Results 21 to 30 of about 9,872,649 (283)

AI and Ethics When Human Beings Collaborate With AI Agents

open access: yesFrontiers in Psychology, 2022
The relationship between a human being and an AI system has to be considered as a collaborative process between two agents during the performance of an activity.
José J. Cañas
doaj   +1 more source

Human-AI collaboration in healthcare security

open access: yesWorld Journal of Advanced Research and Reviews
Healthcare security gets a transformative boost from Artificial Intelligence (AI) implementation which improves patient protections as well as protects healthcare information systems while simultaneously generating operational efficiency. Modern healthcare organizations which depend heavily on digital data systems use AI technologies to develop ...
Rongali, Sateesh Kumar   +1 more
openaire   +1 more source

Design and analysis strategies for robust microbiome ageing research

open access: yesFEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik   +5 more
wiley   +1 more source

Sensemaking with AI: How trust influences Human-AI collaboration in health and creative industries

open access: yesSocial Sciences and Humanities Open
This study investigates how trust influences human-AI collaboration within the health and creative sectors, where attitudes toward AI vary widely due to field-specific challenges and expectations.
Sarah J. Daly   +2 more
doaj   +1 more source

Harmonizing Horizons: The Symphony of Human-Machine Collaboration in the Age of AI [PDF]

open access: yesJournal of Systemics, Cybernetics and Informatics, 2023
This paper explores the field of human-machine collaboration in the era of artificial intelligence (AI). Using a strategy paper approach, the study synthesizes qualitative narratives, quantitative trends, and interdisciplinary viewpoints to formulate ...
Birgit Oberer, Alptekin Erkollar
doaj  

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

open access: yesFEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri   +5 more
wiley   +1 more source

AI literacy and trust: A multi-method study of Human-GAI team collaboration

open access: yesComputers in Human Behavior: Artificial Humans
As artificial intelligence (AI) becomes increasingly integrated into team settings for collaboration with humans, understanding the dynamics of trust and AI literacy is essential for enhancing team effectiveness.
Zilong Pan   +3 more
doaj   +1 more source

Emerging experimental and computational methods for studying redox‐regulated structural transitions

open access: yesFEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass   +2 more
wiley   +1 more source

Communicating Common Goal Knowledge Improves Trust-Calibration in Human-AI Collaboration

open access: yes
In Human-AI collaboration, human agents often have a clear goal in mind and the AI Assistant tries to help users achieve their goals more efficiently. However, inferring users’ goals is non-trivial based on noisy user behavior and there is often mismatch
Ying, Lance, Gajos, Krzysztof
core   +4 more sources

Examining human–AI collaboration in hybrid intelligence learning environments: insight from the Synergy Degree Model

open access: yesHumanities & Social Sciences Communications
The integrating AI into teaching and learning has the potential to transform traditional classroom environments into hybrid intelligence learning environments, whereby human teachers and AI teachers (educational robots) work together synergistically to ...
Xinmei Kong   +4 more
doaj   +1 more source

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