-being definitions with user autonomy
• Uses responsible innovation dimensions for design