Positive AI: Key Challenges in Designing Artificial Intelligence for Wellbeing
- ,
- Derek Lomas,
- Malak Sadek,
- Paul Hekkert
- Delft University of Technology,
- Imperial College London
Research Output:
Other contribution
Other contribution
Open access
Publication Information
Output type
Research Output:
Other contribution
Other contribution
Original language
EnglishPublication milestones
- Published - 2023
Publication status
Published - 2023
Publisher
arXivPublication IDs
- ORCID: /0000-0003-0245-1633/work/158494301
- Scopus: 85188023181
Abstract
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.
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.