Positive AI: Key Challenges in Designing Artificial Intelligence for Wellbeing
It addresses the problem of ensuring AI benefits humanity by focusing on wellbeing, offering a foundational but incremental framework for researchers and policymakers.
The article tackles the challenge of aligning AI development with human wellbeing by identifying key issues in modeling, assessing, designing interventions for, and maintaining alignment with wellbeing over time, providing a structured scope for future efforts.
Artificial Intelligence (AI) is a double-edged sword: on one hand, AI promises to provide great advances that could benefit humanity, but on the other hand, AI poses substantial (even existential) risks. With advancements happening daily, many people are increasingly worried about AI's impact on their lives. To ensure AI progresses beneficially, some researchers have proposed "wellbeing" as a key objective to govern AI. This article addresses key challenges in designing AI for wellbeing. We group these challenges into issues of modeling wellbeing in context, assessing wellbeing in context, designing interventions to improve wellbeing, and maintaining AI alignment with wellbeing over time. The identification of these challenges provides a scope for efforts to help ensure that AI developments are aligned with human wellbeing.