scholarly journals Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research

AI & Society ◽  
2021 ◽  
Author(s):  
Milad Mirbabaie ◽  
Lennart Hofeditz ◽  
Nicholas R. J. Frick ◽  
Stefan Stieglitz
Keyword(s):  
Artificial Intelligence ◽  
Citation Network ◽  
Status Quo ◽  
Biomedical Ethics ◽  
Future Research ◽  
Ethical Considerations ◽  
Ethical Discourse ◽  
The Status ◽  
Clinical Environments ◽  
Research Questions

AbstractThe application of artificial intelligence (AI) in hospitals yields many advantages but also confronts healthcare with ethical questions and challenges. While various disciplines have conducted specific research on the ethical considerations of AI in hospitals, the literature still requires a holistic overview. By conducting a systematic discourse approach highlighted by expert interviews with healthcare specialists, we identified the status quo of interdisciplinary research in academia on ethical considerations and dimensions of AI in hospitals. We found 15 fundamental manuscripts by constructing a citation network for the ethical discourse, and we extracted actionable principles and their relationships. We provide an agenda to guide academia, framed under the principles of biomedical ethics. We provide an understanding of the current ethical discourse of AI in clinical environments, identify where further research is pressingly needed, and discuss additional research questions that should be addressed. We also guide practitioners to acknowledge AI-related benefits in hospitals and to understand the related ethical concerns.

scholarly journals Is it alright to use artificial intelligence in digital health? A systematic literature review on ethical considerations

2021 ◽  
Vol 27 (4) ◽  
pp. 146045822110523
Author(s):  
Nicholas RJ Möllmann ◽  
Milad Mirbabaie ◽  
Stefan Stieglitz
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Digital Health ◽  
Status Quo ◽  
Ethical Principles ◽  
Ethical Considerations ◽  
Autonomous Decision ◽  
The Status

The application of artificial intelligence (AI) not only yields in advantages for healthcare but raises several ethical questions. Extant research on ethical considerations of AI in digital health is quite sparse and a holistic overview is lacking. A systematic literature review searching across 853 peer-reviewed journals and conferences yielded in 50 relevant articles categorized in five major ethical principles: beneficence, non-maleficence, autonomy, justice, and explicability. The ethical landscape of AI in digital health is portrayed including a snapshot guiding future development. The status quo highlights potential areas with little empirical but required research. Less explored areas with remaining ethical questions are validated and guide scholars’ efforts by outlining an overview of addressed ethical principles and intensity of studies including correlations. Practitioners understand novel questions AI raises eventually leading to properly regulated implementations and further comprehend that society is on its way from supporting technologies to autonomous decision-making systems.

scholarly journals Limits of artificial intelligence in controlling and the ways forward: a call for future accounting research

2021 ◽  
Vol 22 (2) ◽  
pp. 365-382
Author(s):  
Heimo Losbichler ◽  
Othmar M. Lehner
Keyword(s):  
Artificial Intelligence ◽  
Information Processing ◽  
Complex Systems ◽  
Research Agenda ◽  
Future Research ◽  
Ethical Considerations ◽  
Content Type ◽  
Previous Discussion ◽  
Research Questions ◽  
Methodological Considerations

PurposeLooking at the limits of artificial intelligence (AI) and controlling based on complexity and system-theoretical deliberations, the authors aimed to derive a future outlook of the possible applications and provide insights into a future complementary of human–machine information processing. Derived from these examples, the authors propose a research agenda in five areas to further the field.Design/methodology/approachThis article is conceptual in its nature, yet a theoretically informed semi-systematic literature review from various disciplines together with empirically validated future research questions provides the background of the overall narration.FindingsAI is found to be severely limited in its application to controlling and is discussed from the perspectives of complexity and cybernetics. A total of three such limits, namely the Bremermann limit, the problems with a partial detectability and controllability of complex systems and the inherent biases in the complementarity of human and machine information processing, are presented as salient and representative examples. The authors then go on and carefully illustrate how a human–machine collaboration could look like depending on the specifics of the task and the environment. With this, the authors propose different angles on future research that could revolutionise the application of AI in accounting leadership.Research limitations/implicationsFuture research on the value promises of AI in controlling needs to take into account physical and computational effects and may embrace a complexity lens.Practical implicationsAI may have severe limits in its application for accounting and controlling because of the vast amount of information in complex systems.Originality/valueThe research agenda consists of five areas that are derived from the previous discussion. These areas are as follows: organisational transformation, human–machine collaboration, regulation, technological innovation and ethical considerations. For each of these areas, the research questions, potential theoretical underpinnings as well as methodological considerations are provided.

