[Hcitaly] Special issue on Human-Centered Artificial Intelligence for One Health

*** Apologies for multiple posting *** ================================================= Special issue on Human-Centered AI for One Health to be published in the journal Artificial Intelligence in Medicine https://www.sciencedirect.com/journal/artificial-intelligence-in-medicine/a… ================================================= Overview -------- Artificial intelligence (AI) technologies can already significantly increase the efficiency of processes in many areas today and help people with everyday problems. However, there is still a lack of clarity as to how the benefits of AI can be effectively exploited and, at the same time, providing the reliability, security, traceability, explainability and thus the trustworthiness of the system for humans. AI is usually viewed from the perspective of autonomy: from autonomous behavior to autonomous decision making. In various contexts, a high degree of autonomy can be useful (although not without risks). However, another approach might be to use AI as a means to support and facilitate humans by complementing (and valuing) human cognitive abilities rather than replacing them. One particular approach is even to use human experiential knowledge, contextual understanding, and common sense to advantage, by means of human-in-the-loop, e.g., Deep Reinforcement Learning with the human-in-the-loop. All these approaches are grouped under the umbrella term Human-Centered Artificial Intelligence (HCAI). This new discipline aims to use AI technologies not only with and for humans, but also to develop them with successful Human-Computer Interaction (HCI) approaches. The ultimate goal is to design systems that complement, empower, and in no way replace human capabilities. This requires a strong integration of privacy, security and safety. HCAI researchers have the potential to create intelligent systems that are more reliable, safe and trustworthy for humans. This is important in all critical areas of life, such as healthcare and medical contexts, as well as health in general. This interdisciplinary field should result from cross-fertilization of research in health sciences, human-computer interaction, artificial intelligence, decision support systems, and natural language. For this special issue, original and high-quality articles are sought that provide an opportunity to demonstrate the progress of HCAI methods and tools and their application to the maintenance of human health. In particular, the “One Health” idea of the World Health Organization (WHO) is pushed, which is an approach calling for the collaborative efforts of multiple disciplines working locally, nationally, and globally, to attain optimal health for the human and the whole ecological environment. Topics of interest ------------------ Topics of interest include, but are not limited to: - HCAI approaches to support One Health - New user interfaces and modalities for a seamless interaction between human and AI designed with HCAI approaches, particularly on how a human-in-the-loop can be included - Methods and algorithms enabling a better human-AI collaboration - Methods and tools supporting humans to better understand decisions of AI-driven applications for one health - Empowerment of users of AI systems to reconfigure intelligent systems based on their experiences - Case studies and lesson learned from experimental evaluation of HCAI systems in medical and healthcare domains - Investigations of users’ mental models of AI systems in use - Analysis of users’ requirements and new work practices emerging from the use if AI in medical and healthcare domains - Deep-Reinforcement Learning with the human-in-the-loop Guest Editors ------------- Nadia Berthouze            University College London, UK, nadia.berthouze(a)ucl.ac.uk Paolo Buono                University of Bari, Italy, paolo.buono(a)uniba.it Maria Francesca Costabile  University of Bari, Italy, maria.costabile(a)uniba.it Adela Grando               Arizona State University, USA, adela.grando(a)asu.edu Andreas Holzinger          University of Natural Resources and Life Sciences Vienna, Austria, andreas.holzinger(a)human-centered.ai Submission ---------- This is a rolling issue. Manuscripts can be submitted at any time before the deadline. All submissions that pass editorial pre-check are sent to peer-review. Accepted papers will be published continuously in the journal (as soon as accepted). Response to the authors will be given at the earliest convenience of the editors. To help authors find a good fit, we encourage them to send proposals of about 1000 words that provide a clear indication of what the paper is about and how HCAI is addressed. Proposals will be evaluated for relevance to the special issue theme, and guidance will be given. Proposals that are not appropriate are desk rejected to save the authors' valuable time. Submission Guidelines --------------------- Submission of the full paper is via the online Elsevier Editorial System (https://www.editorialmanager.com/aiim). Authors should prepare the manuscript of their full paper according to the Instructions for Authors provided in the Guide for authors section of the journal webpage (https://www.elsevier.com/journals/artificial-intelligence-in-medicine/0933-…). When submitting the new manuscript, select “VSI: HCAI for One Health” as article type. Important Dates --------------- Proposal closing: 15th May 2023 Special issue closing (full paper final submission deadline): 15th October 2023  Questions? ---------- For questions regarding this special issue, please contact the Managing Guest Editor, Prof. Paolo Buono, paolo.buono(a)uniba.it -- --------------------------------------- Paolo Buono Associate Professor IVU Lab, Department of Computer Science University of Bari, Italy http://ivu.di.uniba.it/people/buono.htm ---------------------------------------