21 papers · ranked by Valyu relevance
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Trust has stood out more than ever in the light of recent innovations. Some examples are advances in artificial intelligence that make machines more and more humanlike, and the introduction of decentralized technologies (e.g. blockchains), which creates new forms of (decentralized) trust. These new developments have…
P. A. Hancock, Theresa T. Kessler, Alexandra D. Kaplan, Kimberly Stowers + 4 more
'Kimberly Stowers' 'J. Christopher Brill' 'Deborah R. Billings' 'Kristin E. Schaefer' 'James L. Szalma'] Trust exerts an impact on essentially all forms of social relationships. It affects individuals in deciding whether and how they will or will not interact with other people. Equally, trust also influences the stance…
Hussein A. Abbass, Eleni Petraki, Kathryn Merrick, John Harvey + 1 more
This paper considers two emerging interdisciplinary, but related topics that are likely to create tipping points in advancing the engineering and science areas. Trusted Autonomy (TA) is a field of research that focuses on understanding and designing the interaction space between two entities each of which exhibits a…
Andreas Duenser, David Douglas
We present an overview of the literature on trust in AI and AI trustworthiness and argue for the need to distinguish these concepts more clearly and to gather more empirically evidence on what contributes to people's trusting behaviours. We discuss that trust in AI involves not only reliance on the system itself, but…
Uyen Hoang, Braden Tanner, Dana Mahmoud-Elhaj, Jenna Holt + 2 more
'Muhammad Asif' 'Adam Feltz'] Trust is a well-studied attitude with many different conceptualizations, scales, and measurement techniques. However, the diversity of measurement and conceptualizations of trust can make comparisons between studies and instrument selection difficult. To help address these difficulties, we…
Kelly Blincoe, Markus Luczak–Roesch, Tim Miller, Matthias Galster
This article summarizes the literature on trust of digital technologies from a human-centric perspective. We summarize literature on trust in face-to-face interactions from other fields, followed by a discussion of organizational trust, technology-mediated trust, trust of software products, trust of AI, and blockchain.…
Yuta Matsubara, Hideki Tamura, Tetsuto Minami, Shigeki Nakauchi
The integration of mobile robots into human environments requires that they behave in trustworthy ways. Trust develops through interaction, and erratic movements can easily break it. Previous research examined motion predictability and smoothness separately, but their combined effect remains unclear. We investigated…
Paul R. Ward, Loreen Mamerow, Samantha B. Meyer, K. Brad Wray
Background Trust is regarded as a necessary component for the smooth running of society, although societal and political modernising processes have been linked to an increase in mistrust, potentially signalling social and economic problems. Fukuyama developed the notion of ‘high trust’ and ‘low trust’ societies, as a…
Alice Plebe, Niccolò Tempini
Trust is central to collaborative settings in which large language models (LLMs) are increasingly deployed. Yet little is known about whether LLMs exhibit a propensity to trust (PTT): a baseline tendency to extend or withhold trust that remains relatively stable across contexts. We investigate PTT in nineteen LLMs…
Ryan Othniel Kearns
| 1 | Abstract | | 5 | | --- | --- | --- | --- | | 2 | Introduction | | 7 | | | 2.1 | Trusting in Context | 7 | | | 2.2 | The Ubiquity of Trust | 8 | | | 2.3 | Trust and Vulnerability | 9 | | | 2.4 | Why Trust at All? | 10 | | | 2.4.1 | The Necessity of Trust | 10 | | | 2.4.2 | The Value of Trust | 11 | | | 2.5 |…
Salvatore Giorgi, Jason Jeffrey Jones, Anneke Buffone, Johannes C. Eichstaedt + 10 more
Trust is predictive of civic cooperation and economic growth. Recently, the U.S. public has demonstrated increased partisan division and a surveyed decline in trust in institutions. There is a need to quantify individual and community levels of trust unobtrusively and at scale. Using observations of language across…
Pin-Hao A. Chen, Dominic Fareri, Berna Güroğlu, Mauricio R. Delgado + 1 more
Trust is a nebulous construct central to successful cooperative exchanges and interpersonal relationships. In this study, we introduce a new approach to establishing construct validity of trust using “neurometrics”. We develop a whole-brain multivariate pattern capable of classifying whether new participants will trust…
Martin McKee, May CI van Schalkwyk, Rachel Greenley, Govin Permanand
Trusted interactions are crucial in health systems. Trust facilitates effective healthcare by encouraging patients to seek and adhere to treatment, enabling teamwork among health professionals, reducing miscommunication and medical errors, and fostering innovation and resilience. The COVID-19 pandemic underscored the…
Jaimy A. Hannah, Giovanni M. Di Liberto
Trust is a critical component of human communication, providing a foundation for understanding, information exchange, and social coordination. Much of the research on trust in speech communication has focused on how vocal characteristics impact perceived trustworthiness. However, little is known about how trust in a…
Jonathan R Goodman, Alessia Costa, Richard Milne, Stefano Brini
Background Trust is an essential element in engagement with data sharing and underpins efforts to use data to combat health inequalities. However, research into public trust in data sharing and health care settings may rely on oversimplified notions of what trust entails. How trust relationships manifest in this…
I. Ma, A. G. Sanfey, W.J. Ma
Trust decisions are inherently uncertain, as people usually have incomplete information about the trustworthiness of the other prior to their decision. Therefore, it is typically beneficial to gather information about another’s past behaviour before deciding whether or not to trust them. However, gathering elaborate…
Bodo Vogt, Paul Bengart, Caroylyn Declerck, Ernst Fehr
In recent years, increasing skepticism regarding oxytocin’s (OT) influence on social behavior arose. Low power, HARKing (hypothesizing after the results are known), and replication failures have clouded the field. Here, we directly address these concerns with a high-powered, preregistered study that offers robust…
Paul R. Smart, Wendy Hall, Michael Boniface
Trustworthiness is typically regarded as a desirable feature of national identification systems (NISs); but the variegated nature of the trustor communities associated with such systems makes it difficult to see how a single system could be equally trustworthy to all actual and potential trustors. This worry is…
Peter Kraus, Edan Bainglass, Francisco F. Ramirez, Enea Svaluto-Ferro + 7 more
Compliance with good research data management practices means trust in the integrity of the data, and it is achievable by a full control of the data gathering process. In this work, we demonstrate tooling which bridges these two aspects, and illustrate its use in a case study of automated battery cycling. We…
Tobias Peters, Roel W. Visser
In recent years the use of Artificial Intelligence (AI) has become increasingly prevalent in a growing number of fields. As AI systems are being adopted in more high-stakes areas such as medicine and finance, ensuring that they are trustworthy is of increasing importance. A concern that is prominently addressed by the…
Samuel Renaud, Rachael Mansbach
Current antibacterial treatments cannot overcome the rapidly growing resistance of bacteria to antibiotic drugs, and novel treatment methods are required. One option is the development of new antimicrobial peptides (AMPs), to which bacterial resistance build-up is comparatively slow. Deep generative models have…