scholarly journals A Call for an Ethics and Governance Action Plan to Harness the Power of Artificial Intelligence and Digitalization in Nephrology

2021 ◽  
Vol 41 (3) ◽  
pp. 282-293
Author(s):  
Calvin Wai-Loon Ho ◽  
Karel Caals
Keyword(s):  
Artificial Intelligence ◽  
Action Plan

scholarly journals Innovative Teaching Techniques for Entrepreneurship Education in the Era of Digitalisation

2020 ◽  
Vol 16 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Action Plan ◽  
Entrepreneurship Education ◽  
Young Generation ◽  
Innovative Teaching ◽  
Europe 2020 ◽  
Europe 2020 Strategy ◽  
Wide Range ◽  
Innovative Learning ◽  
Automated Software

Nowadays, in the digital age, automated software with machine learning and artificial intelligence is widely used in both business and everyday life, therefore it has to be used in education and achieving of its sustainability. The young generation makes extensive use of a wide range of software, so teaching with an auto-mated tool would be very attractive for students, but there is a need to increase teachers' digital skills and com-petencies. When studying entrepreneurship, students prefer innovative, practical teaching methods, involving automatic tools for validation of business idea feasibility.The aim of the study is to identify multidisciplinary and innovative educational approaches and techniques in entrepreneurship, containing training that uses automated software to test and improve the viability of students' business ideas.The authors followed the objectives of the Europe 2020 Strategy and the Entrepreneurship 2020 Action Plan. Digitalization creates and will create more and more possibilities in future to use automatic digital tools in edu-cation and solutions in form of artificial intelligence that might be scalable and widely applied for the distance learning as evidenced by the crisis caused by COVID-19.The research is based on existing researches and comparative analysis of teaching entrepreneurship, statistical data analysis and survey conducted by authors. Discussion on and identification of innovative learning and teach-ing techniques in entrepreneurship education is also included.

scholarly journals Taking Principles Seriously: A Hybrid Approach to Value Alignment in Artificial Intelligence

2021 ◽  
Vol 70 ◽  
pp. 871-890
Author(s):  
Tae Wan Kim ◽  
John Hooker ◽  
Thomas Donaldson
Keyword(s):  
Artificial Intelligence ◽  
Action Plan ◽  
Ethical Reasoning ◽  
Hybrid Approach ◽  
Naturalistic Fallacy ◽  
Ethical Principles ◽  
Rule Base ◽  
Empirical Observation ◽  
Deontological Ethics

An important step in the development of value alignment (VA) systems in artificial intelligence (AI) is understanding how VA can reflect valid ethical principles. We propose that designers of VA systems incorporate ethics by utilizing a hybrid approach in which both ethical reasoning and empirical observation play a role. This, we argue, avoids committing “naturalistic fallacy,” which is an attempt to derive “ought” from “is,” and it provides a more adequate form of ethical reasoning when the fallacy is not committed. Using quantified model logic, we precisely formulate principles derived from deontological ethics and show how they imply particular “test propositions” for any given action plan in an AI rule base. The action plan is ethical only if the test proposition is empirically true, a judgment that is made on the basis of empirical VA. This permits empirical VA to integrate seamlessly with independently justified ethical principles. This article is part of the special track on AI and Society.

scholarly journals Education Informatization 2.0 in China: Motivation, Framework, and Vision

2020 ◽  
pp. 209653112094492
Author(s):  
Shouxuan Yan ◽  
Yun Yang
Keyword(s):  
Artificial Intelligence ◽  
Action Plan ◽  
Educational Resources ◽  
National Network ◽  
Education Governance ◽  
Education Service ◽  
New Models ◽  
Teachers And Students ◽  
Artificial Intelligence Technology ◽  
New Education

