scholarly journals ON ARTIFICIAL INTELLIGENCE TALENT CULTIVATION IN CHINA FROM CASE STUDY

2021 ◽  
Author(s):  
XIAO-LONG LI
Keyword(s):  
Artificial Intelligence ◽  
Case Analysis ◽  
Decision Makers ◽  
Research Centers ◽  
Incentive Mechanisms ◽  
Four Dimensions ◽  
Academic Conference ◽  
Similarities And Differences

Through the case analysis of Carnegie Mellon University in the field of artificial intelligence in America. the similarities and differences of the above university in artificial intelligence talent cultivation were obtained from four dimensions: length of learning and degree, enrollment requirements, staff force construction and the offered curriculum. The conclusion could support the suggestions and advice for domestic policymakers and decision makers as follows: to promulgate the document of artificial intelligence talent cultivation pertinently as the guideline; to promote the new institutes construction of artificial intelligence and update the research centers of artificial intelligence; to improve the supporting incentive mechanisms such as scholarships, competitions and academic conference grants for the students in the direction of artificial intelligence.

scholarly journals Boundaries Between Research Ethics and Ethical Research Use in Artificial Intelligence Health Research

2021 ◽  
pp. 155626462110027
Author(s):  
Gabrielle Samuel ◽  
Jenn Chubb ◽  
Gemma Derrick
Keyword(s):  
Artificial Intelligence ◽  
Health Research ◽  
Decision Makers ◽  
Societal Impact ◽  
The Past ◽  
Research And Innovation ◽  
The United Kingdom ◽  
Responsible Research ◽  
Past Half

The governance of ethically acceptable research in higher education institutions has been under scrutiny over the past half a century. Concomitantly, recently, decision makers have required researchers to acknowledge the societal impact of their research, as well as anticipate and respond to ethical dimensions of this societal impact through responsible research and innovation principles. Using artificial intelligence population health research in the United Kingdom and Canada as a case study, we combine a mapping study of journal publications with 18 interviews with researchers to explore how the ethical dimensions associated with this societal impact are incorporated into research agendas. Researchers separated the ethical responsibility of their research with its societal impact. We discuss the implications for both researchers and actors across the Ethics Ecosystem.

scholarly journals Evaluating LNG Supply Chain Resilience Using SWOT Analysis: The Case of Qatar

Energies ◽  
2021 ◽  
Vol 15 (1) ◽  
pp. 79
Author(s):  
Sara Al-Haidous ◽  
Mohammed Al-Breiki ◽  
Yusuf Bicer ◽  
Tareq Al-Ansari
Keyword(s):  
Supply Chain ◽  
Swot Analysis ◽  
New Technologies ◽  
Liquefied Natural Gas ◽  
Decision Makers ◽  
Management Model ◽  
Supply Chain Resilience ◽  
Four Dimensions ◽  
Swot Matrix

The demand for liquefied natural gas (LNG) as an energy commodity is increasing, although its respective supply chain is subjected to risks, uncertainties, and disturbances. An analysis of experiences from the global LNG supply chain highlights many of these risks. As such, there is an incumbent need to develop resilient LNG supply chains. In this study, the risks associated with the LNG supply chain are categorized into four dimensions: Political and regulatory, safety and security, environmental effects, and reliability of new technologies. A SWOT method is then implemented to identify strengths, weaknesses, opportunities, and threats within the LNG supply chain, where the LNG supply chain of Qatar is considered as a case study. Relevant strategies are then recommended using a SWOT matrix to maximize strengths and opportunities, while avoiding or minimizing weaknesses and threats within the LNG supply chain. Finally, major parameters to be considered to develop a resilient LNG management model are listed based on the level of priority from LNG producer and receiver perspectives. Thus, as part of creating a robust LNG supply chain, decision-makers and stakeholders are urged to use the learnings from the SWOT analysis and experiences from LNG supply chain management.

Predicting Business Bankruptcy

2016 ◽  
Vol 5 (2) ◽  
pp. 48-65
Author(s):  
Rui Sarmento ◽  
Luís Trigo ◽  
Liliana Fonseca
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Financial Institutions ◽  
Broad Spectrum ◽  
Financial Distress ◽  
Sustainability Assessment ◽  
Business Environment ◽  
Decision Makers ◽  
Government Agencies

Managers, investors, financial institutions and government agencies have a major concern on forecasting enterprise bankruptcy. It enables the sustainability assessment of critical suppliers and clients, as well as competitors and the business environment. Throughout the 20th and the 21st century, advances in statistics and computer science fields enabled the development of different trends in financial distress assessment that co-exist today. However, recent Data Mining (DM) techniques are regarded as being the most precise. IT expertise requirements in the constantly evolving DM field may have been a major obstacle to the adoption of these techniques by decision makers. Furthermore, DM software tools that are now widespread offer a broad spectrum of Artificial Intelligence algorithms and the most difficult task may be the decision of selecting the appropriate algorithm. Hence, the adoption of a good workflow method for data processing and analysis is critical for having fast and reliable results. This work presents an overview of the available bankruptcy techniques and provides a comprehensive case study exploring the latest Data Mining techniques.

The Domestication of the Convention on the Rights of Persons with Disabilities

2018 ◽  
Author(s):  
Lisa Waddington
Keyword(s):  
Direct Effect ◽  
Legal Status ◽  
Case Law ◽  
Legal Systems ◽  
Persons With Disabilities ◽  
International Treaty ◽  
Four Dimensions ◽  
Relevant Case ◽  
Similarities And Differences ◽  
Domestic Law

This chapter reflects on jurisdiction-specific approaches to the domestication of the Convention on the Rights of Persons with Disabilities (CRPD), considering in particular the domestic legal status of the CRPD and the relevance of that legal status for case law. The chapter explores four dimensions of the CRPD’s legal status: direct effect; indirect interpretative effect (where the CRPD influences the interpretation given to domestic law); use of the CRPD because of commitments to another international treaty; and absence of domestic legal status. With the exception of the first category, all dimensions can potentially present themselves in legal systems which tend towards the monist approach as well as in those which tend towards the dualist approach. The chapter discusses examples of relevant case law and reflects on similarities and differences emerging from a comparison of that case law.

scholarly journals UNDERSTANDING SPECTRUM BIAS IN ALGORITHMS DERIVED BY ARTIFICIAL INTELLIGENCE A CASE STUDY IN DETECTING AORTIC STENOSIS USING ELECTROCARDIOGRAMS

2021 ◽  
Vol 77 (18) ◽  
pp. 3241
Author(s):  
Andrew S. Tseng ◽  
Michal Shelly-Cohen ◽  
Zachi Itzhak Attia ◽  
Peter Noseworthy ◽  
Paul Friedman ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Aortic Stenosis
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