Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Understanding Opportunities and Risks of Synthetic Relationships: Leveraging the Power of Longitudinal Research with Customised AI Tools
1
Zitationen
2
Autoren
2024
Jahr
Abstract
This position paper discusses the benefits of longitudinal behavioural research with customised AI tools for exploring the opportunities and risks of synthetic relationships. Synthetic relationships are defined as "continuing associations between humans and AI tools that interact with one another wherein the AI tool(s) influence(s) humans' thoughts, feelings, and/or actions." (Starke et al., 2024). These relationships can potentially improve health, education, and the workplace, but they also bring the risk of subtle manipulation and privacy and autonomy concerns. To harness the opportunities of synthetic relationships and mitigate their risks, we outline a methodological approach that complements existing findings. We propose longitudinal research designs with self-assembled AI agents that enable the integration of detailed behavioural and self-reported data.
Ähnliche Arbeiten
Structural equation modeling with AMOS: basic concepts, applications, and programming
2000 · 18.097 Zit.
Multilevel analysis : an introduction to basic and advanced multilevel modeling
1999 · 6.917 Zit.
Modern Methods for Business Research
1998 · 6.491 Zit.
Structural Equation Modeling With Lisrel, Prelis, and Simplis: Basic Concepts, Applications, and Programming
1998 · 3.875 Zit.
Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings
1982 · 3.240 Zit.