Analysis of the Status Quo of Artificial Intelligence Research in Shandong Province, China

2019 ◽  
Author(s):  
Mingjun Zhang ◽  
Statyvka Yurii Ivanovych ◽  
Shiwei Zhu ◽  
Junfeng Yu ◽  
Beibei Xu ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Status Quo ◽  
Shandong Province ◽  
Artificial Intelligence Research ◽  
The Status

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 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.

Integration of Artificial Intelligence Into Austrian Journalism

2021 ◽  
pp. 182-200
Author(s):  
Cigdem Elikci
Keyword(s):  
Artificial Intelligence ◽  
Natural Language ◽  
Natural Language Generation ◽  
Status Quo ◽  
Potential Threat ◽  
Language Generation ◽  
News Consumption ◽  
The Status ◽  
Filter Bubbles

This chapter aims to highlight the changes that journalism in Austria should expect. The authors analyse the data collected on Austrians' habits of consuming news through intelligent virtual assistants (IVAs). Furthermore, the importance and potential of the devices run by artificial intelligence (AI), such as IVAs and natural language generation software, are highlighted. The status quo and Austrian journalists' knowledge about IVAs and their predictions about the attitude of citizens towards those devices are outlined. AI in journalism industry is not only discussed as an assistant to ease the workflow of journalists in Austria; it is also represented as a potential threat which creates filter bubbles due to personalized news consumption through IVAs.

scholarly journals Fairness, accountability and transparency: notes on algorithmic decision-making in criminal justice

2019 ◽  
Vol 15 (2) ◽  
pp. 126-139 ◽  
Author(s):  
Vincent Chiao
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Big Data ◽  
Criminal Justice ◽  
Status Quo ◽  
Policy Makers ◽  
Know How ◽  
The Status ◽  
Predictive Software

AbstractOver the last few years, legal scholars, policy-makers, activists and others have generated a vast and rapidly expanding literature concerning the ethical ramifications of using artificial intelligence, machine learning, big data and predictive software in criminal justice contexts. These concerns can be clustered under the headings of fairness, accountability and transparency. First, can we trust technology to be fair, especially given that the data on which the technology is based are biased in various ways? Second, whom can we blame if the technology goes wrong, as it inevitably will on occasion? Finally, does it matter if we do not know how an algorithm works or, relatedly, cannot understand how it reached its decision? I argue that, while these are serious concerns, they are not irresolvable. More importantly, the very same concerns of fairness, accountability and transparency apply, with even greater urgency, to existing modes of decision-making in criminal justice. The question, hence, is comparative: can algorithmic modes of decision-making improve upon the status quo in criminal justice? There is unlikely to be a categorical answer to this question, although there are some reasons for cautious optimism.

scholarly journals International Cooperation Among Artificial Intelligence Research Teams Based on Regional Cooperation Models

2020 ◽  
Vol 5 (1) ◽  
pp. 147-158
Author(s):  
Jiajun Cao ◽  
Yuefen Wang
Keyword(s):  
Artificial Intelligence ◽  
International Cooperation ◽  
Regional Cooperation ◽  
Scientific Cooperation ◽  
Basic Algorithm ◽  
Research Teams ◽  
Artificial Intelligence Research ◽  
Core Technology ◽  
The Status ◽  
The Difference

AbstractThe paper explores the regional cooperation model and the differences among artificial intelligence research teams. It is helpful to reveal the status and strategies of scientific cooperation models across regions or within regions. We identified the world of artificial intelligence research teams with co-authorship network, and then identified the leading team based on the Number of Publications, Number of Citations, H-index, Weighted Degree Centrality, Betweenness Centrality, and Closeness Centrality. Based on the identified artificial intelligence research leading teams, this paper divides different types of cooperation models by region and comprehensively analyzed the three aspects of geographical distribution, cooperation indicators, and cooperation topics in the research teams from the perspective of comparisons. In order to find the international gap between China and other countries, we still highlight the difference between China's participation and non-participation in cooperation. The research results show that Chinese and their foreign research maintain close ties with major scientific research countries; international cooperation is widespread and is conducive to crossing into the leading team; China's domestic cooperation is higher than in other countries, and their domestic cooperation research is mainly manifested in the data processing and application level, while the core technology and basic algorithm levels need to cooperate with foreign countries.

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 AKUNTAN 4.0: RODA PENGGERAK NILAI KEBERLANJUTAN PERUSAHAAN MELALUI ARTIFICIAL INTELLIGENCE & TECH ANALYTICS PADA ERA DISRUPTIF

2021 ◽  
Vol 16 (2) ◽  
pp. 87
Author(s):  
Belinda Azzahra
Keyword(s):  
Artificial Intelligence ◽  
Industrial Revolution ◽  
Corporate Sustainability ◽  
Status Quo ◽  
Strategic Thinking ◽  
Thinking Skill ◽  
University Of Oxford ◽  
The Future ◽  
The Status ◽  
Business Acumen

ABSTRACT Accountants has significant role to achieve corporate sustainability. However, with the advancement of technology, the existence of accountants starts to be questioned. According to a survey conducted by Osborne and Frey in 2013, University of Oxford, accountants has 94% chances to be replaced in the future. Based on these data, accountants are now entering the new era of disruption, which is provable by the existence of artificial intelligence. The future of business and accountants are entering grey area and sustainability is the most vital things to be discussed for now. To challenge the status quo, it is demanded for research about the role of accountant as value driver in digital era. In the future, young accountants must act as catalysts of value for business to ensure that every stakeholder get benefit. Therefore, at least there are five strategies that accountants could prepare, which are: understanding of business acumen, technological savvy, storytelling skill, fundamental data skill, and strategic thinking skill. I believe with these five strategies, accountants profession will still exist and not being the ‘disrupted’ but the ‘disruptor’ of Industrial Revolution 4.0 era.Keywords: accountants, artificial intelligence, corporate sustainability, disruptive era, value-driven ABSTRAK Akuntan memiliki peran penting untuk mencapai keberlanjutan perusahaan. Namun dengan kemajuan teknologi, keberadaan akuntan mulai dipertanyakan. Menurut survei yang dilakukan oleh Osborne dan Frey pada tahun 2013, Universitas Oxford, akuntan memiliki peluang 94% untuk diganti di masa depan. Berdasarkan data tersebut, akuntan kini memasuki era baru disrupsi, yang dibuktikan dengan adanya kecerdasan buatan. Masa depan bisnis dan akuntan memasuki wilayah abu-abu dan keberlanjutan adalah hal yang paling vital untuk dibahas untuk saat ini. Untuk menantang status quo, diperlukan penelitian tentang peran akuntan sebagai value driver di era digital. Di masa depan, akuntan muda harus bertindak sebagai katalis nilai bagi bisnis untuk memastikan bahwa setiap pemangku kepentingan mendapatkan manfaat. Oleh karena itu, setidaknya ada lima strategi yang dapat disiapkan akuntan, yaitu: pemahaman business acumen, technology savvy, storytelling skill, fundamental data skill, dan strategic thinking skill. Saya yakin dengan lima strategi ini, profesi akuntan akan tetap eksis dan bukan menjadi ‘didisrupsi’ melainkan ‘pengganggu’ era Revolusi Industri 4.0.Kata kunci: akuntan, kecerdasan buatan, keberlanjutan perusahaan, era disrupsi, value-driven 

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