A definitive philosophical monograph analyzing how Philippa Foot's classic 1967 trolley problem has transformed into mission-critical software engineering algorithms for autonomous vehicles and artificial intelligence. Key philosophical and technical themes explored:
📜철학 & 인문학적 사유✓ 검증 완료: 전문 연구진 감수
Ethics in the Age of AI & The Evolution of the Trolley Problem: Autonomous Vehicle Moral Machine, Utilitarianism vs Deontology, AI Value Alignment, and Robot Ethics
An exhaustive philosophical inquiry into Philippa Foot trolley problem applied to autonomous vehicle crash algorithms: Utilitarianism vs Kantian deontology, MIT Moral Machine 40-million-decision cross-cultural findings, black-box responsibility gaps, German Ethics Commission 20 principles, and Inverse Reinforcement Learning value alignment.
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사냥개 철학 & 인문사상 통찰연구팀
사냥개 철학 & 인문사상 통찰연구팀
📅 2026-09-10⏱️ 27 min read
# Ethics in the Age of AI & The Evolution of the Trolley Problem: Moral Machine, Utilitarianism vs Deontology, and Value AlignmentThe transition from theoretical ethical thought experiments to pre-programmed autonomous vehicle crash avoidance code.
Philosophical clashes: Utilitarian loss functions (minimizing casualties) versus Kantian deontology (categorical imperative prohibiting treating humans as mere means).
Empirical findings of the MIT Moral Machine experiment across 40 million decisions in 233 nations, uncovering deep Western, Eastern, and Southern cultural clusters.
The Black Box Problem and the Responsibility Gap in deep learning neural networks.
The German Federal Ministry of Transport's world-first 20 ethical guidelines establishing human dignity and strict prohibitions against demographic discrimination in crash algorithms.
Stuart Russell's Inverse Reinforcement Learning (IRL) framework for AI value alignment and provably beneficial AI architectures.
태그:#AI윤리학#트롤리딜레마#모럴머신#자율주행알고리즘#공리주의#칸트의무론#인공지능정렬#기계윤리#가치학습#기술철학
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사냥개 철학 & 인문사상 통찰연구팀
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