Purpose: This article aims to shed light on a latest education informatization policy blueprint in China, titled Education Informatization 2.0 Action Plan, which was promulgated by the Ministry of Education in China on April 18, 2018. Design/Approach/Methods: The study is an analytical policy review based on the policy documents, theoretical discussion, and development of practice. Findings: This new Chinese education informatization policy was driven by three factors: the promotion of education informatization 1.0 in China, the requirement of education modernization toward 2035, and the response to “Wisdom Education.” The framework for action can be summarized as “One Goal, Three Tasks, and Eight Actions.” The main features involve innovation-driven development rather than technology-driven development, committing to the expansion of digital educational resources rather than the digital presentation of textbooks, and aiming at improving teachers and students’ information literacy rather than the applied skills of information technology. The future vision of the plan involves building new models on talent cultivation, education service, and education governance. The new models on talent cultivation involve establishing “Wisdom Teaching” mode, learning mode, and intelligent learning environment supported by artificial intelligence technology. The new education service models entail building the admission and sharing mechanism of quality educational resources based on National Network for Education and the public service platform and system for educational resources by means of the cloud computing and artificial intelligence. The new education governance models involve achieving precise, flat, and humanized education governance. Originality/Value: This article entails expounding the motivation, framework for action, main features, and vision of the education informatization 2.0 in China, which will be helpful for learning and understanding the current background, stage, and future path of China’s education informatization.

scholarly journals Are the Robots Going to Take Our Jobs? This Is How American and Hungarian Economists of Generations Y and Z Conceive the Impact of Artificial Intelligence

2021 ◽  
Author(s):  
Kitti Dióssy
Keyword(s):  
Artificial Intelligence ◽  
Human Resources ◽  
Action Plan ◽  
Important Conclusion ◽  
Social Perspectives ◽  
Significant Difference ◽  
Two Generations ◽  
Questionnaire Method ◽  
The Impact

This paper examines how American and Hungarian economists of generation Y and Z view the impact of artificial intelligence (AI) in the short and long term. The choice of topic is motivated by the integration of AI into our everyday lives. Research has been carried out in human resources and social perspectives. Based on the responses of 147 Hungarian and 105 American economists surveyed within the framework of an online, anonymous questionnaire method, a positive vision emerges for young economists. They were confident in the social and economic welfare effects of AI. No significant difference can be found between the thinking of the two generations and the opinion of the nations. The most important conclusion from the empirical results is that AI does not take away the job of economists, but transforms it, and supports to appreciate the virtues of human resources. Accordingly, employers need to develop a shortand long-term action plan to secure their employees’ future.

scholarly journals THE CHANGES IN THE ROLES OF TEACHERS FROM THE PERSPECTIVE OF ARTIFICIAL INTELLIGENCE

2021 ◽  
Author(s):  
XIAOMIN LI
Keyword(s):  
Artificial Intelligence ◽  
Action Plan ◽  
Traditional Education ◽  
George Herbert ◽  
State Council ◽  
George Herbert Mead ◽  
Starting Point ◽  
Artificial Intelligence Technology ◽  
Technology And Education ◽  
The Times

Abstract. Information technology is constantly changing in the torrent of the times. Big data, Internet of Things, cloud computing and other technologies continue to break through their own barriers, strengthen the mutual integration between technology and education, and slowly fill the gap between artificial intelligence technology and education. Gradually realized education informatization and technology. In 2018, the State Council issued “China Education Informatization 2035”, “Education Informatization 2.0 Action Plan” and other documents, all of which are guiding, supporting and encouraging my country to realize the wisdom of education. The term role was first introduced by the American social psychologist George Herbert Mead to analyze that what is individuals should behave in different situations. This article takes artificial intelligence as the starting point and school education as the background, by analyzing the changes of artificial intelligence for education and the differences between traditional education, which will deepen the thinking and understanding of artificial intelligence and the professional roles of teachers.

scholarly journals Intelligent Process Automation of Industries Using Artificial Intelligence and Machine Learning

2021 ◽  
pp. 45-56
Author(s):  
Filippo Fabrocini
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Business Models ◽  
Action Plan ◽  
Major Elements ◽  
Process Automation ◽  
Goods And Services ◽  
Consumer Expectation ◽  
Disruptive Technologies ◽  
Intelligent Process

The application of Disruptive Technologies (DT), using Artificial Intelligence (AI) and Machine Learning (ML), is still a challenge for many industries in the modern age. Quick transformation of business’ models and enhancement of consumer expectation are fundamental elements of Intelligent Process Automation (IPA) to boosting delivery and production of goods and services. In this research contribution, we will evaluate IPAs and their influence in the management of industries. In that case, major elements of AI and ML will be discussed comprehensively. Areas of application and analysis will be discussed in relation to digital industries. The results in this contribution will be used as a recommend action plan for industries to enhance their management and optimization when it comes to AI and ML.

