scholarly journals A science paradigm shift is needed for Earth and Environmental Systems Sciences (EESS) to integrate Knowledge-Guided Artificial Intelligence (KGAI) and lead new EESS-KGAI theories

2021 ◽  
Author(s):  
Nathalie Voisin
Keyword(s):  
Artificial Intelligence ◽  
Paradigm Shift ◽  
Environmental Systems

scholarly journals Connotation Analysis and Paradigm Shift of Teaching Design under Artificial Intelligence Technology

2021 ◽  
Vol 16 (05) ◽  
pp. 73
Author(s):  
Jian Huang ◽  
Gang Shen ◽  
Xiping Ren
Keyword(s):  
Artificial Intelligence ◽  
Paradigm Shift ◽  
Learning Ability ◽  
Teaching Activities ◽  
Learning Efficiency ◽  
Teaching Objectives ◽  
Teaching Design ◽  
Teachers And Students ◽  
Artificial Intelligence Technology ◽  
Teaching Efficiency

The influence of artificial intelligence technology on teaching design is explored to improve teaching efficiency. First, artificial intelligence is introduced and its impacts on teaching design are analyzed. Second, the connotation of the paradigm of teaching design and the paradigm shift for teaching design are explored using the paradigm shift analysis framework. Finally, the changes in teaching design under artificial intelligence are analyzed, and the impacts of artificial intelligence on teaching activities are investigated. The results show that the application of artificial intelligence technology has led to different levels of change in the six elements of teaching design, including teaching objectives, service objects (teachers and students), teaching content, teaching media, teaching environment, and teaching evaluation. The connotation and paradigm shift of the teaching design are introduced from the four elements based on the artificial intelligence technology. It is found that artificial intelligence technology can enhance the learning ability and cognitive ability of students to a certain extent while improving the teaching efficiency and learning efficiency. The investigation proves that the teaching design based on artificial intelligence technology can be applied to teaching activities, thereby improving the learning efficiency of students and the teaching efficiency of teachers.

scholarly journals Artificial Intelligence in Musculoskeletal Imaging: A Paradigm Shift

2019 ◽  
Vol 35 (1) ◽  
pp. 28-35 ◽  
Author(s):  
Joseph E Burns ◽  
Jianhua Yao ◽  
Ronald M Summers
Keyword(s):  
Artificial Intelligence ◽  
Paradigm Shift ◽  
Musculoskeletal Imaging

scholarly journals Escaping the McNamara Fallacy: Towards more Impactful Recommender Systems Research

AI Magazine ◽  
2020 ◽  
Vol 41 (4) ◽  
pp. 79-95
Author(s):  
Dietmar Jannach ◽  
Christine Bauer
Keyword(s):  
Artificial Intelligence ◽  
Recommender Systems ◽  
Real World ◽  
Paradigm Shift ◽  
Prediction Accuracy ◽  
Research Community ◽  
Research Culture ◽  
Research Gaps ◽  
Systems Research ◽  
Research Questions

Recommender systems are among today’s most successful application areas of artificial intelligence. However, in the recommender systems research community, we have fallen prey to a McNamara fallacy to a worrying extent: In the majority of our research efforts, we rely almost exclusively on computational measures such as prediction accuracy, which are easier to make than applying other evaluation methods. However, it remains unclear whether small improvements in terms of such computational measures matter greatly and whether they lead us to better systems in practice. A paradigm shift in terms of our research culture and goals is therefore needed. We can no longer focus exclusively on abstract computational measures but must direct our attention to research questions that are more relevant and have more impact in the real world. In this work, we review the various ways of how recommender systems may create value; how they, positively or negatively, impact consumers, businesses, and the society; and how we can measure the resulting effects. Through our analyses, we identify a number of research gaps and propose ways of broadening and improving our methodology in a way that leads us to more impactful research in our field.

scholarly journals Roboter als Rechtssubjekte – Der Streit um die E-Person

2021 ◽  
Vol 30 ◽  
pp. 32-39
Author(s):  
Doris Forster ◽  
Janika Rieder
Keyword(s):  
Artificial Intelligence ◽  
Legal System ◽  
Paradigm Shift ◽  
European Parliament ◽  
Human Beings ◽  
Sociological Perspective ◽  
Legal Personhood

The European Parliament has proposed legal personhood for artificial intelligence entities, to ensure honouring of rights and responsibility. The article discusses the question of legal personhood for non-human beings from a legal-historical and legal-sociological perspective. In addition, it examines legal personhood in the modern German legal system and discusses the implementation of a tertium genus for artificial intelligence as proposed by the European Parliament. This analysis leads to the conclusion that introduction of e-personhood would constitute a paradigm shift that blurs the boundaries between humans and machines.

scholarly journals Use of Artificial Intelligence in Healthcare and Medicine

2020 ◽  
Author(s):  
Deekshaa Khanna
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Cognitive Functions ◽  
Paradigm Shift ◽  
Human Performance ◽  
Analytical Techniques ◽  
Medical Field ◽  
Healthcare Data ◽  
Wide Range ◽  
Different Types

Artificial Intelligence is a field of computer science that mimic human cognitive functions. It has brought a paradigm shift in the medical field mostly due to the increase in healthcare data and rapid increase of analytical techniques. In recent years AI has surpassed human performance in several medical field areas, and this is a great adoption in healthcare. Also, through the use of analytical techniques, AI has the capabilities to prevent, detect, diagnose, and treat a wide range of diseases. This research paper will discuss different types of Artificial Intelligence techniques and how AI has been used in healthcare. Also, it will provide a view of the future of Artificial Intelligence in healthcare.

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