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

TL;DR

This paper discusses how AI systems can support individual well-being while respecting user autonomy, emphasizing responsible innovation principles like inclusion, anticipation, reflexivity, and responsiveness.

Contribution

It identifies key considerations for designing AI applications that balance promoting well-being with respecting human autonomy, based on responsible research and innovation.

Findings

Highlights the dilemma between general well-being and user autonomy.

Proposes a framework using four dimensions for responsible AI development.

Analyzes an example of a running app to illustrate considerations.

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.