Results 21 to 30 of about 9,872,600 (246)

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

Computers 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, Ozias A. Moore, Antigoni Papadimitriou, Jiayan Zhu   +3 more
doaj   +1 more source

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

FEBS 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, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

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

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

Humanities & 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, Haiguang Fang, Wenli Chen, Jianjun Xiao, Muhua Zhang   +4 more
doaj   +1 more source

Stimulator of interferon genes agonist augmented antitumor immunity of osimertinib in Egfr‐mutated lung cancer

Molecular Oncology, EarlyView.
Combining osimertinib with the STING agonist ADU‐S100 activates innate and adaptive immunity to overcome the non‐inflamed microenvironment of Egfr‐mutant lung cancer. This combination increases NK and CD8+ T‐cell infiltration, associated with activation of the STING‐IRF3 pathway and local immunogenic cell death.
Jun Nishimura, Tadahiro Kuribayashi, Johannes Brägelmann, Sachi Okawa, Masataka Taoka, Shunta Mori, Tomoka Nishimura, Takaaki Tanaka, Go Makimoto, Kiichiro Ninomiya, Kammei Rai, Eiki Ichihara, Ryohei Katayama, Katsuyuki Hotta, Masahiro Tabata, Yosuke Togashi, Yoshinobu Maeda, Martin L. Sos, Katsuyuki Kiura, Kadoaki Ohashi   +19 more
wiley   +1 more source

Exploring the synergistic collaboration of Human Agentic-AI in enhancing the security of the software development lifecycle

Egyptian Informatics Journal
Background: The increasing complexity and sophistication of cyber threats have heightened the need for robust security mechanisms throughout the Software Development Lifecycle (SDLC).
Sarra Ayouni, Rafiq Ahmad Khan, Mohamed Maddeh, Hathal Salamah Alwageed, Ismail Keshta, Alaa Omran Almagrabi   +5 more
doaj   +1 more source

How Employee–AI Collaboration Influences Coworkers’ Helping Behaviour: An Attribution Theory Perspective

Behavioral Sciences
As artificial intelligence (AI) is increasingly integrated into the workplace, employee–AI collaboration is evolving from a personal productivity tool to a social cue that coworkers can observe and interpret.
Yepeng Wu, Yuanyuan Jiao
doaj   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Collaboration in the Machine Age: Trustworthy Human-AI Collaboration

, 2022
International audienceCollaboration in the machine age will increasingly involve collaboration with Artificial Intelligence (AI) technologies. This chapter aims to provide insights in the state of the art of AI developments in relation to human-AI ...
Brun, Armelle, Nabeth, Thierry, Liana Razmerita, Thierry Nabeth, Razmerita, Liana, Armelle Brun   +5 more
core   +1 more source

From Automation to Collaboration: Mapping AI–Human Interaction in Organizations Through Bibliometric Analysis

AI
Artificial intelligence (AI) increasingly permeates organizational work, yet research on AI–human collaboration remains fragmented and lacks a unified structure.
Elissar Abdul Khalek, Jeffrey Macias, Itamar Shabtai   +2 more
doaj   +1 more source