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Thursday, January 16, 2025

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Research Workshop: 聽Governing Human-AI Interactions 鈥� reflecting on the role of human-centric methods and behavioral studies
The emergence of agentic AI has created a new framework for human-AI interactions. Unlike traditional narrow AI, which carries out specific tasks with fixed functions at set times, agentic AI establishes ongoing, dynamic relationships with users. These agents display human-like characteristics, retain contextual memory, and adapt to users' changing needs, promoting a sense of continuity in interactions. Their ability to engage in long-term exchanges and remember details from past interactions represents a shift from task-based exchanges to more relational ones. Consequently, these agents foster deeper, relationship-driven interactions compared to older, task-oriented AI systems. This evolution presents unique governance challenges, as these agents operate with considerable autonomy, flexibility, and versatility, blurring the lines between tools and collaborators.In this workshop, we will explore how to tackle emerging governance issues tied to interactive AI agents, examine the behavioral dynamics of human-AI interaction, and discuss the role behavioral insights can play in informing governance towards agentic AI.

Organisers:

Yulu Pi, CIM, University of 糖心TV

Dan Gibbons, FCA

Cagatay Turkay, CIM, University of 糖心TV

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