AI-enhanced collective intelligence

H Cui, T Yasseri - Patterns, 2024 - cell.com
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 …

Appropriate reliance on AI advice: Conceptualization and the effect of explanations

M Schemmer, N Kuehl, C Benz, A Bartos… - Proceedings of the 28th …, 2023 - dl.acm.org
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 …

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 …

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 …

Knowing about knowing: An illusion of human competence can hinder appropriate reliance on AI systems

G He, L Kuiper, U Gadiraju - Proceedings of the 2023 CHI conference on …, 2023 - dl.acm.org
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 …

Human-AI collaboration: the effect of AI delegation on human task performance and task satisfaction

P Hemmer, M Westphal, M Schemmer… - Proceedings of the 28th …, 2023 - dl.acm.org
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 …

[HTML][HTML] Rams, hounds and white boxes: investigating human–AI collaboration protocols in medical diagnosis

F Cabitza, A Campagner, L Ronzio, M Cameli… - Artificial Intelligence in …, 2023 - Elsevier
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 …

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 …

Dealing with uncertainty: Understanding the impact of prognostic versus diagnostic tasks on trust and reliance in human-AI decision making

S Salimzadeh, G He, U Gadiraju - … of the 2024 CHI Conference on …, 2024 - dl.acm.org
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 …

AI shall have no dominion: on how to measure technology dominance in AI-supported human decision-making

F Cabitza, A Campagner, R Angius, C Natali… - Proceedings of the …, 2023 - dl.acm.org
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 …