AIMC Topic: Trust

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Face the Uncanny: The Effects of Doppelganger Talking Head Avatars on Affect-Based Trust Toward Artificial Intelligence Technology are Mediated by Uncanny Valley Perceptions.

Cyberpsychology, behavior and social networking
This experiment ( = 228) examined how exposure to a talking head doppelganger created by an artificial intelligence (AI) program influenced affect-based trust toward AIs. Using a 3 (talking head featuring the participant's or a stranger's face, audio...

A Leap of Faith: Is There a Formula for "Trustworthy" AI?

The Hastings Center report
Trust is one of the big buzzwords in debates about the shaping of society, democracy, and emerging technologies. For example, one prominent idea put forward by the High-Level Expert Group on Artificial Intelligence appointed by the European Commissio...

Philosophical evaluation of the conceptualisation of trust in the NHS' Code of Conduct for artificial intelligence-driven technology.

Journal of medical ethics
The UK Government's Code of Conduct for data-driven health and care technologies, specifically artificial intelligence (AI)-driven technologies, comprises 10 principles that outline a gold-standard of ethical conduct for AI developers and implementer...

Exploring the differential effects of trust violations in human-human and human-robot interactions.

Applied ergonomics
There is sparse research directly investigating the effects of trust manipulations in human-human and human-robot interactions. Moreover, studies on human-human versus human-robot trust have leveraged unusual or low vulnerability contexts to investig...

Let's Work Together: A Meta-Analysis on Robot Design Features That Enable Successful Human-Robot Interaction at Work.

Human factors
OBJECTIVE: This meta-analysis reviews robot design features of interface, controller, and appearance and statistically summarizes their effect on successful human-robot interaction (HRI) at work (that is, task performance, cooperation, satisfaction, ...

Tracking historical changes in trustworthiness using machine learning analyses of facial cues in paintings.

Nature communications
Social trust is linked to a host of positive societal outcomes, including improved economic performance, lower crime rates and more inclusive institutions. Yet, the origins of trust remain elusive, partly because social trust is difficult to document...

Trust in AI Agent: A Systematic Review of Facial Anthropomorphic Trustworthiness for Social Robot Design.

Sensors (Basel, Switzerland)
As an emerging artificial intelligence system, social robot could socially communicate and interact with human beings. Although this area is attracting more and more attention, limited research has tried to systematically summarize potential features...

Trust in artificial intelligence for medical diagnoses.

Progress in brain research
We present two online experiments investigating trust in artificial intelligence (AI) as a primary and secondary medical diagnosis tool and one experiment testing two methods to increase trust in AI. Participants in Experiment 1 read hypothetical sce...

Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians.

Journal of medical Internet research
Artificial intelligence (AI) can transform health care practices with its increasing ability to translate the uncertainty and complexity in data into actionable-though imperfect-clinical decisions or suggestions. In the evolving relationship between ...

In AI We Trust: Ethics, Artificial Intelligence, and Reliability.

Science and engineering ethics
One of the main difficulties in assessing artificial intelligence (AI) is the tendency for people to anthropomorphise it. This becomes particularly problematic when we attach human moral activities to AI. For example, the European Commission's High-l...