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New framework models human trust in AI agents

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new framework for understanding and inferring human trust in AI agents. This framework is based on mental models and captures multidimensional aspects of trust, including performance, process, and purpose. The proposed system aims to formalize intuitions about trust found in existing literature and can be used to develop trust-aware decision-making systems for AI agents. Human subject studies were conducted to validate the framework's ability to adjust human beliefs and subsequently modify trust perceptions. AI

IMPACT Provides a theoretical foundation for building more reliable and understandable AI systems by formalizing trust dynamics.

RANK_REASON The cluster contains an academic paper detailing a new framework for AI trust. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New framework models human trust in AI agents

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The cluster contains an academic paper detailing a new framework for AI trust. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Zahra Zahedi, Sarath Sreedharan, Erin Chiou, Subbarao Kambhampati ·

    A Mental Model Based Framework of Trust

    arXiv:2301.12569v2 Announce Type: replace Abstract: Handling trust is a core requirement of effective interaction between people and AI agents. Thus, any decision-making framework designed to work with people must be able to estimate human trust. In this paper, we propose a menta…

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