Review
Computer Science, Artificial Intelligence
Cedric Colas, Tristan Karch, Clement Moulin-Frier, Pierre-Yves Oudeyer
Summary: This Perspective emphasizes the need to immerse autonomous agents into rich socio-cultural worlds to enhance their intrinsic motivation. By studying the role of language structure and informational content in artificial agents, we can facilitate the development of new cognitive functions.
NATURE MACHINE INTELLIGENCE
(2022)
Editorial Material
Multidisciplinary Sciences
Jack Leeming, Jack Leeming
Summary: Interdisciplinary collaborations are increasing, with artificial intelligence playing a key role in enhancing joint working efforts.
Article
Psychology, Multidisciplinary
Jianning Dang, Li Liu
Summary: This study examines the impact of people's implicit theories of the human mind on their competitive and cooperative responses to AI robots. It finds that people's belief in the malleability of the human mind is related to their responses, with a malleable theory predicting cooperative responses and a fixed theory predicting competitive responses. Additionally, Chinese participants exhibit fewer competitive responses and more cooperative responses to AI robots compared to British participants.
COMPUTERS IN HUMAN BEHAVIOR
(2022)
Article
Humanities, Multidisciplinary
Emma Dahlin
Summary: Research on artificial intelligence often focuses on separating technical and social issues, but it is important to bridge the gap between these analyses to ensure feasible and sustainable AI systems that benefit society. By exploring the connections between technical design and social implications, researchers can work towards prosperous collaborations and innovative solutions for the future of AI.
HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
(2021)
Article
Communication
Tanja Veronika Messingschlager, Markus Appel
Summary: Creative artificial intelligence (AI) has attracted attention, however, AI-generated artworks are often evaluated negatively due to the perception that AI lacks agency and experience. Two experiments show that AI is consistently attributed with less agency and experience compared to human artists, leading to lower appreciation of visual artworks.
NEW MEDIA & SOCIETY
(2023)
Article
Computer Science, Artificial Intelligence
Jocelyn Maclure
Summary: The article discusses the lack of transparency in machine learning-based AI algorithms and argues for a legal enforcement of strong explainability requirements for human organizations deciding to automate decision-making. The author suggests that developing interpretive AI algorithms is not the only answer to the explainability problem, and that social and institutional answers are also viable.
MINDS AND MACHINES
(2021)
Article
Meteorology & Atmospheric Sciences
Sue Ellen Haupt, David John Gagne, William W. Hsieh, Vladimir Krasnopolsky, Amy McGovern, Caren Marzban, William Moninger, Valliappa Lakshmanan, Philippe Tissot, John K. Williams
Summary: Artificial intelligence (AI) and machine learning (ML) have become important tools for environmental scientists and engineers in research and applications. Despite not being new, AI methods have significantly impacted the field of environmental science, with a recent resurgence in interest and development.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2022)
Article
History & Philosophy Of Science
Robin M. Muller
Summary: This paper critically examines the development of Merleau-Pontyan phenomenology and radical embodied cognitive science from Berlin-School Gestalt theory, highlighting Merleau-Ponty's adoption of an ontology of flesh. His arguments for this ontology rely on criticisms of Gestalt Psychology, leading him into a realm of romantic philosophy.
Article
Psychology, Multidisciplinary
Konstantinos Voudouris, Matthew Crosby, Benjamin Beyret, Jose Hernandez-Orallo, Murray Shanahan, Marta Halina, Lucy G. Cheke
Summary: Artificial Intelligence has made rapid progress in developing more sophisticated and powerful systems. However, recognizing the problems with modern machine learning approaches, AI benchmarking is shifting towards ability-oriented testing. The Animal-AI Environment is one such benchmark that applies ability-oriented testing to AI systems. In a comparison between children aged 6-10 and AI systems, it was found that children performed significantly better than the tested AIs, especially in complex cognitive tasks.
FRONTIERS IN PSYCHOLOGY
(2022)
Article
Multidisciplinary Sciences
Vikram Athalye, Emmanuel Haven
Summary: In this article, the authors argue that the use of causality and the idea of a similarly prepared ensemble of systems could be essential for constructing quantum physics-analogous probabilistic models of social reality. Plausibility arguments are provided through the analysis of two social situations described by discrete-time stochastic processes. This article is part of a theme issue that aims to bridge the natural and social sciences through the exploration of thermodynamics.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Fei-Yue Wang, Wenwen Ding, Xiao Wang, Jon Garibaldi, Siyu Teng, Rudas Imre, Cristina Olaverri-Monreal
Summary: This article discusses the impact and significance of the autonomous science movement and the role and potential uses of intelligent technology in DAO-based decentralized science organizations. It also explores the potential contributions of DeSci to multidisciplinary studies and its relationship with social movement organizations and cyber movement organizations. The article addresses issues on DeSci to current professional communities and reviews the effort for the framework and process of DAO-based DeSci.
IEEE INTELLIGENT SYSTEMS
(2022)
Review
Education & Educational Research
Bahar Memarian, Tenzin Doleck
Summary: This article reviews the relationship between embodied education and artificial intelligence, finding that the mind's participation is most significant. The research focuses more on the technical aspects of embodied AI in education, while paying less attention to other learner needs.
EDUCATION AND INFORMATION TECHNOLOGIES
(2023)
Editorial Material
Oncology
Olivier Gevaert
Summary: Meta-learning shows promise in recent genomic studies in oncology by facilitating transfer learning and reducing data requirements through knowledge transfer from abundant genomic data, enabling the use of AI in data-scarce scenarios.
BRITISH JOURNAL OF CANCER
(2021)
Article
Health Care Sciences & Services
Bruno Fuchs, Gabriela Studer, Beata Bode-Lesniewska, Philip Heesen
Summary: This perspective article explores the opportunities and challenges of leveraging digital health and artificial intelligence in sarcoma care. The authors delineate the current state-of-the-art methodologies and technologies in sarcoma care, and emphasize the need for high-quality data and ethical considerations. The paper concludes with proposals for future research and a call to action for multidisciplinary collaboration and systemic adoption of these technologies.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Multidisciplinary Sciences
Michelle N. Shiota
Summary: The human mind is unique in its ability to form, store, and manipulate elaborate conceptual models of the world, yet these models have inevitable gaps. Psychology research has uncovered distinctive implications of awe for how we perceive our environment and ourselves. Awe, accessible in everyday life, can be a valuable tool for enhancing well-being.
ANNALS OF THE NEW YORK ACADEMY OF SCIENCES
(2021)
