scholarly journals Ethics of AI in Education: Towards a Community-Wide Framework

2021 ◽  
Author(s):  
Wayne Holmes ◽  
Kaska Porayska-Pomsta ◽  
Ken Holstein ◽  
Emma Sutherland ◽  
Toby Baker ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Multidisciplinary Approach ◽  
Learning Experience ◽  
Unintended Consequences ◽  
General Level ◽  
Critical Gap ◽  
Ethical Intentions ◽  
Pedagogical Choices ◽  
Artificial Intelligence In Education ◽  
Present Possibility

AbstractWhile Artificial Intelligence in Education (AIED) research has at its core the desire to support student learning, experience from other AI domains suggest that such ethical intentions are not by themselves sufficient. There is also the need to consider explicitly issues such as fairness, accountability, transparency, bias, autonomy, agency, and inclusion. At a more general level, there is also a need to differentiate between doing ethical things and doing things ethically, to understand and to make pedagogical choices that are ethical, and to account for the ever-present possibility of unintended consequences. However, addressing these and related questions is far from trivial. As a first step towards addressing this critical gap, we invited 60 of the AIED community’s leading researchers to respond to a survey of questions about ethics and the application of AI in educational contexts. In this paper, we first introduce issues around the ethics of AI in education. Next, we summarise the contributions of the 17 respondents, and discuss the complex issues that they raised. Specific outcomes include the recognition that most AIED researchers are not trained to tackle the emerging ethical questions. A well-designed framework for engaging with ethics of AIED that combined a multidisciplinary approach and a set of robust guidelines seems vital in this context.

CONTENT OF TEACHING THE ELEMENTS OF ARTIFICIAL INTELLIGENCE IN A SCHOOL INFORMATICS COURSE

2020 ◽  
pp. 3-10
Author(s):  
I. V. Levchenko
Keyword(s):  
Artificial Intelligence ◽  
General Education ◽  
Extracurricular Activities ◽  
Information Technologies ◽  
Learning Experience ◽  
9Th Grade ◽  
Modern Information ◽  
Further Development ◽  
Form Variant ◽  
Theoretical Foundations

The article considers the feasibility of integrating artificial intelligence technologies into school education and identifies a problem in identifying didactic elements in the field of artificial intelligence, which must be mastered in a school informatics course. The purpose of the article is to propose variant of the content of teaching the elements of artificial intelligence for the general education of schoolchildren as part of the curricular and extracurricular activities in informatics. An analysis of the psychological, pedagogical and scientific-methodical literature in the field of artificial intelligence made it possible to identify the appropriateness of teaching schoolchildren the elements of artificial intelligence in the framework of a comprehensive informatics course, as the theoretical foundations of modern information technologies. Summarizing and systematizing the learning experience of schoolchildren in the field of artificial intelligence made it possible to form variant of the content of teaching the elements of artificial intelligence, which can be implemented in a compulsory informatics course for 9th grade, as well as in elective classes. The results of the study are the theoretical basis for the further development of the components of the methodological system of teaching the elements of artificial intelligence in a school informatics course. The research materials may be useful to specialists in the field of teaching informatics and to informatics teachers.

scholarly journals How will artificial intelligence and bioinformatics change our understanding of IgA in the next decade?

2021 ◽  
Author(s):  
Roman David Bülow ◽  
Daniel Dimitrov ◽  
Peter Boor ◽  
Julio Saez-Rodriguez
Keyword(s):  
Artificial Intelligence ◽  
Multidisciplinary Approach ◽  
Immunoglobulin A ◽  
Improve Patient Care ◽  
Integrated Analysis ◽  
Clinical Expertise ◽  
End Stage ◽  
The Complement System ◽  
Improve Patient ◽  
Generation Sequencing

AbstractIgA nephropathy (IgAN) is the most common glomerulonephritis. It is characterized by the deposition of immune complexes containing immunoglobulin A (IgA) in the kidney’s glomeruli, triggering an inflammatory process. In many patients, the disease has a progressive course, eventually leading to end-stage kidney disease. The current understanding of IgAN’s pathophysiology is incomplete, with the involvement of several potential players, including the mucosal immune system, the complement system, and the microbiome. Dissecting this complex pathophysiology requires an integrated analysis across molecular, cellular, and organ scales. Such data can be obtained by employing emerging technologies, including single-cell sequencing, next-generation sequencing, proteomics, and complex imaging approaches. These techniques generate complex “big data,” requiring advanced computational methods for their analyses and interpretation. Here, we introduce such methods, focusing on the broad areas of bioinformatics and artificial intelligence and discuss how they can advance our understanding of IgAN and ultimately improve patient care. The close integration of advanced experimental and computational technologies with medical and clinical expertise is essential to improve our understanding of human diseases. We argue that IgAN is a paradigmatic disease to demonstrate the value of such a multidisciplinary approach.

scholarly journals Artificial Intelligence in education: Using heart rate variability (HRV) as a biomarker to assess emotions objectively

2021 ◽  
Vol 2 ◽  
pp. 100011
Author(s):  
Joanne Wai Yee Chung ◽  
Henry Chi Fuk So ◽  
Marcy Ming Tak Choi ◽  
Vincent Chun Man Yan ◽  
Thomas Kwok Shing Wong
Keyword(s):  
Artificial Intelligence ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Artificial Intelligence In Education

scholarly journals Enhancing trust in AI through industry self-governance

2021 ◽  
Author(s):  
Joachim Roski ◽  
Ezekiel J Maier ◽  
Kevin Vigilante ◽  
Elizabeth A Kane ◽  
Michael E Matheny
Keyword(s):  
Artificial Intelligence ◽  
At Risk ◽  
Comprehensive Approach ◽  
Mitigation Strategies ◽  
Diverse Group ◽  
Critical Gap ◽  
Healthcare Data ◽  
Current Health

