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AI-enhanced collective intelligence
Current societal challenges exceed the capacity of humans operating either alone or
collectively. As AI evolves, its role within human collectives will vary from an assistive tool to …
collectively. As AI evolves, its role within human collectives will vary from an assistive tool to …
Appropriate reliance on AI advice: Conceptualization and the effect of explanations
AI advice is becoming increasingly popular, eg, in investment and medical treatment
decisions. As this advice is typically imperfect, decision-makers have to exert discretion as to …
decisions. As this advice is typically imperfect, decision-makers have to exert discretion as to …
ChatGPT: The cognitive effects on learning and memory
L Bai, X Liu, J Su - Brain‐X, 2023 - Wiley Online Library
As the integration of artificial intelligence (AI) into our daily lives and educational
environments becomes increasingly prevalent, it is necessary to understand the way in …
environments becomes increasingly prevalent, it is necessary to understand the way in …
The era of artificial intelligence deception: Unraveling the complexities of false realities and emerging threats of misinformation
SM Williamson, V Prybutok - Information, 2024 - mdpi.com
This study delves into the dual nature of artificial intelligence (AI), illuminating its
transformative potential that has the power to revolutionize various aspects of our lives. We …
transformative potential that has the power to revolutionize various aspects of our lives. We …
Knowing about knowing: An illusion of human competence can hinder appropriate reliance on AI systems
The dazzling promises of AI systems to augment humans in various tasks hinge on whether
humans can appropriately rely on them. Recent research has shown that appropriate …
humans can appropriately rely on them. Recent research has shown that appropriate …
Human-AI collaboration: the effect of AI delegation on human task performance and task satisfaction
Recent work has proposed artificial intelligence (AI) models that can learn to decide whether
to make a prediction for an instance of a task or to delegate it to a human by considering …
to make a prediction for an instance of a task or to delegate it to a human by considering …
[HTML][HTML] Rams, hounds and white boxes: investigating human–AI collaboration protocols in medical diagnosis
In this paper, we study human–AI collaboration protocols, a design-oriented construct aimed
at establishing and evaluating how humans and AI can collaborate in cognitive tasks. We …
at establishing and evaluating how humans and AI can collaborate in cognitive tasks. We …
Determinants of llm-assisted decision-making
E Eigner, T Händler - arxiv preprint arxiv:2402.17385, 2024 - arxiv.org
Decision-making is a fundamental capability in everyday life. Large Language Models
(LLMs) provide multifaceted support in enhancing human decision-making processes …
(LLMs) provide multifaceted support in enhancing human decision-making processes …
Dealing with uncertainty: Understanding the impact of prognostic versus diagnostic tasks on trust and reliance in human-AI decision making
While existing literature has explored and revealed several insights pertaining to the role of
human factors (eg, prior experience, domain knowledge) and attributes of AI systems (eg …
human factors (eg, prior experience, domain knowledge) and attributes of AI systems (eg …
AI shall have no dominion: on how to measure technology dominance in AI-supported human decision-making
In this article, we propose a conceptual and methodological framework for measuring the
impact of the introduction of AI systems in decision settings, based on the concept of …
impact of the introduction of AI systems in decision settings, based on the concept of …