Results 51 to 60 of about 9,872,649 (283)

Human-AI Collaboration with Misaligned Preferences

Proceedings of the 5th ACM Conference on Equity and Access in Algorithms, Mechanisms, and Optimization
In many real-life settings, algorithms play the role of assistants, while humans ultimately make the final decision. Often, algorithms specifically act as curators, narrowing down a wide range of options into a smaller subset that the human picks between: consider content recommendation or chatbot responses to questions with multiple valid answers ...
Jiaxin Song, Parnian Shahkar, Kate Donahue, Bhaskar Ray Chaudhury   +3 more
openaire   +3 more sources

Field Report from Collaborative Research Center 1625: Heterogeneous Research Data Management Using Ontology Representations

Advanced Engineering Materials, EarlyView.
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed, Samuel García Vázquez, Behnam Mardani, Victor Dudarev, Alfred Ludwig, Maribel Acosta, Markus Stricker   +6 more
wiley   +1 more source

Latest Developments of Gesture Recognition for Human–Robot Collaboration

, 2021
Recently, the concept of human-robot collaboration has raised many research interests. Instead of robots replacing human operators in workplaces, human-robot collaboration is the direction that allows human operators and robots to work together. Although
Hongyi Liu, Wang, Lihui,, Liu, Hongyi,, Lihui Wang   +3 more
core   +1 more source

Employee–AI Collaboration and Career Sustainability: The Role of Job Crafting and AI Job Role Clarity

Behavioral Sciences
Artificial intelligence (AI) is reshaping the global labor market and creating both challenges and opportunities for employees. This study conceptualizes AI as a collaborative partner in the workplace and examines how employee–AI collaboration relates to
Huiling Jiang, Yuanyuan Zhang, Shumin Yan   +2 more
doaj   +1 more source

Founding Editorial: Neuro‐Drug Discovery

Neuro-Drug Discovery, EarlyView.
Wenbin Li
wiley   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

Advanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour, Prithwish Tarafder, Anton Wiberg, Huanyu Li, Johan Moverare, Patrick Lambrix   +5 more
wiley   +1 more source

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