China's AI plan lays foundation for long-term strength

2018 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Action Plan ◽  
Information And Communications Technology ◽  
Foreign Firms ◽  
Content Type ◽  
Development Plans ◽  
The Government ◽  
Intelligence Development ◽  
New Generation ◽  
The Military

Subject China's AI development plans. Significance China's artificial intelligence (AI) industry received investment of 28 billion dollars last year, according to the China Academy of Information and Communications Technology. The government last July issued a Next generation artificial intelligence development plan, which sets a 1-trillion-renminbi (151-billion-dollar) 2030 target for China's core AI industry and a 10-trillion-renminbi target for related industries. A Three-year action plan for promoting development of a new generation artificial intelligence industry followed in December, setting numerous quantitative targets for 2020. Impacts Foreign AI professionals will be able to find well-paid employment in Chinese firms and institutions. Foreign firms working in AI will find eager partners and investors in China. Chinese experts will participate in international standard-setting and debates about ethics and safety. Close cooperation with the military on AI development will feed suspicion of Chinese technology firms overseas.

scholarly journals Possibilities at the Intersection of AI and Blockchain Technology

2019 ◽  
Vol 9 (1S) ◽  
pp. 135-144
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Data Sharing ◽  
Action Plan ◽  
Third Party ◽  
Human Beings ◽  
Intelligent Decision Making ◽  
Blockchain Technology ◽  
Intelligent Decision ◽  
The Given

Artificial intelligence and Blockchain are the most trending technologies these days, where artificial intelligence offers intelligent decision-making capabilities to machines which is similar to human beings and blockchain technology allows a decentralised pathway for encrypted data sharing between ledgers in a secured manner. Integration of both technologies forms a decentralised AI which enables the process of decision making on digitally encrypted platform for secure data sharing without involvement of any Third Party. This paper gives a detail on the possibilities of intersection of AI and Blockchain. The paper also contains the issues and problems related to the respective integration. An Algorithm is proposed in two parts, based on one of the given issues, which predicts the action plan of AI for destructing malware blocks in blockchain

scholarly journals Patients and clinicians perceived trust in internet-of-things (IoTs) systems to support asthma self-management: a qualitative study (Preprint)

2020 ◽  
Author(s):  
Chi Yan Hui ◽  
Brian McKinstry ◽  
Olivia Fulton ◽  
Mark Buchner ◽  
Hilary Pinnock
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Hospital Admissions ◽  
Action Plan ◽  
Trust Model ◽  
Self Management ◽  
Action Plans ◽  
Professional Networks ◽  
Perceived Trust ◽  
Management Functions

BACKGROUND Internet-of-things (IoT) systems with artificial intelligence can provide customised support for a range of self-management functions, but trust is vital to encourage patients to adopt such systems. OBJECTIVE We aimed to explore patients/clinicians’ trust in IoT systems in the context of asthma self-management (including emergency advice in action plans). METHODS We interviewed patients recruited from research registers and social media, purposively sampled to include a range of age/sex, action plan ownership, asthma duration, hospital admissions and experience with apps. Clinicians, (primary, secondary, community-based), were recruited from professional networks. We transcribed interviews and used thematic analysis to categorise IoT features with reference to McKnight’s trust model. RESULTS We interviewed twelve patients and twelve clinicians. Most patients believed an IoT system could help support a broad range of self-management tasks, but wanted the system to provide customised advice. They believed they could rely on the system to log their asthma condition and provide pre-set action plan advice triggered by their logs. However, they were not confident that the system could generate new advice or reach diagnostic conclusions without the interpretation of their trusted clinicians. Clinicians needed clinical evidence before trusting the system. CONCLUSIONS IoT systems were regarded as offering potentially helpful functionality in mediating the action plans developed with a trusted clinician, but technologically adept participants were not yet ready to trust artificial intelligence to generate novel advice. Research is needed to ensure that technological capability does not outstrip the trust of the individuals using it.

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