scholarly journals A Preliminary Study for Development of AMA about 10 Years Old Child Level - Focused on Development Process of AMA(Artificial Moral Agent) -

2017 ◽  
Vol null (57) ◽  
pp. 105-127
Author(s):  
김은수 ◽  
김지원 ◽  
InJae Lee ◽  
변순용
Keyword(s):  
Development Process ◽  
Moral Agent ◽  
Artificial Moral Agent ◽  
Preliminary Study

Establishment of Ontology for Artificial Moral Agent

2019 ◽  
Vol 20 (11) ◽  
pp. 2237-2242
Author(s):  
Gyun-Yeol Park
Keyword(s):  
Moral Agent ◽  
Artificial Moral Agent

Possibilities and challenges in the development of a global flood disaster risk indicator from the post-2015 UN processes perspective: a preliminary study

Water Policy ◽  
2014 ◽  
Vol 17 (2) ◽  
pp. 208-227 ◽  
Author(s):  
Sangeun Lee ◽  
Toshio Okazumi ◽  
Youngjoo Kwak
Keyword(s):  
Development Process ◽  
State Of The Art ◽  
Developed Countries ◽  
Disaster Risk ◽  
Flood Disaster ◽  
Risk Indicators ◽  
Risk Indicator ◽  
Flood Inundation ◽  
Large Area ◽  
Preliminary Study

This study aims to contemplate possibilities and challenges in the current development of global flood disaster risk indicators (GFDRIs). To this end, methodological requirements are first identified from stakeholders' opinions included in the post-2015 UN Development process and the post-2015 Hyogo Framework for Actions process. Then, state-of-the-art methods are applied, as a preliminary attempt, to fourteen countries in Asia to understand how the GFDRI estimates plausibly describe the number of affected people and fatalities under the 50-year return period condition. The results show that GFDRIs are capable of overcoming the unavailability of data necessary to analyze flood inundation depths and areas, describing the number of people affected by flood events, using vulnerability proxies contextually meaningful to understand why flood fatalities disproportionally occur in less developed countries, and making GFDRIs simple, understandable and transparent estimates. Simultaneously, it is revealed that there is still much room to technically improve GFDRIs, especially in dealing with reluctance in assigning a single value to an indicator for a large area such as a country, inaccessibility to authorized disaster records, difficulties in showing the effectiveness of infrastructure such as dams and dykes, and lack of local knowledge about vulnerability.

The Moral PhilosophicalㆍPsychological Reflection on Artificial Moral Agent

2017 ◽  
Vol 46 ◽  
pp. 93-129
Author(s):  
Yong-Seong Choi ◽  
◽  
Myung-Ju Chun
Keyword(s):  
Moral Agent ◽  
Artificial Moral Agent

scholarly journals The Ethical Principles for the Development of Artificial Moral Agent - Focusing on the Top - down Approach -

2016 ◽  
Vol 1 (111) ◽  
pp. 31-53 ◽  
Author(s):  
최현철 ◽  
신현주 ◽  
변순용
Keyword(s):  
Moral Agent ◽  
Ethical Principles ◽  
Top Down ◽  
Artificial Moral Agent

Ethics of AI

2011 ◽  
pp. 279-284
Author(s):  
Kevin B. Korb
Keyword(s):  
Unethical Behavior ◽  
Moral Agent ◽  
Artificial Moral Agent ◽  
Moral Problems

The first question concerns the kinds of AI we might achieve moral, immoral, or amoral. The second concerns the ethics of our achieving such an AI. They are more closely related than a first glance might reveal. For much of technology, the National Rifle Association’s neutrality argument might conceivably apply: “guns don’t kill people, people kill people.” But if we build a genuine, autonomous AI, we arguably will have to have built an artificial moral agent, an agent capable of both ethical and unethical behavior. The possibility of one of our artifacts behaving unethically raises moral problems for their development that no other technology can.

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