Understanding the Impact of AI Disclosure: Designing Technologies and Policies for Human-AI Collaboration
Understanding the Impact of AI Disclosure: Designing Technologies and Policies for Human-AI Collaboration
Tamir Mendel, postdoctoral researcher at the Tandon School of Engineering at New York University
Abstract:
AI systems have the potential to enhance access to timely advice, but perceptions of AI may shape individuals' decisions to seek guidance from these systems. This talk presents experimental studies exploring two different types of human interactions with AI. First, we examine people's willingness to disclose health information to receive advice from a human doctor versus an AI in a healthcare scenario. Second, we explore how disclosing expert advisors’ use of AI to clients affects advisors' perceived personal responsibility for decisions and the degree of reliance on AI in a financial investment scenario. Finally, I will discuss design and policy approaches that promote responsible AI and address its ethical implications.
Bio:
Tamir Mendel is a postdoctoral researcher at the Tandon School of Engineering at New York University. He earned his Ph.D. from Tel Aviv University in 2022. His research focuses on human-computer interaction, human-AI interaction, and social computing. He designs, develops, and investigates AI-based decision support systems to help people manage their health, finances, privacy and security. Through experiments, surveys, and machine learning, he explores designs and methods to enhance human-AI interactions.
