Jul 18, 2020
Collection and sale of personal data is a common and economically rewarding activity. However, the contractual model of notice and consent that governs this activity under U.S. law relies on an assumption that personal data can and does function as a market good. This paper presents experimental evidence of a conflict between the market nature of personal data assumed by many legal frameworks and the conceptual categorization of personal data transactions by the ordinary people putatively protected by notice and consent legal frameworks. I present two online vignette studies that repurpose designs from the taboo trade-offs literature and suggest that protection of personal data rises to the level of a sacred value.
The International Conference on Machine Learning (ICML) is the premier gathering of professionals dedicated to the advancement of the branch of artificial intelligence known as machine learning. ICML is globally renowned for presenting and publishing cutting-edge research on all aspects of machine learning used in closely related areas like artificial intelligence, statistics and data science, as well as important application areas such as machine vision, computational biology, speech recognition, and robotics. ICML is one of the fastest growing artificial intelligence conferences in the world. Participants at ICML span a wide range of backgrounds, from academic and industrial researchers, to entrepreneurs and engineers, to graduate students and postdocs.
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