25 papers · ranked by Valyu relevance
Tharindu Kaluarachchi, Andrew Reis, Suranga Nanayakkara, Biswanath Samanta
'Biswanath Samanta'] After Deep Learning (DL) regained popularity recently, the Artificial Intelligence (AI) or Machine Learning (ML) field is undergoing rapid growth concerning research and real-world application development. Deep Learning has generated complexities in algorithms, and researchers and users have raised…
Andreas Holzinger, Anna Saranti, Alessa Angerschmid, Carl Orge Retzlaff + 8 more
'Carl Orge Retzlaff' 'Andreas Gronauer' 'Vladimir Pejakovic' 'Francisco Medel-Jimenez' 'Theresa Krexner' 'Christoph Gollob' 'Karl Stampfer' 'Roberto Sabatini' 'Alessandro Gardi'] The main impetus for the global efforts toward the current digital transformation in almost all areas of our daily lives is due to the great…
Maria Chiara Caschera, Patrizia Grifoni, Francesca Cordella
Human behavior and communication are inherently complex. This complexity is mirrored in the interactions between humans and machines, which are influenced by the characteristics of communication and human behavior. Humans can convey intricate messages using various interaction modalities, such as voice, gestures…
Mark Riedl
Humans are increasingly coming into contact with artificial intelligence and machine learning systems. Human-centered artificial intelligence is a perspective on AI and ML that algorithms must be designed with awareness that they are part of a larger system consisting of humans. We lay forth an argument that…
Joseph B. Lyons, Kerianne Hobbs, Steve Rogers, Scott H. Clouse
Although there is a rich history of philosophical definitions of ethics when applied to human behavior, applying the same concepts and principles to AI may be fraught with problems. Anthropomorphizing AI to have characteristics such as “ethics” may promote a dangerous, unrealistic expectation that AI can be trained to…
Annette Kluge, Uta Wilkens, Verena Nitsch, Corinna Peifer
[Hagemann et al.]() illustrate hybrid multi-team systems in which human-centered AI emphasize the need for team-centeredness that aligns goals, communication, and decision making with humans. They outline the requirements for such future work contexts with team-centered AI from a sociotechnical perspective, such as…
Athanasios Mazarakis, Christian Bernhard-Skala, Martin Braun, Isabella Peters
'Isabella Peters'] Human-centered artificial intelligence (HCAI) has gained momentum in the scientific discourse but still lacks clarity. In particular, disciplinary differences regarding the scope of HCAI have become apparent and were criticized, calling for a systematic mapping of conceptualizations-especially with…
Anton Sigfrids, Jaana Leikas, Henrikki Salo-Pöntinen, Emmi Koskimies
Human-centricity is considered a central aspect in the development and governance of artificial intelligence (AI). Various strategies and guidelines highlight the concept as a key goal. However, we argue that current uses of Human-Centered AI (HCAI) in policy documents and AI strategies risk downplaying promises of…
Luciano Serafini, Raul Barbosa, Jasmin Grosinger, Luca Iocchi + 8 more
'Christian Napoli' 'Salvatore Rinzivillo' 'Jacques Robin' 'Alessandro Saffiotti' 'Teresa Scantamburlo' 'Peter Schueller' 'Paolo Traverso' 'Javier Vázquez-Salceda'] Abstract. The burgeoning of AI has prompted recommendations that AI techniques should be "human-centered". However, there is no clear definition of what is…
Wei Xu, Liezhong Ge, Zaifeng Gao
The new characteristics of AI technology have brought new challenges to the research and development of AI systems. AI technology has benefited humans, but if improperly developed, it will harm humans. At present, there is no systematic interdisciplinary approach to effectively deal with these new challenges. This…
Yang Yue, Joseph Z. Shyu
This paper provides an overview of the development of Artificial General Intelligence (AGI) from a humanistic perspective. Drawing upon a range of sources, including academic literature and industry reports, the paper examines the evolution of AGI and the key technological and ethical challenges that are associated…
Wei Xu, Zaifeng Gao, Marvin J. Dainoff
—Human-centered AI (HCAI), as a design philosophy, advocates prioritizing humans in designing, developing, and deploying intelligent systems, aiming to maximize the benefits of AI technology to humans and avoid its potential adverse effects. While HCAI has gained momentum, the lack of guidance on methodology in its…
Wei Xu, Marvin J. Dainoff, Liezhong Ge, Zaifeng Gao