scholarly journals AI MSK clinical applications: spine imaging

2021 ◽  
Author(s):  
Florian A. Huber ◽  
Roman Guggenberger
Keyword(s):  
Artificial Intelligence ◽  
Clinical Application ◽  
Value Chain ◽  
Clinical Applications ◽  
Status Quo ◽  
Use Cases ◽  
Musculoskeletal Imaging ◽  
Future Perspective ◽  
Spine Imaging ◽  
The Status

AbstractRecent investigations have focused on the clinical application of artificial intelligence (AI) for tasks specifically addressing the musculoskeletal imaging routine. Several AI applications have been dedicated to optimizing the radiology value chain in spine imaging, independent from modality or specific application. This review aims to summarize the status quo and future perspective regarding utilization of AI for spine imaging. First, the basics of AI concepts are clarified. Second, the different tasks and use cases for AI applications in spine imaging are discussed and illustrated by examples. Finally, the authors of this review present their personal perception of AI in daily imaging and discuss future chances and challenges that come along with AI-based solutions.

scholarly journals Research on the Literature of Green Building Based on the Web of Science: A Scientometric Analysis in CiteSpace (2002–2018)

2019 ◽  
Vol 11 (13) ◽  
pp. 3716 ◽  
Author(s):  
Yingling Shi ◽  
Xinping Liu
Keyword(s):  
Web Of Science ◽  
Green Building ◽  
Development Trend ◽  
Status Quo ◽  
Future Research ◽  
Building Industry ◽  
Scientometric Analysis ◽  
The Past ◽  
Evolution Pattern ◽  
The Status

Since the 21st century, the concept of green building has been gradually popularized and implemented in more countries, which has become a popular direction in the area of sustainability in the building industry. Over the past few decades, many scholars and experts have done extensive research on green building. The purpose of this paper is to systematically analyze and visualize the status quo of green building. Therefore, based on Web of Science (WoS), this paper analyzed the existing knowledge system of green building using CiteSpace, identified keywords related to green building and their frequency of occurrence using the function of keyword co-occurrence analysis, recognized five clusters using the function of cluster analysis, and explored the knowledge evolution pattern of green building using citation bursts analysis in order to reveal how research related to green building has evolved over time. On the basis of aforementioned keywords, clusters, and citation bursts analysis, this paper has built a knowledge graph for green building. This paper can help readers to better understand the status quo and development trend of green building and to easier recognize the shortcomings in the development of green building, so as to provide a promising direction for future research.

International Innovation Collaboration in China

2021 ◽  
pp. 501-524
Author(s):  
Kaihua Chen ◽  
Ze Feng ◽  
Xiaolan Fu
Keyword(s):  
Economic Growth ◽  
Critical Period ◽  
Structural Adjustment ◽  
Research Collaboration ◽  
Status Quo ◽  
Future Research ◽  
Present Stage ◽  
Research Areas ◽  
The Status ◽  
Innovation Cooperation

At present, China is in the critical period of economic growth transformation and structural adjustment. Strengthening international innovation cooperation is becoming extremely important. However, there are distinctive characteristics of international innovation collaboration that differ from domestic research collaboration, so that international innovation collaboration meets more challenges compared with other kinds of research collaboration. This chapter attempts to analyze China’s international innovation cooperation from a more macro level. Combining theory with practice, the chapter analyzes the necessity of international innovation cooperation, China’s practice and experience, and the status quo of China’s international cooperation. The chapter provides suggestions for solving the problems existing in the present stage. It also collates and forecasts the future research areas of international innovation cooperation.

The Future of eSports

2020 ◽  
pp. 149-164
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Data Privacy ◽  
Future Research ◽  
Business And Society ◽  
Regulatory Issues ◽  
The Future ◽  
Impossible Task ◽  
Research Questions

Predicting the future is a difficult and, arguably, impossible task. This final chapter builds on the past and present and explores macro-level trends and how they may impact the future of eSports. This includes issues related to data privacy, blockchain, artificial intelligence, virtual reality, 5G wireless, and major policy and regulatory issues that may challenge eSports. Together, these trends offer a framework to map out how eSports may impact both business and society. The final section of this chapter synthesizes the detailed research questions from each chapter to guide future research in the field of eSports.

