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信頼・透明性arXiv:2003.01238

ロボットの心の読み取りと信頼の問題

Robot Mindreading and the Problem of Trust

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ロボットへの心の帰属(マインドリーディング)が信頼を高めるかを検討し、透明性向上の試みがかえって自動意思決定の不透明さを増すトレードオフを論じた概念論文。

著者: Andrés Páez

分類: cs.RO, cs.AI, cs.CY, cs.HC

原文アブストラクト

This paper raises three questions regarding the attribution of beliefs, desires, and intentions to robots. The first one is whether humans in fact engage in robot mindreading. If they do, this raises a second question: does robot mindreading foster trust towards robots? Both of these questions are empirical, and I show that the available evidence is insufficient to answer them. Now, if we assume that the answer to both questions is affirmative, a third and more important question arises: should developers and engineers promote robot mindreading in view of their stated goal of enhancing transparency? My worry here is that by attempting to make robots more mind-readable, they are abandoning the project of understanding automatic decision processes. Features that enhance mind-readability are prone to make the factors that determine automatic decisions even more opaque than they already are. And current strategies to eliminate opacity do not enhance mind-readability. The last part of the paper discusses different ways to analyze this apparent trade-off and suggests that a possible solution must adopt tolerable degrees of opacity that depend on pragmatic factors connected to the level of trust required for the intended uses of the robot.

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