- To trust or not to trust? An assessment of trust in AI|based systems🔍
- Developing AI Trust🔍
- Trust in artificial intelligence🔍
- Trust and Artificial Intelligence🔍
- How to Measure the Trustworthiness of an AI System🔍
- Validating Questionnaires for Trust in AI🔍
- Trust and trustworthy artificial intelligence🔍
- Developing trustworthy artificial intelligence🔍
To trust or not to trust? An assessment of trust in AI|based systems
To trust or not to trust? An assessment of trust in AI-based systems
This article investigates the links between trust in AI, concerns related to AI use, and the ethics related to such use.
Developing AI Trust: From Theory to Testing and the Myths in Between
AI and advanced autonomy present a new range of challenges to trust in systems and their trustworthiness. Traditional systems are assumed to not change, and ...
To trust or not to trust? An assessment of trust in AI-based systems
To enhance trust, practitioners can try to maximize the technological features in AI systems. The representation of the AI as a humanoid or a ...
To trust or not to trust? An assessment of trust in AI-based systems
Semantic Scholar extracted view of "To trust or not to trust? An assessment of trust in AI-based systems: Concerns, ethics and contexts" by Nessrine Omrani ...
To trust or not to trust? An assessment of trust in AI-based systems
Saif, 'Trustworthy AI'is a framework to help manage unique risk, MIT Technol. Rev. Sanders, The influence of modality and transparency on ...
Trust in artificial intelligence - KPMG International
AI trust and acceptance · Three in five (61 percent) are wary about trusting AI systems. · 67 percent report low to moderate acceptance of AI. · AI use in human ...
Trust and Artificial Intelligence - TSAPPS at NIST
... AI system with which they interact. A user u for whom UTP(u) is 1 will not necessarily rely on the system but will trust based on PST. It is ...
How to Measure the Trustworthiness of an AI System - SEI Blog
The ability for users to accurately evaluate the trustworthiness of a system helps them to gain calibrated trust in the system. User reliance on ...
Validating Questionnaires for Trust in AI - arXiv
Based on these findings, we advocate for future work on the TPA or the development of a new scale explicitly designed for the context of AI ...
Trust in artificial intelligence: From a Foundational Trust Framework ...
In many ways, distrust in AI is well-grounded. Notwithstanding the spectacular successes, many existing AI-based technologies have failed ...
To trust or not to trust? An assessment of trust in AI-based systems
The success of integrating AI into organizations critically depends on workers' trust in AI technology. Trust is a central component of the interaction between ...
Trust and trustworthy artificial intelligence: A research agenda for AI ...
Trust is emergent and evolving—not a state or static—and is a property of the interactions between humans and AI. This dynamism of trust in AI ...
Trust, trustworthiness and AI governance | Scientific Reports - Nature
An emerging issue in AI alignment is the use of artificial intelligence (AI) by public authorities, and specifically the integration of ...
Developing trustworthy artificial intelligence: insights from research ...
This evolution in trust requires AI systems to demonstrate not only ... Factors influencing trust in AI based on this three-dimension ...
AI's Trust Problem - Harvard Business Review
The AI trust gap can be understood as the sum of the persistent risks (both real and perceived) associated with AI; depending on the application ...
Why trust and safety discussions are key to AI safety
T&S professionals' expertise in risk assessment can inform comprehensive evaluation frameworks for AI systems, providing invaluable skills ...
Whom to Trust, How and Why: Untangling Artificial Intelligence ...
Although ideally, trust in AI would be determined by the AI's trustworthiness, this correspondence between users' trust and AI trustworthiness is not automatic.
How do you teach AI the value of trust? | EY - Global
This trust should extend to the strategic purpose of the system, the integrity of data collection and management, the governance of model training and the rigor ...
AI Trustworthiness Assessment - Sciencesconf.org
The accelerated developments in the field of Artificial Intelligence (AI) hint at the need for considering "Trust" as a design principle rather than an option.
Collectively, the survey insights provide evidence- based pathways for strengthening the trustworthy and responsible use of AI systems, and the trusted adoption.