Understanding Dynamic Transactions Between Personality Traits and Partner Relationships

2016 ◽  
Vol 25 (6) ◽  
pp. 411-416 ◽  
Author(s):  
Marcus Mund ◽  
Christine Finn ◽  
Birk Hagemeyer ◽  
Franz J. Neyer
Keyword(s):  
Personality Traits ◽  
Status Quo ◽  
Future Research ◽  
Dynamic Nature ◽  
Functional Perspective ◽  
The Status ◽  
Partner Relationships ◽  
The One ◽  
Analysis Models ◽  
The Relationship

When examining the associations between personality traits and partner relationships, the majority of studies have focused on the one-way effects of personality traits on the quality and stability of relationships. Recent work, however, has shown that relationships likewise retroact on personality traits and their development. Apart from these mutual influences, recent studies have also emphasized the necessity of considering both members of a couple in order to understand how their personalities and perceptions of the relationship interact. We review the status quo of research on personality-relationship transactions and outline suggestions for future research that move the focus from predicting the interplay between the two domains to explaining how personality traits and partner relationships dynamically interact. Specifically, we propose the need for (a) a functional perspective on personality traits, (b) a differentiated view of behavior, and (c) acknowledgment of the dynamic nature of traits and relationships in appropriate analysis models.

scholarly journals Liminality and the diplomacy of the British Overseas Territories: An assemblage approach

2017 ◽  
Vol 36 (1) ◽  
pp. 139-158 ◽  
Author(s):  
Fiona McConnell ◽  
Jason Dittmer
Keyword(s):  
Volcanic Eruption ◽  
Science And Technology Studies ◽  
Cultural Anthropology ◽  
Status Quo ◽  
Future Research ◽  
Falkland Islands ◽  
Foreseeable Future ◽  
Assemblage Theory ◽  
The Status ◽  
Overseas Territories

This paper examines diplomatic processes that compose our geopolitical world as dynamic and yet also seemingly affirm the status quo. It turns attention to the entrepreneurial creativity of individual diplomats, the transformations occurring at threshold moments, spaces and practices, and the materiality of diplomacy that exceeds human agency. The paper does so by forging an innovative dialogue between assemblage theory and the notion of liminality as developed in cultural anthropology, and by focusing on a hitherto overlooked set of diplomatic actors: British Overseas Territories. Three vignettes of Overseas Territory diplomacy are traced: an account of the liminal subjectivity of London-based Overseas Territory representatives, the 1982 Argentinian invasion that tipped the Falkland Islands into a state of greater autonomy, and the geophysical ‘tipping point’ of the 1997 volcanic eruption on Montserrat that made the island dependent for the foreseeable future. The paper concludes by noting potential avenues of future research that the synergy between liminality and assemblage may open up in the fields of Science and Technology Studies, anthropology, and geography.

scholarly journals What Do We Know about Algorithmic Literacy? The Status Quo and a Research Agenda for a Growing Field

2021 ◽  
Author(s):  
Anne Oeldorf-Hirsch ◽  
German Neubaum
Keyword(s):  
Empirical Research ◽  
Research Agenda ◽  
User Behavior ◽  
Status Quo ◽  
Theory Building ◽  
Measurement Development ◽  
Future Research ◽  
The Status ◽  
Different Dimensions ◽  
The Relationship

The increasing emergence of algorithms in our daily use of technologies comes with a growing field of empirical research trying to understand how aware and knowledgeable individuals are about algorithms. This field is marked by a certain diversity in terms of how it theorizes and measures people’s literacy when interacting with algorithms. We propose converging on the term algorithmic literacy that covers different dimensions used by previous research. This article summarizes the state of knowledge on algorithmic literacy by systematically presenting initial steps in theory building and measurement development. Drawing on this, we propose an agenda including five different directions that future research could focus on: 1) theory building to understand algorithmic literacy, 2) addressing the algorithmic divide, 3) uncovering the relationship between algorithmic literacy and attitudes, 4) examining algorithmic literacy as predictor for user behavior, and 5) exploring ways to increase algorithmic literacy.

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