thesis subject :
Norms, Trust Evolution, and Value Co-creation in Human-AI Collaboration
Thesis start date :
Septembre 2023
Name of thesis supervisor(s) :
Nathalie Gardes (University of Bordeaux) & Olivier Dupouët (KEDGE Business School)
Thesis abstract :
The research explores the dynamics of team trust in Human-AI Teams (HAT), focusing on how norms influence trust levels at multiple levels within these teams. Traditionally, studies have examined trust in dyadic (human-AI) contexts, but recent research has expanded to the multilevel framework, considering trust in human-AI teams involving multiple agents. The study aligns with the ECOr focus on climate change and sustainable transitions, and behavioral studies. The research addresses the relationship between social norms and trust in human-AI teams. Chapter 1 examines how AI’s roles (delegate or partner) and adherence to relational norms influence trust dynamics through laboratory experiments. Chapter 2 uses a different laboratory experiment to explore how social norms impact two trust dimensions: measurable ability and perceived morality. Chapter 3, in collaboration with Engie, focuses on value co-creation in energy communities where AI mediates interactions between customers and providers. The chapter applies value co-creation and understands how AI adherence to social norms and economic incentives builds and sustains trust. It investigates whether trust remains stable or evolves as AI interacts with participants over time. This chapter employs a field experiment focusing on tripartite trust (customer-provider-AI) and how it impacts long-term value co-creation and sustainable energy transition.
