Searched for: subject%3A%22Trustworthiness%22
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Sewandono, Tijn (author)
Recent technological advancements have enabled the development of increasingly impactful and complex Artificial Intelligence (AI) systems. This complexity is paired with a trade-off in terms of system opacity. The resulting lack of understanding combined with reported algorithm scandals have decreased public trust in AI systems. Meanwhile, the...
master thesis 2023
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Hutiri, Wiebke (author)
From smart phones to speakers and watches, Edge Al is deployed on billions of devices to process large volumes of personal data efficiently, privately and in real-time. While Edge Al applications are promising, many recent incidents of bias in Al systems caution that Edge Al too, may systematically discriminate against groups of people based on...
doctoral thesis 2023
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Zhang, Zhengquan (author)
Trust plays an important role in the implementation of chatbot technology. This study was also focusing on user trust in chatbots, particularly focusing on the role of response delay and explanation-driven driven subjective transparency. This research includes a pretest and a main test. In the pretest, we selected one explanation that was...
master thesis 2023
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Centeio Jorge, C. (author), Jonker, C.M. (author), Tielman, M.L. (author)
Human-AI teams count on both humans and artificial agents to work together collaboratively. In human-human teams, we use trust to make decisions. Similarly, our work explores how an AI can use trust (in human teammates) to make decisions while ensuring the team’s goal and mitigating risks for the humans involved. We present the several steps...
journal article 2023
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Lupetti, M.L. (author), Hagens, E.M.A. (author), van der Maden, W.L.A. (author), Steegers-Theunissen, Régine (author), Rousian, Melek (author)
This paper explores the potential implications of embodied conversational agents (ECAs) in healthcare, focusing on the impact of appearance and conversation style on trustworthiness. We conducted a Research through Design investigation of ECAs for supporting women during the periconception period and in pregnancy. The paper presents the...
conference paper 2023
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Heintz, Fredrik (author), Csáki, Csaba (author), Bernardini, Flavia (author), Dobbe, R.I.J. (author)
As AI technology becomes more powerful, the impact on governance and the governance of AI becomes more important. The purpose of this panel is to bring together experts on Trustworthy AI and E-Governance to discuss the lessons learned so far and the challenges ahead. The goal is to provide a comprehensive review of challenges and potential...
journal article 2023
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Centeio Jorge, C. (author), Bouman, Nikki H. (author), Jonker, C.M. (author), Tielman, M.L. (author)
Introduction: Collaboration in teams composed of both humans and automation has an interdependent nature, which demands calibrated trust among all the team members. For building suitable autonomous teammates, we need to study how trust and trustworthiness function in such teams. In particular, automation occasionally fails to do its job, which...
journal article 2023
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Hagens, Emma (author)
In the Netherlands, the healthcare sector is facing increasing staff shortages and the demand for adequately trained healthcare personnel is expected to increase in the coming years. Shortages in obstetric care mean that not all women and their partners receive the care they need before, during and after pregnancy. To counter these shortages,...
master thesis 2022
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Bouman, Nikki (author)
Collaboration in teams composed of both humans and automations has an interdependent nature, which demands calibrated trust among all the teammembers. For building suitable autonomous teammates, we need to study how trust and trustworthiness function in such teams. In particular, automations occasionally fail to do their job, which leads to a...
master thesis 2022
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Michael Joseph Sherman, Joseph (author)
Neurological disorders in the nervous and neuromuscular systems affect approximately 260 million people annually and among these 255 million would benefit from rehabilitation [4]. Patients with neurological disorders usually require multi-dimensional rehabilitation, involving physical, cognitive, psychological, and medical help. Children with...
master thesis 2022
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Sarkar, Priya (author)
Mathematical fairness notions introduced in literature aim to make algorithmic decisions fair. However, their usage has been criticized in domains such as recidivism and lending for producing unfair decisions. Questions regarding fairness, which also have an important role in hiring are giving way to concerns about the increasing adoption of...
master thesis 2022
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Obame Obiang, Christopher (author)
AI systems have the ability to complete tasks with greater precision and speed than humans, which has led to an increase in their usage. These systems are often grouped with humans in order to take advantage of the unique abilities of both the AI and the human. However, to make this cooperation as efficient as possible, there needs to be a...
bachelor thesis 2022
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Lindhorst, Paul (author)
Human-AI teams require trust to operate efficiently and solve certain tasks like search & rescue. Trustworthiness is measured using the ABI model; Ability, Benevolence and Integrity. This research paper tries to observe the effect a conflicting robot has on the human trustworthiness. The hypothesis we try to test is: “human trustworthiness...
bachelor thesis 2022
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Rademaker, Justin (author)
As technology advances, automated systems become more autonomous which leads to a higher interdependence between machine and human. Much research has been done about trust between humans and trust of humans regarding machines. An interesting question that remains is how the behavior of an agent influences human trustworthiness in a human-agent...
bachelor thesis 2022
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Dinu, Iulia (author)
The number of collaborations between humans and artificial agents has risen steeply in recent years due to the rapid expansion of AI. Numerous studies in social sciences have already established that trust is a crucial factor in ensuring effective teamwork. While the dynamics of trust in human-human relationships or the effects of human...
bachelor thesis 2022
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Centeio Jorge, C. (author), Tielman, M.L. (author), Jonker, C.M. (author)
Mutual trust is considered a required coordinating mechanism for achieving effective teamwork in human teams. However, it is still a challenge to implement such mechanisms in teams composed by both humans and AI (human-AI teams), even though those are becoming increasingly prevalent. Agents in such teams should not only be trustworthy and...
conference paper 2022
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Vermeer, Lukas (author), Anderson, K.S. (author), Acebal, Mauricio (author)
Background: Sample Ratio Mismatch (SRM) checks can help detect data quality issues in online experimentation [3]. Not all experimentation platforms provide these checks as part of their solution. Users of these platforms must therefore manually check for SRM, or rely on additional processes—such as checklists [2]—or automation. Objective: To...
conference paper 2022
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Teng, Y. (author)
This paper argues that the widespread belief that interactions between blockchains and their users are trust-free is inaccurate and misleading, since this belief not only overlooks the vital role played by trust in the lack of knowledge and control but also conceals the moral and normative relevance of relying on blockchain applications. The...
journal article 2022
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Si, Wai Man (author), Backes, Michael (author), Blackburn, Jeremy (author), De Cristofaro, Emiliano (author), Stringhini, Gianluca (author), Zannettou, S. (author), Zhang, Y. (author)
Chatbots are used in many applications, e.g., automated agents, smart home assistants, interactive characters in online games, etc. Therefore, it is crucial to ensure they do not behave in undesired manners, providing offensive or toxic responses to users. This is not a trivial task as state-of-the-art chatbot models are trained on large, public...
conference paper 2022
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Sulastri, R. (author), Janssen, M.F.W.H.A. (author)
Governments want to improve the economy by extending the market of financial credit. Recently, Peer-To-peer (P2P) lending credit scoring systems have gained more attention for advancing society; however, the role of governments in ensuring fair access to such a system is not known. This work aims to understand better the public values for...
conference paper 2022
Searched for: subject%3A%22Trustworthiness%22
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