scholarly journals Arguing from Definition to Verbal Classification: The Case of Redefining 'Planet' to Exclude Pluto

2008 ◽  
Vol 28 (2) ◽  
pp. 129 ◽  
Author(s):  
Douglas Walton
Keyword(s):  
Artificial Intelligence ◽  
Scientific Argumentation ◽  
Argumentation Schemes ◽  
Argumentation Scheme ◽  
Rational Argumentation

The recent redefinition of 'planet' that excludes Pluto as a planet led to controversy that provides a case study of how competing scientific definitions can be supported by characteristic types of evidence. An argumentation scheme from Hastings is used to analyze argument from verbal classification as a form of inference used in rational argumentation. The Toulmin-style format is compared to more recently developed ways of modeling such cases that stem from advances in argumentation technology in artificial intelligence. Usingthese tools, it is shown how argumentation schemes, in particularargument from verbal classification and argument from definition to verbal classification, apply to cases of scientific argumentation.

Argumentation Schemes for Collaborative Debate of Requirement Risks in Software Projects

2017 ◽  
Vol 27 (09n10) ◽  
pp. 1613-1635 ◽  
Author(s):  
Denise da Luz Siqueira ◽  
Lisandra M. Fontoura ◽  
Rafael H. Bordini ◽  
Luis A. L. Silva
Keyword(s):  
Artificial Intelligence ◽  
Risk Management ◽  
Argumentation Schemes ◽  
Software Projects ◽  
Quality Requirements ◽  
Poor Understanding ◽  
Software Engineers ◽  
Client Needs ◽  
Significant Class

Managing risks in real-world software projects is of paramount importance. A significant class of such risks is related to the engineering of requirements, commonly involving the presentation and analysis of risk management arguments from both software engineers and clients involved in collaborative debates. In this work, drawing inspiration from argumentation theory in Artificial Intelligence, we introduce a number of “argumentation schemes” and associated “critical questions” to support such discussions. In doing so, we propose schemes related to risks due to excessive numbers of requirements; inadequate client representatives and poor understanding of client needs; incorrect, incomplete and conflicting requirements; complex and non-traceable requirements; non-stable requirements; and low quality requirements. We also discuss a case study and two experiments where the developed schemes supported the discussion of requirement risks in software projects. The overall results of these experiments indicate that our schemes are useful in the identification, proposition and analysis of requirement risks, adequately supporting debates on requirement risks.

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

Smart design of intelligent companion toys for preschool children

2020 ◽  
pp. 1-14
Author(s):  
Xin Wang ◽  
Nian Yin ◽  
Zhinan Zhang
Keyword(s):  
Artificial Intelligence ◽  
Early Childhood ◽  
Preschool Children ◽  
Essential Role ◽  
Childhood Education ◽  
Child Centered ◽  
Toy Design ◽  
Complete Framework ◽  
New Framework

Abstract Early childhood education has long-lasting influences on people, and an appropriate companion toy can play an essential role in children's brain development. This paper establishes a complete framework to guide the design of intelligent companion toys for preschool children from 2 to 6 years old, which is child-centered and environment-oriented. The design process is divided into three steps: requirement confirmation, the smart design before the sale, and the iterative update after the sale. This framework considers the characteristics of children and highlights the integration of human and artificial intelligence in design. A case study is provided to prove the superiority of the new framework. In addition to enriching the research on intelligent toy design, this paper also guides for practitioners to design smart toys and helps in children's cognitive development.

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.

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