Results 51 to 60 of about 9,872,600 (246)

How the Human–Artificial Intelligence (AI) Collaboration Affects Cyberloafing: An AI Identity Perspective

Behavioral Sciences
Collaboration with artificial intelligence (AI) not only improves employees’ work efficiency but also provides them with opportunities to participate in other behaviors.
Jin-Qian Xu, Tung-Ju Wu, Wen-Yan Duan, Xuan-Xuan Cui   +3 more
doaj   +1 more source

The PRIMA Thesaurus for Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa, Alexey Boubnov, Dario De Angelis, Catriona Eschke, Maximilian Kabbe, Felix Kraus, Mirco Panighel, Richard Thelen, Davide Valentinis   +8 more
wiley   +1 more source

Dull, dirty, and dangerous facets of human-AI collaboration for psychotherapy

Frontiers in Human Dynamics
Despite an abundance of optimism surrounding the transformational potential of artificial intelligence (AI) in psychotherapy, it has become increasingly important to consider ethics and the risk-benefit tradeoff of these novel systems.
Nathaniel Swinger, Cynthia M. Baseman, Rosa I. Arriaga   +2 more
doaj   +1 more source

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

Advanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling, Philipp von Hartrott, Jörg Waitelonis, Thomas Hanke, Henk Birkholz, Hossein Beygi Nasrabadi, Khashayar Razghandi, Kamilla Zaripova, Felix Thonagel, Fabian Neuhaus, Martin Glauer, Lars Vogt, Harald Sack, Lutz Mädler, Bernd Bayerlein, Chris Eberl   +15 more
wiley   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

Effective Stereotypical Bias Detection: The Impact of Human-AI Collaboration Modes on Human Reliance on AI Recommendation [PDF]

As artificial intelligence (AI) increasingly supports human decision-making across various domains, from hiring processes to legal judgments, understanding how to optimize human-AI collaboration is crucial for developing trustworthy and effective systems.
Mou, Danlei, Tong, Jiawei, Cui, Tingru, DU, Bo, Holtta-Otto, Katja   +4 more
core  

Human State Recognition in Human-AI Interaction

In recent years, there has been an increasing attention from researchers on the development of artificial intelligence (AI) systems grounded in the principle of "human-centered" approach, leading to the emergence of the concept of "human ...
Liu, Ye
core   +1 more source

Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs

Advanced Engineering Materials, EarlyView.
The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen, Osamu Waseda, Bernd Bayerlein, Simon Stier, Steffen Brinckmann, Abril Azócar Guzmán, Sarath Menon, Matthias A. Popp, Jesper R. Pedersen, Ivano E. Castelli, Jörg Waitelonis, Wolfgang Wenzel, Jörg Neugebauer, Jörg Schaarschmidt, Tilmann Hickel   +14 more
wiley   +1 more source

AI Cockpit - A Meaningful Human Control Interface for Mitigating AI Risks for Hybrid Intelligence Systems

225239As artificial intelligence (AI) systems become increasingly integrated into critical decision-making processes, ensuring their reliability, transparency, and safety is essential.
Zarbock, Markus, Basedow, Natalie, Vukelic, Mathias, Tagalidou, Nektaria, Bui, Michael, Hübner, Anett, Aschenbrenner, Doris, Yilmaz, Nadine   +7 more
core   +1 more source

“There is No ‘AI’ in ‘TEAM’! Or is there?” – Towards meaningful human-AI collaboration

Australasian Journal of Information Systems
AI is increasingly embedded in collaborative processes, challenging traditional notions of teamwork. While AI lacks consciousness and human-like intentionality, its ability to shape decision-making, structure interactions, and contribute to shared ...
Alexander Richter, Gerhard Schwabe
doaj   +1 more source