Abstract Artificial intelligence (AI) is critical to harnessing value from exponentially growing health and healthcare data. Expectations are high for AI solutions to effectively address current health challenges. However, there have been prior periods of enthusiasm for AI followed by periods of disillusionment, reduced investments, and progress, known as “AI Winters.” We are now at risk of another AI Winter in health/healthcare due to increasing publicity of AI solutions that are not representing touted breakthroughs, and thereby decreasing trust of users in AI. In this article, we first highlight recently published literature on AI risks and mitigation strategies that would be relevant for groups considering designing, implementing, and promoting self-governance. We then describe a process for how a diverse group of stakeholders could develop and define standards for promoting trust, as well as AI risk-mitigating practices through greater industry self-governance. We also describe how adherence to such standards could be verified, specifically through certification/accreditation. Self-governance could be encouraged by governments to complement existing regulatory schema or legislative efforts to mitigate AI risks. Greater adoption of industry self-governance could fill a critical gap to construct a more comprehensive approach to the governance of AI solutions than US legislation/regulations currently encompass. In this more comprehensive approach, AI developers, AI users, and government/legislators all have critical roles to play to advance practices that maintain trust in AI and prevent another AI Winter.

scholarly journals Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021

AI and Ethics ◽  
2021 ◽  
Author(s):  
Muhammad Ali Chaudhry ◽  
Emre Kazim
Keyword(s):  
Artificial Intelligence ◽  
Intelligent Tutoring Systems ◽  
Policy Makers ◽  
Tutoring Systems ◽  
Research And Practice ◽  
The Past ◽  
Artificial Intelligence In Education ◽  
Potential Impact ◽  
High Level ◽  
Contextualized Learning

AbstractIn the past few decades, technology has completely transformed the world around us. Indeed, experts believe that the next big digital transformation in how we live, communicate, work, trade and learn will be driven by Artificial Intelligence (AI) [83]. This paper presents a high-level industrial and academic overview of AI in Education (AIEd). It presents the focus of latest research in AIEd on reducing teachers’ workload, contextualized learning for students, revolutionizing assessments and developments in intelligent tutoring systems. It also discusses the ethical dimension of AIEd and the potential impact of the Covid-19 pandemic on the future of AIEd’s research and practice. The intended readership of this article is policy makers and institutional leaders who are looking for an introductory state of play in AIEd.

ARTIFICIAL INTELLIGENCE AND ITS STARRING ROLE IN DENTISTRY: A PERSPECTIVE QUESTIONNAIRE STUDY WITH REVIEW OF LITERATURE.

2021 ◽  
pp. 44-47
Author(s):  
V. Shakuntala Soujanya. V ◽  
N.Abhishek Reddy ◽  
K. Kranthi ◽  
Vinuthna Vinuthna ◽  
Prabhakar Rao
Keyword(s):  
Artificial Intelligence ◽  
Oral Cancer ◽  
Multidisciplinary Approach ◽  
Geriatric Patients ◽  
Special Care ◽  
Questionnaire Study ◽  
Review Of Literature ◽  
Advanced Technologies ◽  
Severe Infections ◽  
Dental Diseases

As there is increased preponderance and prevalence of varied diseases affecting huge population including dental diseases like severe infections secondary to pulpal and periodontal pathologies, Maxillary pathologies, Oral cancer, Osteoporosis, esthetical issues like Malocclusion, etc. which in turn should be given special care when it comes to geriatric patients and people suffering with various comorbidities where sometimes it demands for advanced technologies especially in terms of multidisciplinary approach, Articial intelligence has become a boon to dentistry making their work more simpler and accurate. This article is one of its own kind of rare questionnaire study which focus on knowing knowledge, awareness and perception of dentists of northern telangana population regarding Articial intelligence.

scholarly journals Motivating employees to acquire digital skills

2020 ◽  
Vol 18 (3) ◽  
pp. 411-432
Author(s):  
Veronica I. Kabalina ◽  
◽  
Anna V. Makarova ◽  
Kira V. Reshetnikova ◽  
◽  
...  
Keyword(s):  
Information And Communication Technologies ◽  
Online Survey ◽  
Learning Experience ◽  
General Level ◽  
Working Population ◽  
Motivation For Learning ◽  
Digital Skills ◽  
Information And Communication ◽  
Level Of Motivation ◽  
The Relationship

Motivating the working population to master digital skills is an important condition for the digital transformation of the Russian economy and companies. The article examines the relationship between the general level of motivation for learning digital skills and a number of factors, assesses the average level of motivation for four groups of skills, and compares the level of motivation between groups of workers and their motives. Empirical data were obtained by conducting an online survey of the working population in March 2020, the target sample was 116 respondents. It was revealed that the general level of motivation of workers to learn decreases with the increasing complexity of digital skills. The hypotheses about the relationship between the level of motivation and the perceived difficulty of using information and communication technologies and previous learning experience were confirmed. Differences between the groups of workers in the level of motivation and the degree of mastering specialized digital skills, related to the nature of the work were revealed. A higher interest in mastering this group of skills, as well as the degree of mastering them, was demonstrated by the group of managers. The strongest motive for acquiring digital skills is the need to use them at work.

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