Wei Xu received his Ph.D. in Psychology with specialization in HCI/Human Factors and his M.S. in Computer Science from Miami University in 1997. He is a Professor of HCI/Human Factors at the Center for Psychological Sciences of Zhejiang University, China. His research interests include human-AI interaction…
Authors not listed
This work focuses on a novel human-centered digital assistant combining Mixed Reality (MR), Computer Vision and Machine Learning regression to guide professionals and students on how to operate and correctly parameterize battery manufacturing machinery. Our Concept article aim is to provide a proof of concept of our…
Le Cong, David Smerkous, Xiaotong Wang, Di Yin + 29 more
Modern science advances fastest when thought meets action. LabOS represents the first AI co-scientist that unites computational reasoning with physical experimentation through multimodal perception, self-evolving agents, and XR-enabled, embodied human-AI collaboration. To empower agentic AI with embodied intelligence…
Almir Aljović, Zuwan Lin, Wenbo Wang, Xinhe Zhang + 9 more
Behavior analysis across species represents a fundamental challenge in neuroscience, psychology, and ethology, typically requiring extensive expert knowledge and labor-intensive processes that limit research scalability and accessibility. We introduce BehaveAgent, an autonomous multimodal AI agent designed to automate…
Authors not listed
Artificial intelligence (AI) is poised to transform heterogeneous catalysis, ushering in a new paradigm for catalytic materials discovery. By uncovering intricate patterns in high-dimensional data, AI has been reshaping our pursuit of sustainable catalytic processes across the energy, environmental, and chemical…
Piyush Ahuja
Artificial Intelligence began as a field probing some of the most fundamental questions of science - the nature of intelligence and the design of intelligent artifacts. But it has grown into a discipline that is deeply entwined with commerce and society. Today's AI technology, such as expert systems and intelligent…
Authors not listed
As the utilization of artificial intelligence (AI) and generative AI (GenAI) is expanding in the educational field, presenting significant implications for STEM disciplines, it is bringing opportunities to enhance how chemistry and chemical engineering are taught and learned. This perspective critically explores the…
Anthony M. Zador
Over the last decade, artificial neural networks (ANNs), have undergone a revolution, catalyzed in large part by better tools for supervised learning. However, training such networks requires enormous data sets of labeled examples, whereas young animals (including humans) typically learn with few or no labeled…
Iiris Sundin, Alexey Voronov, Haoping Xiao, Kostas Papadopoulos + 5 more
A de novo molecular design workflow can be used together with technologies such as reinforcement learning to navigate the chemical space. A bottleneck in the workflow that remains to be solved is how to integrate human feedback in the exploration of the chemical space to optimize molecules. A human drug designer still…
Authors not listed
Agentic artificial intelligence (AI) is poised to redefine how science is conducted, automating not just data analysis but the entire research lifecycle, from hypothesis generation to validation. Yet most current AI agents remain domain-bound, tailored to specific applications such as materials synthesis or quantum…
Luisa Roeder, Pamela Hoyte, Graham Kerr, Peter Bruza + 1 more
This study provides an integrated electrophysiological and behavioral account of the neuro-cognitive markers underlying trust evolution during human interaction with artificial intelligence (AI). Trust is essential for effective collaboration and plays a key role in realizing the benefits of human–AI teaming in…
Eve Florianne Fabre, Damien Mouratille, Vincent Bonnemains, Grazia Pia Palmiotti + 1 more
Artificial Intelligence (AI) is on the verge of impacting every domain of our lives. It is increasingly being used as an advisor to assist in making decisions. The present study aimed at investigating the influence of moral arguments provided by AI-advisors (i.e., decision aid tool) on human moral decision-making and…
Authors not listed
Step-by-step thinking is essential in all domains of chemical sciences and engineering. While machine learning tools are broadly used, algorithms that automate reasoning are far less common. We elaborate on seven categories of human reasoning activities and connect each to applications in chemical science and…