Trust, Failure And Trust Recovery In Financial Exchanges: Towards A Culturally-Intelligent, Dynamic And Sensing AI
Project Description
Trust is a dynamic process that involves initiating and building trust, responding to violations of trust (failures) and trying to re-build (repair) trust. Yet, it is relatively unknown how humans and AI agents interact in such dynamic situations. The present interdisciplinary research program engages concepts and methods inspired by behavioural game theory, cognitive science, microeconomics, and cultural psychology to understand and improve the dynamic trust relationships between humans and AI, focusing on AI employed in financial advising and trading. Aim is to generate principles for developing A.I. that can be trustworthy and can also repair trust in a culturally sensitive way.
Research Technical Area
- Trust
- Trust Repair
- Culture, Behavioral Game Theory
Benefits to the society
AI occasionally fails. Take the example of an autonomous vehicle which crashes (and makes news) – this might be a problem that is technically easy to solve, users would need time be persuaded. Whereas technological solutions can overcome such failures and generate improved A.I., the key problem is that users and consumers might altogether remove their trust towards the AI, with potentially catastrophic outcomes. This project aims to understand how AI can be trustworthy and how to repair trust when there are failures. Critically, the project will start building principles for a culturally sensitive AI.
Team’s Principal Investigator
Assoc. Prof. Georgios Christopoulos holds a Ph.D. in decision neuroscience (Cambridge). Georgios enjoys interdisciplinary collaborations, as complex problems need input from different disciplines. His lab examines organizational, entrepreneurial and managerial behavior by combining traditional methods with state-of-the-art experimental, game-theoretic and neurobiological methods. Specific questions relate to (i) dynamics of trust, (ii) the impact of the built environment (including office design) on performance and well-being and (iii) detecting mental fatigue using biosensors. He holds expertise in a wide range of methods, including computerised testing, computational modelling, fMRI, psychophysiology, whereas he has been developing new methods including wearable devices and Virtual Reality.
Recent Notable Awards
- John Cheung Social Media Award for Teaching
- NBS Research Excellence Award, NTU
The Team
Co Principal Investigators
Yohanes Eko RIYANTO, Nanyang Technological University
Research Focus: Microeconomics, Behavioral Game Theory
TAY Wee Peng, Nanyang Technological University
Research Focus: Autonomous Vehicles / AI
Thomas ROCKSTUHL, Nanyang Technological University
Research Focus: Culture science, Psychometrics
YONG Ee Hou, Nanyang Technological University
Research Focus: Computational Modelling
Collaborators
Ying-Yi HONG, Chinese University of Hong Kong
Research Focus: Cultural Psychology
Dejun “Tony” KONG, University of Colorado Boulder
Research Focus: Trust, negotiation and leadership
