인공지능과 도덕적 기계 - 칸트적 모델과 흄적 모델

Artificial Intelligence and Moral Machine - Kantian Model and Humean Model

초록

Artificial intelligence is a system of information and rules, and a formal system of coding, programming, and deep learning algorithms. Deep Learning 2.0 version is an algorithmic operating system based on artificial neural network structure, and it learns big data on its own and handles things without being blocked by precise and accurate calculations and quick judgments. It seems like an ideal being that combines theoretical and practicality into one. In the case of humans, there are capable and bad people, but artificial intelligence, which chooses only morally right things, can be seen as artificial moral agents or moral machines. However, we generally apply the term 'moral' to those who are free to choose to think and judge for themselves. Human beings are considered to have this sense of moral autonomy. According to this, moral machines are impossible in principle. Thus, artificial moral agents should be viewed as beings with only engineering autonomy, which is nothing more than the automation of automatic machines. However, there is also a view that this is only reasonable if a particular moral view of moral autonomy is adopted. This article attempts to design the possible models of the moral machine in the position that there may be a variety of perspectives understanding ‘moral’.

키워드

Artificial IntelligenceMoral MachineArtificial Moral AgentRobotHuman IntelligenceSuperintelligenceNatural IntelligenceArtificial Neural NetworkArtificial speciesRule-based systemDeep LearningBig DataMachine studying algorithm인공지능도덕적 기계인공적 도덕 행위자초지능인간지능자연지능인공지능 로봇규칙 기반 윤리알고리즘딥러닝빅데이터기계학습 알고리즘인공신경망
제목
인공지능과 도덕적 기계 - 칸트적 모델과 흄적 모델
제목 (타언어)
Artificial Intelligence and Moral Machine - Kantian Model and Humean Model
저자
김다솜맹주만
DOI
10.33156/philos.2021.62..006
발행일
2021
저널명
철학탐구
62
페이지
177 ~ 216