Article
Health Care Sciences & Services
Bertalan Mesko, Eric J. J. Topol
Summary: The rapid advancements in AI have led to the development of sophisticated large language models (LLMs) such as GPT-4 and Bard. The potential implementation of LLMs in healthcare settings has gained attention due to their diverse applications, but caution is necessary as these models are trained differently and require regulatory oversight to ensure safety and protect patient privacy. This paper provides practical recommendations for regulators to bring this vision to reality.
NPJ DIGITAL MEDICINE
(2023)
Article
Education & Educational Research
William Yat Wai Lo, Jack T. Lee, Dana Abdrasheva
Summary: This paper examines the global position of Hong Kong's higher education through investigating universities' participation in China's Belt and Road Initiative and Greater Bay Area development plan. It discusses the experience and perception of university leaders and academics in Hong Kong against a policy context that emphasizes deeper integration with Chinese national development. The theoretical dialogue reveals different scenarios for the future of Hong Kong's higher education and the link between changing geopolitical contexts and international higher education.
Article
Medicine, General & Internal
Corina Maria Vasile, Xavier Iriart
Summary: Advancements in AI have the potential to revolutionize echocardiography labs, improving diagnostic capabilities and patient care. Collaboration between experts, researchers, and stakeholders is crucial to establish standardized protocols and train professionals in AI implementation.
Article
Computer Science, Cybernetics
Xiaojuan Cao
Summary: This article examines the impact of AI tools on student learning outcomes in extracurricular online dance classes. The study introduces the use of innovative M-learning platforms and apps in interactive dance learning. An educational experiment was conducted among 40 students to assess the dance accomplishments in the control and experimental groups. The expert assessment suggests that additional online extracurricular activities contribute to better dance skills and the development of physical, presentation, and creative skills.
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER INTERACTION
(2023)
Article
Energy & Fuels
An-Chi Liu, Junyi Wang, Yiting Zhan, Chien-Jung Li, Yang Li
Summary: The research shows that the disclosure group in China's AI industry outperforms the non-disclosure group in terms of operating scales, efficiencies, and technologies, while the superior efficiency of state-owned enterprises mainly comes from the non-disclosure group. The government should mandate or actively encourage capable corporations, especially state-owned enterprises, to disclose sustainable development information in order to improve overall sustainable development. Additionally, a nationwide disclosure policy could be formulated regardless of regional development differences.
Article
Environmental Studies
Hao Zhang, Yuanyuan Zhang
Summary: The Chinese government considers natural gas as the preferred transition energy resource and is trying to increase its proportion in China's primary energy mix. The recent reform in China's natural gas sector focuses on breaking down vertical integration and developing a more market-based pricing system. The previous reform was a gradual process lacking systematic planning and a strong regulatory system. The latest reform shows a more systematic approach with improved political will, but it faces challenges due to political imperatives and regulatory uncertainty.
JOURNAL OF ENERGY & NATURAL RESOURCES LAW
(2023)
Editorial Material
Multidisciplinary Sciences
Simon Baker
Summary: The rapid progress of technology offers both interdisciplinary opportunities and ongoing ethical and social concerns.
Editorial Material
Computer Science, Hardware & Architecture
Deborah G. Johnson, Mario Verdicchio
Summary: The equation Ethics + AI = Ethical AI is questionable.
COMMUNICATIONS OF THE ACM
(2023)
Editorial Material
Microbiology
J. T. Lennon, S. D. W. Frost, N. K. Nguyen, A. L. Peralta, A. R. Place, K. K. Treseder
Summary: Climate change is a complex problem that requires collaboration between different disciplines to understand, predict, and mitigate its impacts. This article provides case studies demonstrating how teams with diverse perspectives can offer valuable insights related to climate change. Microbiologists can contribute to transdisciplinary research by expanding their expertise and engaging in efforts to develop scalable technologies and adoptable policies.
Article
Geriatrics & Gerontology
Sheryl Zimmerman, Paula Carder, Lindsay Schwartz, Johanna Silbersack, Helena Temkin-Greener, Kali S. Thomas, Kimberly Ward, Robert Jenkens, Liz Jensen, Alfred C. Johnson, Jed Johnson, Tim Johnston, Loretta Kaes, Paul Katz, Juliet Holt Klinger, Cathy Lieblich, Beth Mace, Kevin O'Neil, Douglas D. Pace, Kezia Scales, Robyn Stone, Sarah Thomas, Paul J. Williams, Keren Brown Williams
Summary: Assisted living (AL) is a care model that has evolved to meet the supportive care needs of older adults. However, the involvement of real estate, hospitality, and healthcare sectors has raised concerns about the variability, quality, and standards of AL. Despite the intention to provide person-centered care and quality of life, tensions related to AL models, regulation, financing, resident acuity, and the workforce have caused a deviation from the original constructs. This article presents the background of these tensions and potential solutions for a better future of AL.
JOURNAL OF THE AMERICAN MEDICAL DIRECTORS ASSOCIATION
(2022)
Review
Biochemistry & Molecular Biology
Julian N. Acosta, Guido J. Falcone, Pranav Rajpurkar, Eric J. Topol
Summary: This Review discusses the potential applications, technical pitfalls, and challenges of multimodal artificial intelligence models in the field of health and medicine. By utilizing data from large biobanks, electronic health records, medical imaging, and genomics, multimodal AI solutions have the ability to capture the complexity of human health and disease. Key areas such as personalized medicine, digital clinical trials, remote monitoring and care, pandemic surveillance, and virtual health assistants offer opportunities, but data, modeling, and privacy challenges need to be addressed for the full potential of multimodal AI in health to be realized.
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
Computer Science, Artificial Intelligence
Sourabh Balgi, Ambedkar Dukkipati
Summary: Recent domain adaptation works often face the challenge of aligning source and target domain distributions. To tackle this issue, this study proposes a direct approach to domain adaptation that does not require domain alignment. By learning contrastive features, the proposed model, Contradistinguisher, is able to distinguish the unlabeled target domain in an unsupervised manner while classifying the source domain in a supervised way.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2022)
Editorial Material
Computer Science, Artificial Intelligence
Piero P. P. Bonissone, Alessandro Liani
Summary: IEEE CAI 2023 is the first conference with an industry focus, covering six verticals including Industrial AI, AI in Healthcare/Life Science, Transportation/Aerospace, Energy, Earth System Decision Support, and Social Implications of AI/Privacy.
IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE
(2023)
Editorial Material
Multidisciplinary Sciences
Pamela Samuelson
Summary: Generative artificial intelligence is a disruptive technology that has been widely adopted by the general public, scientists, and technologists due to its potential to accelerate research. However, some professional artists, writers, and programmers strongly oppose the use of their creations as training data and the potential competition from generative AI outputs. Copyright lawsuits currently underway in the United States have significant implications for the future of generative AI systems.
