Sander de Jong
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View article: Confirmation Bias as a Cognitive Resource in LLM-Supported Deliberation
Confirmation Bias as a Cognitive Resource in LLM-Supported Deliberation Open
Large language models (LLMs) are increasingly used in group decision-making, but their influence risks fostering conformity and reducing epistemic vigilance. Drawing on the Argumentative Theory of Reasoning, we argue that confirmation bias…
View article: Algorithm appreciation or aversion: the effects of accuracy disclosure on users' reliance on algorithmic suggestions
Algorithm appreciation or aversion: the effects of accuracy disclosure on users' reliance on algorithmic suggestions Open
Prior work highlights people's tendency to initially overtrust algorithmic decisions, but also disproportionality lower their trust following an algorithm's mistakes. In contrast, people maintain higher trust when they see a human make sim…
View article: Using LLMs for self-care: User and counsellor perspectives
Using LLMs for self-care: User and counsellor perspectives Open
People are increasingly relying on technology for self-care, including, more recently, seeking help through conversational interfaces driven by large language models (LLMs). Yet, how interaction with LLMs has impacted people's self-care pr…
View article: Assessing Cognitive and Social Awareness among Group Members in AI-assisted Collaboration
Assessing Cognitive and Social Awareness among Group Members in AI-assisted Collaboration Open
Successful collaboration in computer-mediated teams requires awareness among group members of each other’s knowledge, skills, and goals. Large Language Models (LLMs) can play a mediating role in establishing and maintaining this awareness …
View article: On Moral Manifestations in Large Language Models
On Moral Manifestations in Large Language Models Open
Since OpenAI released ChatGPT, researchers, policy-makers, and laypersons have raised concerns regarding its false and incorrect statements, which are furthermore expressed in an overly confident manner. We identify this flaw as part of it…
View article: The Challenge of Bias Mitigation in Clinical AI Decision Support:A Balance Between Decision Efficiency and Quality
The Challenge of Bias Mitigation in Clinical AI Decision Support:A Balance Between Decision Efficiency and Quality Open
An increasing number of intelligent data-driven health systems seek to support patients and clinicians in decision making tasks. However, the recommendations provided by such systems can negatively impact the reasoning abilities of its use…