In recent years, Artificial Intelligence (AI) has become a boom due to the
enhancement of the network environment. The analysis of “Big Data” has made it
possible to discover new data features, and Deep Learning has improved the accuracy
of inferences made by artificial intelligence. Since the analysis requires collecting a
large amount of personal information, the government promotes the utilization of
personal data. However, it also carries the risk of neglecting privacy protection.
Traditional privacy can no longer cope with this situation. In the case of the analysis
based on information provided by the individual’s consent, it is difficult to assert tort
privacy because there is no invasion. The privacy self-management is also difficult since
they read the privacy policy not carefully and agree to it.
To solve the problem, this article focuses on the “Privacy as Trust” in the United
States. This argument is protecting personal information by fiduciary duty and it has
the potentiality to improve such situations. This article summarizes the recent changes
in social background and its theoretical premise in order to explain why “Privacy as
Trust” has emerged.
内容記述
近年、ネットワーク環境の充実化により、大量の個人情報を収集され、プライバシーの保護がおろそかになるというリスクも生じている。このような状況においては、侵襲がないため、伝統的な不法行為プライバシーでは対処できなくなっている。また、プライバシー・ポリシーを熟読せず同意しているため、プライバシーの自己管理も困難である。
その問題を解決するために、本稿では、アメリカにおけるPrivacy as Trust 論に着目し、この議論が登場した近年の社会背景とその理論的前提を整理する。
アメリカにおけるPrivacy as Trust論の理論的前提－新たなプライバシー権論の構築に向けて－
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